{ "schemaVersion": "1.0", "publisher": { "name": "Beijing Starixs Technology Co., Ltd.", "alternateName": "北京智码星图科技有限公司", "url": "https://www.starixs.com/", "email": "contact@starixs.com", "role": "directory-operator" }, "language": "en", "library": "tools", "records": [ { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "suitable", "label": "Useful for", "text": "Use it as the model backend for apps, coding assistants or agents, with configurable thinking and tool calls. The foundation-model entry is for developers; the profile also links to chat.", "sourceUrls": [ "https://api-docs.deepseek.com/", "https://api-docs.deepseek.com/guides/thinking_mode/" ] }, { "key": "access", "label": "Access & setup", "text": "Obtain an API key, then configure the endpoint, model and messages. Current documented IDs are deepseek-flash and deepseek-v4-pro. Chat sign-in does not configure an API client.", "sourceUrls": [ "https://api-docs.deepseek.com/" ] }, { "key": "workflow", "label": "Suggested workflow", "text": "Start with a small set of real tasks to compare thinking settings, latency and token use. Flash and Pro differ in vision support; check the model table before sending images.", "sourceUrls": [ "https://api-docs.deepseek.com/", "https://api-docs.deepseek.com/guides/thinking_mode/", "https://api-docs.deepseek.com/quick_start/pricing/" ] }, { "key": "cost", "label": "Billing model", "text": "API billing is based on input and output tokens; rates depend on the model and cache hits.", "sourceUrls": [ "https://api-docs.deepseek.com/quick_start/pricing/" ] }, { "key": "limits", "label": "Before you start", "text": "Search / Fetch has separate billing rules. The official page schedules per-request charges from November 1, 2026; it is currently free.", "sourceUrls": [ "https://api-docs.deepseek.com/quick_start/pricing/" ] } ] }, "id": "b2", "language": "en", "source_locale": "en", "source_market": "global", "source_edition": "same-product", "name": "DeepSeek", "originalName": "DeepSeek", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型", "AI助手与客户端" ], "categories": [ "Foundation models", "AI assistants & clients" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://platform.deepseek.com/", "summary": "DeepSeek model APIs for reasoning, code, structured output and tool calls." }, { "kind": "chat", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Web chat", "url": "https://chat.deepseek.com/", "summary": "Chat directly in DeepSeek’s web app, using thinking for text and coding tasks." } ], "summary": "A language-model service available through chat and compatible APIs for apps and agents.", "introduction": "DeepSeek provides a chat interface and developer APIs for language-model questions, generation and reasoning-based applications. Developers send messages and instructions through OpenAI- or Anthropic-compatible formats, or configure it as the backend of coding assistants and agents. Its SDK examples and agent-integration guides suit teams adding model capabilities to existing software.", "capabilities": [ { "title": "Compatible API calls", "description": "Call models with messages and task instructions using documented OpenAI and Anthropic API formats and SDK configurations." }, { "title": "Agent and coding integrations", "description": "Configure DeepSeek in compatible coding assistants or agent tools without building a separate chat interface." } ], "company": { "name": "DeepSeek (Hangzhou)", "originalName": "杭州深度求索人工智能基础技术研究有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://platform.deepseek.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://platform.deepseek.com/" }, { "kind": "product", "url": "https://chat.deepseek.com/" }, { "kind": "documentation", "url": "https://api-docs.deepseek.com/guides/thinking_mode/" } ], "news": [ { "id": "deepseek-1017", "importance": "minor", "product": "DeepSeek", "title": "DeepSeek updates V4.1-Flash-1017", "summary": "DeepSeek upgrades its web, app and API to V4.1-Flash-1017, retaining the deepseek-flash model ID and pricing. The update targets reasoning and agent tasks, with optimizations for DeepSeek Harness, Tencent CodeBuddy and WorkBuddy.", "originalPublishedOn": "2026-10-17", "source": "DeepSeek", "sourceUrl": "https://api-docs.deepseek.com/updates#deepseek-v41-flash-1017-update" }, { "id": "deepseek-search", "importance": "major", "product": "DeepSeek", "title": "DeepSeek opens its in-house search API", "summary": "DeepSeek opens Search / Fetch APIs for its own search engine, providing multilingual web search and page retrieval for models and agents.", "originalPublishedOn": "2026-10-17", "source": "DeepSeek", "sourceUrl": "https://api-docs.deepseek.com/updates#opening-up-the-in-house-search-api" }, { "id": "deepseek-v41", "importance": "major", "product": "DeepSeek", "title": "DeepSeek releases V4.1-Flash", "summary": "DeepSeek releases V4.1-Flash with native visual understanding and an asymmetric MoE architecture aimed at reducing inference and cache costs. The multimodal API uses deepseek-flash; older Flash model IDs temporarily route to the new model.", "originalPublishedOn": "2026-09-10", "source": "DeepSeek", "sourceUrl": "https://www.deepseek.com/en/news/deepseek-v4-1-flash/" } ], "links": { "interactive": "products/deepseek--b2.html", "reading": "read/en/products/deepseek--b2.html", "markdown": "read/en/products/deepseek--b2.md", "json": "read/en/products/deepseek--b2.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b914", "language": "en", "name": "Raixis", "originalName": "锐识AI", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究", "智能体应用" ], "categories": [ "Search & research", "AI agent applications" ], "entryPoints": [ { "kind": "website", "categoryKey": "搜索研究", "category": "Search & research", "label": "Visit website", "url": "https://www.raixis.cn/", "summary": "Research industries and companies by confirming an outline, retrieving data, charting, writing and checking citations, with editing and Word/PDF export." } ], "summary": "Research industries and companies by confirming an outline, retrieving data, charting, writing and checking citations, with editing and Word/PDF export.", "introduction": "Raixis is a research agent from 北京智码星图科技有限公司 for industry and company research, consulting and strategy teams. Users submit a question or materials and confirm an outline before agents retrieve sources, query data, calculate, chart and write. Plans, tool activity, outputs and citations appear together, allowing changes in direction. The site describes an indicator library combined with web retrieval and user materials, plus delivery checks for citations, unverifiable links, placeholders and formatting. Reports can be edited online and exported to Word or PDF.", "capabilities": [], "company": { "name": "Beijing Starixs Technology Co., Ltd.", "originalName": "北京智码星图科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.raixis.cn/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.raixis.cn/" }, { "kind": "documentation", "url": "https://www.starixs.com/" }, { "kind": "documentation", "url": "https://www.raixis.cn/terms" } ], "news": [], "links": { "interactive": "products/raixis--b914.html", "reading": "read/en/products/raixis--b914.html", "markdown": "read/en/products/raixis--b914.md", "json": "read/en/products/raixis--b914.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "chatgpt-stackoverflow", "relation": "company", "affectedProducts": [ { "id": "b0", "name": "ChatGPT" } ], "importance": "minor", "product": "ChatGPT", "title": "Stack Overflow reports tripled signups after launching its ChatGPT plugin", "summary": "The plugin lets users discover and configure Stack Overflow for Agents inside ChatGPT, reducing MCP setup steps. The team reports threefold signups and up to tenfold agent creation after launch; two engineers built the product with Codex in a few weeks.", "originalPublishedOn": "2026-10-16", "source": "OpenAI", "sourceUrl": "https://openai.com/index/stack-overflow-chatgpt-plugin" }, { "id": "openai-rosalind", "relation": "company", "affectedProducts": [], "importance": "major", "product": "OpenAI", "title": "OpenAI introduces the Rosalind Academic Plan", "summary": "The Rosalind Academic Plan offers eligible US university labs up to 30 free Business Standard seats for up to 12 months. Access to GPT-Rosalind and life-science tools requires approval; API access is not included.", "originalPublishedOn": "2026-10-15", "source": "OpenAI", "sourceUrl": "https://openai.com/index/introducing-the-rosalind-academic-plan" }, { "id": "chatgpt-oracle", "relation": "company", "affectedProducts": [ { "id": "b0", "name": "ChatGPT" } ], "importance": "minor", "product": "ChatGPT", "title": "Oracle’s ChatGPT and Codex workflow case study", "summary": "Oracle built a ChatGPT Work tool to research comparable roles, compensation and talent pools from a job description. Its recruiting lead reports preparation falling from 2–4 days to 15–20 minutes. Another team uses Codex to turn business questions into SQL queries and reports.", "originalPublishedOn": "2026-10-08", "source": "OpenAI", "sourceUrl": "https://openai.com/index/oracle" } ], "id": "b822", "language": "en", "name": "ChatGPT API", "originalName": "ChatGPT API", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://platform.openai.com/login", "summary": "OpenAI GPT APIs accept text and images and generate text and code for developers integrating models into their applications." } ], "summary": "OpenAI GPT APIs accept text and images and generate text and code for developers integrating models into their applications.", "introduction": "GPT is OpenAI’s generative model family for developers. Applications submit prompts and context through an API to produce text, code or summaries; the latest models in the official catalog also accept images and support multiple languages. Developers choose a model for their task and integrate through the Responses API and SDKs. The catalog documents context, input/output types and features per model, so ChatGPT’s full web experience is not equivalent to a single GPT API model. This entry opens the developer platform; ChatGPT is listed separately for direct chat.", "capabilities": [], "company": { "name": "OpenAI OpCo, LLC", "originalName": "OpenAI OpCo, LLC", "entities": [ { "name": "OpenAI Ireland Ltd.", "originalName": "OpenAI Ireland Ltd.", "role": "service-provider-eea-ch", "roleLabel": "Service provider (EEA and Switzerland)" } ], "note": "Service provider (EEA and Switzerland): OpenAI Ireland Ltd.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://platform.openai.com/login", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://platform.openai.com/login" }, { "kind": "documentation", "url": "https://developers.openai.com/api/docs/concepts" } ], "news": [], "links": { "interactive": "products/openai-gpt--b822.html", "reading": "read/en/products/openai-gpt--b822.html", "markdown": "read/en/products/openai-gpt--b822.md", "json": "read/en/products/openai-gpt--b822.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b616", "language": "en", "name": "Mistral AI", "originalName": "Mistral AI", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://console.mistral.ai/", "summary": "Mistral’s foundation-model lineup for general multimodal, reasoning and coding tasks, via API or licensed self-hosting." } ], "summary": "Mistral’s foundation-model lineup for general multimodal, reasoning and coding tasks, via API or licensed self-hosting.", "introduction": "This entry covers Mistral AI’s model lineup, including Mistral Large, Medium, Small and Ministral. Developers choose a model and submit text, code and supported images to generate responses, code or tool requests. Open-weight models can also be deployed under their respective licenses. The official catalog separates general models from OCR, speech and embedding models. Mistral Vibe, formerly Le Chat, is its user-facing application.", "capabilities": [], "company": { "details": { "facts": [ { "key": "website", "label": "Company website", "value": "https://mistral.ai/" }, { "key": "founded", "label": "Founded", "value": "2023" }, { "key": "founders", "label": "Founders", "value": "Arthur Mensch · Guillaume Lample · Timothee Lacroix" }, { "key": "focus", "label": "Business focus", "value": "Develops language and multimodal models, model APIs, enterprise AI solutions and end-user assistants." } ], "otherProducts": [ { "id": "b617", "name": "Mistral Vibe", "profile": "products/mistral-vibe--b617.html" } ] }, "name": "Mistral AI", "originalName": "Mistral AI", "country": { "codes": [ "FR" ], "names": [ "France" ], "display": "France", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://console.mistral.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://console.mistral.ai/" }, { "kind": "documentation", "url": "https://docs.mistral.ai/models" } ], "news": [ { "id": "mistral-voxtral3-20261020", "importance": "major", "product": "Mistral AI", "title": "Mistral introduces Voxtral 3 for real-time voice and tool use", "summary": "Voxtral 3 brings transcription, speech generation and a voice-agent SDK into streaming conversations with reasoning and tool use. The announcement lists separate language coverage for transcription and speech generation, offers API and self-deployment options, and allows individual pipeline models to be replaced.", "originalPublishedOn": "2026-10-20", "source": "Mistral AI", "sourceUrl": "https://mistral.ai/news/voxtral-3/" }, { "id": "mistral-large4-preview-20261006", "importance": "major", "product": "Mistral AI", "title": "Mistral Large 4 opens a preview API ahead of weight release", "summary": "Mistral introduces Large 4 in preview for coding, agent tasks and multimodal understanding. The announcement provides a preview API and schedules weights for later in the month; API preview access does not establish that weights were already downloadable at publication.", "originalPublishedOn": "2026-10-06", "source": "Mistral AI", "sourceUrl": "https://mistral.ai/news/mistral-large-4/" } ], "links": { "interactive": "products/mistral-ai--b616.html", "reading": "read/en/products/mistral-ai--b616.html", "markdown": "read/en/products/mistral-ai--b616.md", "json": "read/en/products/mistral-ai--b616.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "qwen-app-taobao-catalog-20260511", "relation": "company", "affectedProducts": [ { "id": "b14", "name": "Qwen App" } ], "importance": "minor", "product": "千问", "title": "Qwen App connects to Taobao’s full catalog for conversational shopping", "summary": "Alibaba announced full Taobao and Tmall catalog access for Qwen App in China, supporting conversational browsing, comparisons, orders and delivery management. The shopping assistant inside Taobao is a separate entry; virtual try-on was still planned for Qwen App at publication.", "originalPublishedOn": "2026-05-11", "source": "Alibaba Group", "sourceUrl": "https://www.alibabagroup.com/en-US/document-1991231293551017984" }, { "id": "qwen-app-agentic-services-20260115", "relation": "company", "affectedProducts": [ { "id": "b14", "name": "Qwen App" } ], "importance": "minor", "product": "千问", "title": "Qwen App tests connected shopping, travel and payments in China", "summary": "Qwen App announced connections to Taobao Instant Commerce, Fliggy, Amap and Alipay for conversational ordering, planning and bookings, with supported payments after user confirmation. Task Assistant was invite-only beta, demonstrating multi-document reports, phone confirmations and lightweight web apps.", "originalPublishedOn": "2026-01-15", "source": "Alibaba Group", "sourceUrl": "https://www.alibabagroup.com/en-US/document-1948497434959151104" } ], "id": "b823", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "Qwen", "originalName": "千问 Qwen", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://modelstudio.console.alibabacloud.com/", "summary": "Qwen models are available through Alibaba Cloud Model Studio using compatible interfaces or the DashScope SDK, with model selection per request." } ], "summary": "Qwen models are available through Alibaba Cloud Model Studio using compatible interfaces or the DashScope SDK, with model selection per request.", "introduction": "Qwen’s model service targets developers integrating generation into software, separately from ready-made chat interfaces such as Qwen App or Qwen Chat. Alibaba Cloud Model Studio offers OpenAI-compatible interfaces and the DashScope SDK: a request selects the model, submits messages and receives generated output. The official quickstart distinguishes regional endpoints, workspaces and key scope; these settings are not interchangeable across regions. Check the model catalog for capabilities, supported inputs and usage conditions. This entry opens the model-platform console.", "capabilities": [], "company": { "name": "Alibaba Cloud", "originalName": "阿里云", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://modelstudio.console.alibabacloud.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://modelstudio.console.alibabacloud.com/" }, { "kind": "documentation", "url": "https://github.com/QwenLM/Qwen" } ], "news": [], "links": { "interactive": "products/qwen-models--b823.html", "reading": "read/en/products/qwen-models--b823.html", "markdown": "read/en/products/qwen-models--b823.md", "json": "read/en/products/qwen-models--b823.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b824", "language": "en", "name": "Llama", "originalName": "Llama", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [ { "kind": "docs", "categoryKey": "模型开发", "category": "Model development", "label": "Model docs", "url": "https://github.com/meta-llama/llama-models", "summary": "Meta’s open-weight family provides text and vision models, model cards and licenses for developers choosing weights to deploy." } ], "summary": "Meta’s open-weight family provides text and vision models, model cards and licenses for developers choosing weights to deploy.", "introduction": "Llama serves developers deploying model weights themselves or accessing them through a provider. The official repository lists sizes, context lengths, input types, model cards and licenses by version, covering text and image-understanding models. These support text generation, conversation and visual understanding, with capabilities and hardware needs varying by version. Weight access and use follow the applicable license and use policy; open weights do not imply unrestricted commercial use. This entry opens the model repository, with deployment examples in the official Cookbook.", "capabilities": [], "company": { "name": "Meta", "originalName": "Meta", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://github.com/meta-llama/llama-models", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://github.com/meta-llama/llama-models" }, { "kind": "documentation", "url": "https://github.com/meta-llama/llama-cookbook" } ], "news": [], "links": { "interactive": "products/llama--b824.html", "reading": "read/en/products/llama--b824.html", "markdown": "read/en/products/llama--b824.md", "json": "read/en/products/llama--b824.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b825", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "ERNIE", "originalName": "文心 ERNIE", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://console.bce.baidu.com/qianfan/intl", "summary": "Baidu’s ERNIE model family exposes text and multimodal capabilities through Qianfan APIs, with weights and tools for open models." } ], "summary": "Baidu’s ERNIE model family exposes text and multimodal capabilities through Qianfan APIs, with weights and tools for open models.", "introduction": "ERNIE is Baidu’s model family, listed here for developer access separately from the consumer assistant. Qianfan provides model APIs, parameter controls, multilingual SDKs and compatible interfaces for text and multimodal processing. The official ERNIE repository also documents ERNIE 4.5 text and vision-language models and links ERNIEKit training tools and inference deployment projects. Hosted APIs and self-deployment are different access paths; check Qianfan’s catalog and each model card for availability, input types and licensing.", "capabilities": [], "company": { "name": "Baidu", "originalName": "百度", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://console.bce.baidu.com/qianfan/intl", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://console.bce.baidu.com/qianfan/intl" }, { "kind": "documentation", "url": "https://github.com/PaddlePaddle/ERNIE" } ], "news": [], "links": { "interactive": "products/ernie--b825.html", "reading": "read/en/products/ernie--b825.html", "markdown": "read/en/products/ernie--b825.md", "json": "read/en/products/ernie--b825.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b826", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "Seed", "originalName": "Seed", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://ai.byteplus.com/ark/region:ap-southeast-1/model/detail?name=dola-seed-2-1-turbo", "summary": "ByteDance Seed language and multimodal models support tool use, coding and image/video understanding through a model platform." } ], "summary": "ByteDance Seed language and multimodal models support tool use, coding and image/video understanding through a model platform.", "introduction": "Seed here means ByteDance’s language and multimodal model family rather than the entire Seed research organization. The official Seed2.1 page lists Pro and Turbo for multi-step agent tasks, tool use, code engineering and visual/video understanding. Developers connect the model to their applications and supply tools and execution environments for file or coding workflows. This entry uses the BytePlus model-platform link provided by the official page; regional services, model names and catalogs may differ. Seedance video generation and Seedream image generation are separate families.", "capabilities": [], "company": { "name": "ByteDance", "originalName": "字节跳动", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://ai.byteplus.com/ark/region:ap-southeast-1/model/detail?name=dola-seed-2-1-turbo", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://ai.byteplus.com/ark/region:ap-southeast-1/model/detail?name=dola-seed-2-1-turbo" }, { "kind": "documentation", "url": "https://docs.byteplus.com/en/docs/ModelArk/chat-api" } ], "news": [], "links": { "interactive": "products/seed-models--b826.html", "reading": "read/en/products/seed-models--b826.html", "markdown": "read/en/products/seed-models--b826.md", "json": "read/en/products/seed-models--b826.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "minimax-music3-20260813", "relation": "company", "affectedProducts": [ { "id": "b910", "name": "MiniMax Music" } ], "importance": "major", "product": "MiniMax Music", "title": "MiniMax releases Music 3.0 for complete-song generation", "summary": "Music 3.0 takes a creative description and optional lyrics. MiniMax describes a single generation covering composition, arrangement, vocals and production for songs up to five minutes. Its architecture separates global song structure from local acoustic detail and revises audio rendering.", "originalPublishedOn": "2026-08-13", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model" }, { "id": "official-minimax-h3-20260803", "relation": "company", "affectedProducts": [ { "id": "b713", "name": "Hailuo AI" } ], "importance": "major", "product": "海螺 AI", "title": "MiniMax releases open H3 models", "summary": "Publishes video-generation variants with different input formats, resolutions and generation methods.", "originalPublishedOn": "2026-08-03", "source": "MiniMax", "sourceUrl": "https://www.minimax.cn/news/minimax-h3-open-source" } ], "id": "b827", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "MiniMax Language Models", "originalName": "MiniMax 语言模型", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://platform.minimax.io/console/personal-info", "summary": "MiniMax language and multimodal coding APIs target long-context code tasks, with adjustable thinking depth on supported models." } ], "summary": "MiniMax language and multimodal coding APIs target long-context code tasks, with adjustable thinking depth on supported models.", "introduction": "MiniMax language models serve developers integrating inference into software through the API platform. The official catalog lists MiniMax-M3 and M3.1-Flash as multimodal coding models with long context; M3.1-Flash also lists tunable thinking depth. Developers choose a model on the platform for code generation and analysis workflows. Input support, parameters and allowances depend on the model and API documentation. The platform’s video, music and speech services are not outputs of the same language model.", "capabilities": [], "company": { "name": "MiniMax", "originalName": "MiniMax", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://platform.minimax.io/console/personal-info", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://platform.minimax.io/console/personal-info" } ], "news": [ { "id": "minimax-m31-flash-20261019", "importance": "major", "product": "MiniMax 语言模型", "title": "MiniMax releases M3.1 Flash through API and Code", "summary": "MiniMax released M3.1 Flash for agent tasks, coding and computer use through its API, M Plan and MiniMax Code. The announcement schedules weights for later release rather than establishing immediate open-weight availability.", "originalPublishedOn": "2026-10-19", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-m31f" } ], "links": { "interactive": "products/minimax-language-models--b827.html", "reading": "read/en/products/minimax-language-models--b827.html", "markdown": "read/en/products/minimax-language-models--b827.md", "json": "read/en/products/minimax-language-models--b827.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "access", "label": "Access & setup", "text": "Personal accounts on the China platform require identity verification before creating an API key. Use model ID step-5-preview with the OpenAI-compatible request format.", "sourceUrls": [ "https://platform.stepfun.com/docs/zh/quickstart/overview" ] }, { "key": "cost", "label": "Billing model", "text": "Hosted API billing follows input and output token use. Step Plan is a separate subscription route with its own entitlements and access conditions.", "sourceUrls": [ "https://platform.stepfun.com/docs/zh/guides/pricing/details" ] }, { "key": "limits", "label": "Before you start", "text": "Current hosted docs specify 1M context and up to 64k output. Self-deployment uses StepFun Model License 1.0, including commercial-license conditions for certain MaaS uses, rather than unconditional MIT/Apache terms.", "sourceUrls": [ "https://platform.stepfun.com/docs/zh/guides/models/step-5-preview", "https://github.com/stepfun-ai/Step-5-Preview/blob/main/LICENSE" ] } ] }, "id": "b937", "language": "en", "name": "Step 5 Preview", "originalName": "Step 5 Preview", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://platform.stepfun.com/", "summary": "StepFun’s multimodal foundation model: API access for text, image and video understanding, coding and tool use." } ], "summary": "StepFun’s multimodal foundation model: API access for text, image and video understanding, coding and tool use.", "introduction": "Step 5 Preview is StepFun’s multimodal foundation model for coding and professional knowledge work. Developers submit text, images or video through the official API, using up to 1M tokens of context for documents, charts or code tasks with text output. It supports reasoning settings, structured output and tool calls; the integrating application supplies search, execution and local-file access. This entry opens the official API platform.", "capabilities": [], "company": { "name": "StepFun AI Technology (Shanghai)", "originalName": "上海阶跃星辰智能科技股份有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://platform.stepfun.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://platform.stepfun.com/" }, { "kind": "documentation", "url": "https://platform.stepfun.com/docs/zh/guides/models/step-5-preview" }, { "kind": "documentation", "url": "https://platform.stepfun.com/docs/zh/quickstart/overview" }, { "kind": "documentation", "url": "https://github.com/stepfun-ai/Step-5-Preview" }, { "kind": "pricing", "url": "https://platform.stepfun.com/docs/zh/guides/pricing/details" } ], "news": [], "links": { "interactive": "products/step-5-preview--b937.html", "reading": "read/en/products/step-5-preview--b937.html", "markdown": "read/en/products/step-5-preview--b937.md", "json": "read/en/products/step-5-preview--b937.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b115", "language": "en", "name": "Grok", "originalName": "Grok", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型", "AI助手与客户端" ], "categories": [ "Foundation models", "AI assistants & clients" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://console.x.ai/", "summary": "Grok model APIs combine text generation, image understanding and tool calls to connect search and external data to applications." }, { "kind": "chat", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Web chat", "url": "https://grok.com/", "summary": "Grok’s web assistant offers voice conversations, uploaded-file analysis and image or video creation through Imagine." } ], "summary": "Grok model APIs combine text generation, image understanding and tool calls to connect search and external data to applications.", "introduction": "Grok provides model APIs and a ready-to-use chat product. Developers select models on the API platform for text generation, image understanding and tool calls; official documentation covers web search, X search and structured outputs. On grok.com, users converse by text or voice and upload PDFs, spreadsheets or images for extraction, analysis and summarization, with Imagine for image and video creation. Model capabilities and tool configuration on the API are separate from web plans; the platform’s media features are not all outputs of one model.", "capabilities": [], "company": { "name": "SpaceXAI LLC", "originalName": "SpaceXAI LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://console.x.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://console.x.ai/" }, { "kind": "product", "url": "https://grok.com/" }, { "kind": "documentation", "url": "https://docs.x.ai/overview" }, { "kind": "documentation", "url": "https://docs.x.ai/grok/overview" } ], "news": [ { "id": "grok-voice-20261014", "importance": "major", "product": "Grok", "title": "Grok Voice 3.0 API launches", "summary": "New speech-to-speech model available by API; announced pricing matches its predecessor.", "originalPublishedOn": "2026-10-14", "source": "SpaceXSI", "sourceUrl": "https://x.ai/news/grok-voice-3" } ], "links": { "interactive": "products/grok--b115.html", "reading": "read/en/products/grok--b115.html", "markdown": "read/en/products/grok--b115.md", "json": "read/en/products/grok--b115.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b328", "language": "en", "name": "Tencent Hunyuan", "originalName": "腾讯混元", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://console.cloud.tencent.com/tokenhub/", "summary": "Tencent’s general and multimodal model family, accessed through TokenHub for reasoning, coding and generation." } ], "summary": "Tencent’s general and multimodal model family, accessed through TokenHub for reasoning, coding and generation.", "introduction": "Tencent Hunyuan is Tencent’s model family for language, reasoning, coding and multiple media types. Developers select a model and obtain a key in Tencent Cloud TokenHub, then integrate it through an API. Inputs and outputs vary by model. Yuanbao is a separate assistant application; Hunyuan 3D has its own creation interface.", "capabilities": [], "company": { "name": "Tencent", "originalName": "Tencent", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://console.cloud.tencent.com/tokenhub/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://console.cloud.tencent.com/tokenhub/" }, { "kind": "documentation", "url": "https://cloud.tencent.com/document/product/1823/132252" } ], "news": [ { "id": "official-hy-memory-20261016", "importance": "major", "product": "腾讯混元", "title": "Hunyuan open-sources Hy-Memory 2.0", "summary": "Releases a model, memory framework and MemHub application for chat, work and coding memory.", "originalPublishedOn": "2026-10-16", "source": "腾讯混元", "sourceUrl": "https://memory.hunyuan.tencent.com/" } ], "links": { "interactive": "products/tencent-hunyuan--b328.html", "reading": "read/en/products/tencent-hunyuan--b328.html", "markdown": "read/en/products/tencent-hunyuan--b328.md", "json": "read/en/products/tencent-hunyuan--b328.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b612", "language": "en", "name": "GLM", "originalName": "GLM", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://bigmodel.cn/", "summary": "Z.AI’s foundation models for reasoning, code generation, tool calling and structured API output." } ], "summary": "Z.AI’s foundation models for reasoning, code generation, tool calling and structured API output.", "introduction": "GLM is Z.AI’s foundation-model family. Developers submit messages, code context and tool definitions through an API to receive text, structured data or tool requests, which the host application executes. The GLM-5 documentation covers thinking modes, streaming, context caching and JSON output for coding assistants, extraction systems and agents. Zhipu Qingyan is a separate application using model capabilities.", "capabilities": [], "company": { "name": "Z.AI / Zhipu", "originalName": "Z.AI / 智谱", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://bigmodel.cn/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://bigmodel.cn/" }, { "kind": "documentation", "url": "https://docs.bigmodel.cn/cn/guide/models/text/glm-5" } ], "news": [], "links": { "interactive": "products/glm--b612.html", "reading": "read/en/products/glm--b612.html", "markdown": "read/en/products/glm--b612.md", "json": "read/en/products/glm--b612.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b613", "language": "en", "name": "Muse", "originalName": "Muse", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://dev.meta.ai/", "summary": "Meta’s model family, including Muse Spark and Muse Wonder for multimodal understanding, coding and agent workflows." } ], "summary": "Meta’s model family, including Muse Spark and Muse Wonder for multimodal understanding, coding and agent workflows.", "introduction": "Muse is Meta’s model family. Its Model API lists Muse Spark and Muse Wonder for coding, reasoning and multi-step tool use, accepting text, images, video, audio and PDFs and returning text. Developers supply repository context, task instructions and tool definitions to build engineering assistants. API availability, reasoning settings and open-weight options vary by model.", "capabilities": [], "company": { "name": "Meta", "originalName": "Meta", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://dev.meta.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://dev.meta.ai/" }, { "kind": "documentation", "url": "https://research.meta.ai/blog/introducing-muse-spark-1-3" } ], "news": [], "links": { "interactive": "products/muse--b613.html", "reading": "read/en/products/muse--b613.html", "markdown": "read/en/products/muse--b613.md", "json": "read/en/products/muse--b613.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b614", "language": "en", "name": "Xiaomi MiMo", "originalName": "Xiaomi MiMo", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型" ], "categories": [ "Foundation models" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://platform.xiaomimimo.com/console/balance", "summary": "Xiaomi’s model family for multimodal understanding, reasoning, coding and speech, with API access." } ], "summary": "Xiaomi’s model family for multimodal understanding, reasoning, coding and speech, with API access.", "introduction": "Xiaomi MiMo is Xiaomi’s model family, available to developers through its API platform. General models process text and, where supported, images, video and audio for reasoning, coding and agents. Separate speech models transcribe recordings or synthesize spoken audio from text. Pro and Flash variants target different workloads; supported inputs depend on the selected model.", "capabilities": [], "company": { "name": "Xiaomi", "originalName": "Xiaomi", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://platform.xiaomimimo.com/console/balance", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://platform.xiaomimimo.com/console/balance" }, { "kind": "documentation", "url": "https://mimo.mi.com/docs/zh-CN" } ], "news": [], "links": { "interactive": "products/xiaomi-mimo--b614.html", "reading": "read/en/products/xiaomi-mimo--b614.html", "markdown": "read/en/products/xiaomi-mimo--b614.md", "json": "read/en/products/xiaomi-mimo--b614.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b615", "language": "en", "name": "LongCat", "originalName": "LongCat", "library": "tools", "category": "Foundation models", "categoryKey": "基座模型", "categoryKeys": [ "基座模型", "AI助手与客户端" ], "categories": [ "Foundation models", "AI assistants & clients" ], "entryPoints": [ { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://longcat.chat/platform/product", "summary": "Meituan’s model family for long-context code understanding, reasoning and tool use, with hosted access and open weights." }, { "kind": "chat", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Web chat", "url": "https://longcat.chat/", "summary": "LongCat’s official web app for direct conversations and online reasoning." } ], "summary": "Meituan’s model family for long-context code understanding, reasoning and tool use, with hosted access and open weights.", "introduction": "LongCat is Meituan’s model family. LongCat-2.0 focuses on long-context code understanding, generation and agent execution: developers provide project code and requirements, then connect tools for refactoring, application development or information processing. The family offers hosted access alongside released weights and inference materials. Self-hosting requires suitable hardware and an inference environment; the website’s workspace is a separate interface.", "capabilities": [], "company": { "name": "Meituan", "originalName": "Meituan", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://longcat.chat/platform/product", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://longcat.chat/platform/product" }, { "kind": "product", "url": "https://longcat.chat/" }, { "kind": "documentation", "url": "https://www.meituan.com/news/NN260706216009547" } ], "news": [], "links": { "interactive": "products/longcat--b615.html", "reading": "read/en/products/longcat--b615.html", "markdown": "read/en/products/longcat--b615.md", "json": "read/en/products/longcat--b615.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "official-hy-memory-20261016", "relation": "company", "affectedProducts": [ { "id": "b328", "name": "Tencent Hunyuan" } ], "importance": "major", "product": "腾讯混元", "title": "Hunyuan open-sources Hy-Memory 2.0", "summary": "Releases a model, memory framework and MemHub application for chat, work and coding memory.", "originalPublishedOn": "2026-10-16", "source": "腾讯混元", "sourceUrl": "https://memory.hunyuan.tencent.com/" } ], "usageGuide": { "facts": [ { "key": "suitable", "label": "Useful for", "text": "Useful for Chinese research and Tencent-ecosystem sources, followed by reports or drafts. The mobile listing includes Official Accounts, Channels, document reading and recording summaries.", "sourceUrls": [ "https://apps.apple.com/cn/app/id6480446430", "https://cloud.tencent.com/product/wsa" ] }, { "key": "workflow", "label": "Suggested workflow", "text": "Define the question and time range, research with web search, then organize by topic. Open original articles or policies to verify dates and applicability.", "sourceUrls": [ "https://apps.apple.com/cn/app/id6480446430", "https://cloud.tencent.com/product/wsa" ] }, { "key": "access", "label": "Access & setup", "text": "This entry opens the web app. Choose mobile for recording and camera workflows; those features above follow the official mobile listing, with access varying by device and version.", "sourceUrls": [ "https://apps.apple.com/cn/app/id6480446430" ] } ] }, "id": "b16", "language": "en", "name": "Tencent Yuanbao", "originalName": "腾讯元宝", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [ { "kind": "chat", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Web chat", "url": "https://yuanbao.tencent.com/", "summary": "Tencent’s AI assistant for direct web conversations, reasoning and content creation." } ], "summary": "Tencent’s AI assistant for direct web conversations, reasoning and content creation.", "introduction": "Tencent Yuanbao connects online research, document reading and drafting. Search draws on Tencent sources; the official mobile listing also covers Official Accounts and Channels, close document reading, recording summaries, camera questions and image edits. Use it to gather sources and organize a report or outline. This entry opens the web app; mobile features and the separate developer search API have their own access paths.", "capabilities": [], "company": { "name": "Tencent", "originalName": "Tencent", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://yuanbao.tencent.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://yuanbao.tencent.com/" } ], "news": [], "links": { "interactive": "products/tencent-yuanbao--b16.html", "reading": "read/en/products/tencent-yuanbao--b16.html", "markdown": "read/en/products/tencent-yuanbao--b16.md", "json": "read/en/products/tencent-yuanbao--b16.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b619", "language": "en", "name": "WorkBuddy", "originalName": "WorkBuddy", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公", "智能体应用" ], "categories": [ "AI office & writing", "AI agent applications" ], "entryPoints": [ { "kind": "website", "categoryKey": "AI办公", "category": "AI office & writing", "label": "Visit website", "url": "https://www.workbuddy.cn/", "summary": "Tencent’s AI office workspace for planning tasks, using tools and delivering documents, spreadsheets, slides and analysis." } ], "summary": "Tencent’s AI office workspace for planning tasks, using tools and delivering documents, spreadsheets, slides and analysis.", "introduction": "WorkBuddy is Tencent’s AI workspace for office tasks. Given a goal and materials, it plans steps and uses tools for batch file processing, analysis, research and document, spreadsheet or slide creation. The desktop client can read and write authorized local folders; cloud assistants and team projects offer other execution modes. Experts, Skills and connectors extend tasks and tools, with deliverables available for review and revision.", "capabilities": [], "company": { "name": "Tencent", "originalName": "Tencent", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.workbuddy.cn/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.workbuddy.cn/" }, { "kind": "documentation", "url": "https://www.workbuddy.cn/docs/workbuddy/From-Beginner-to-Expert-Guide/Product-Guide" } ], "news": [], "links": { "interactive": "products/workbuddy--b619.html", "reading": "read/en/products/workbuddy--b619.html", "markdown": "read/en/products/workbuddy--b619.md", "json": "read/en/products/workbuddy--b619.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b509", "language": "en", "name": "QwenWork", "originalName": "千问办公", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公", "智能体应用" ], "categories": [ "AI office & writing", "AI agent applications" ], "entryPoints": [ { "kind": "website", "categoryKey": "AI办公", "category": "AI office & writing", "label": "Visit website", "url": "https://qwenwork.cn/", "summary": "Break down office tasks into editable documents, sheets and slides." } ], "summary": "Break down office tasks into editable documents, sheets and slides.", "introduction": "QwenWork starts from a work objective and breaks it into tasks that can progress in parallel. Deliverables include editable documents, spreadsheets, presentations and web pages, with data analysis for organizing evidence and findings. Web and desktop access combine templates, a skills marketplace and enterprise collaboration across briefing, execution and delivery.", "capabilities": [], "company": { "name": "DingTalk (China) Information Technology", "originalName": "钉钉（中国）信息技术有限公司", "entities": [ { "name": "DingTalk Technology", "originalName": "钉钉科技有限公司", "role": "privacy-policy-entity", "roleLabel": "Entity named in the privacy policy" } ], "note": "Entity named in the privacy policy: DingTalk Technology", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://qwenwork.cn/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://qwenwork.cn/" }, { "kind": "documentation", "url": "https://qwenwork.cn/docs" }, { "kind": "documentation", "url": "https://docs.qwenwork.cn/release-notes/desktop" }, { "kind": "pricing", "url": "https://qwenwork.cn/pricing" } ], "news": [], "links": { "interactive": "products/product--b509.html", "reading": "read/en/products/product--b509.html", "markdown": "read/en/products/product--b509.md", "json": "read/en/products/product--b509.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b620", "language": "en", "name": "Doubao Work", "originalName": "豆包工作", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公", "智能体应用" ], "categories": [ "AI office & writing", "AI agent applications" ], "entryPoints": [ { "kind": "website", "categoryKey": "AI办公", "category": "AI office & writing", "label": "Visit website", "url": "https://www.doubao.com/work", "summary": "Doubao’s office agent for research, data processing and tool execution, delivering documents, spreadsheets and presentations." } ], "summary": "Doubao’s office agent for research, data processing and tool execution, delivering documents, spreadsheets and presentations.", "introduction": "Doubao Work is an office-agent product for individuals, teams and enterprises. Users provide a goal, materials and deliverable requirements; it plans steps, retrieves and reads information, invokes tools and produces documents, spreadsheets, slides or web pages. Official entry points include a PC client, Doubao’s work entry and Feishu. 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Workspace permissions, external-app authorization and API access are managed separately.", "sourceUrls": [ "https://learn.chatgpt.com/docs/projects", "https://learn.chatgpt.com/docs/enterprise/roles-and-workspace-permissions" ] } ] }, "id": "b0", "language": "en", "name": "ChatGPT", "originalName": "ChatGPT", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [], "summary": "OpenAI’s AI workspace for reading files, web research, data analysis and image creation.", "introduction": "ChatGPT is OpenAI’s AI assistant for individuals and teams, combining uploaded material, web research and code-based calculations in a conversation. It can extract information and compare documents, analyze Excel or CSV data with charts, and use deep research to assemble a report with citations. 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Its developer describes mobile features for source summaries, data analysis, documents, slides, voice, image editing and Seedance video creation. Start with your material and desired output, then refine the structure or result. 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It reads project structure, coordinates multi-file changes and checks outcomes through terminal or browser tools. Plan and Act separate discussion from execution; checkpoints and diffs support review and rollback. Project rules, plugins and MCP extend context and tools. Model connections and approval behavior are user-configured.", "capabilities": [], "company": { "name": "Cline Bot Inc.", "originalName": "Cline Bot Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://cline.bot/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://cline.bot/" }, { "kind": "documentation", "url": "https://docs.cline.bot/cline-overview" } ], "news": [], "links": { "interactive": "products/cline--b653.html", "reading": "read/en/products/cline--b653.html", "markdown": "read/en/products/cline--b653.md", "json": "read/en/products/cline--b653.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "cost", "label": "Billing model", "text": "Model costs depend on the connected provider. 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Refine requirements, design and tasks before agents implement and check changes in project context. Steering documents provide persistent guidance, Hooks trigger workflows on file or task events, and MCP connects tools. 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Anthropic also lowers Sonnet 5.5 cache-read prices and introduces monthly API credits for Max and Team subscribers.", "originalPublishedOn": "2026-10-07", "source": "Anthropic", "sourceUrl": "https://www.anthropic.com/claude-haiku-5-5" }, { "id": "claude-sonnet55-20260928", "relation": "company", "affectedProducts": [ { "id": "b1", "name": "Claude" } ], "importance": "major", "product": "Claude", "title": "Claude Sonnet 5.5 launches with a thinking-setting migration", "summary": "Sonnet 5.5 targets everyday coding and documents. API users with thinking disabled must migrate to between_tools; reported cost reductions reflect vendor testing.", "originalPublishedOn": "2026-09-28", "source": "Anthropic", "sourceUrl": "https://www.anthropic.com/claude-sonnet-5-5" }, { "id": "claude-opus55-20260922", "relation": "company", "affectedProducts": [ { "id": "b1", "name": "Claude" } ], "importance": "major", "product": "Claude", "title": "Claude Opus 5.5 launches with lower API pricing", "summary": "Opus 5.5 opens API access for complex coding and knowledge work. Announced input/output pricing is $4/$20 per million tokens; Fast mode costs extra.", "originalPublishedOn": "2026-09-22", "source": "Anthropic", "sourceUrl": "https://www.anthropic.com/claude-opus-5-5" } ], "id": "b659", "language": "en", "name": "Claude Code", "originalName": "Claude Code", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Read project code, coordinate file edits and commands, and extend workflows with instructions, skills and MCP.", "introduction": "Claude Code works on development requests in repository context: it reads relevant files, edits across files, runs project commands and iterates on results. Terminal, IDE, desktop and browser surfaces connect to workflows through project instructions, skills, hooks and MCP. Code review and diffs help inspect changes; command permissions, model access and available features depend on configuration and surface.", "capabilities": [], "company": { "name": "Anthropic, PBC", "originalName": "Anthropic, PBC", "entities": [ { "name": "Anthropic Ireland, Limited", "originalName": "Anthropic Ireland, Limited", "role": "service-provider-eea-ch-uk", "roleLabel": "Service provider (EEA, Switzerland and UK)" } ], "note": "Service provider (EEA, Switzerland and UK): Anthropic Ireland, Limited", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://code.claude.com/docs/en/overview", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://code.claude.com/docs/en/overview" } ], "news": [], "links": { "interactive": "products/claude-code--b659.html", "reading": "read/en/products/claude-code--b659.html", "markdown": "read/en/products/claude-code--b659.md", "json": "read/en/products/claude-code--b659.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "chatgpt-stackoverflow", "relation": "company", "affectedProducts": [ { "id": "b0", "name": "ChatGPT" } ], "importance": "minor", "product": "ChatGPT", "title": "Stack Overflow reports tripled signups after launching its ChatGPT plugin", "summary": "The plugin lets users discover and configure Stack Overflow for Agents inside ChatGPT, reducing MCP setup steps. The team reports threefold signups and up to tenfold agent creation after launch; two engineers built the product with Codex in a few weeks.", "originalPublishedOn": "2026-10-16", "source": "OpenAI", "sourceUrl": "https://openai.com/index/stack-overflow-chatgpt-plugin" }, { "id": "openai-rosalind", "relation": "company", "affectedProducts": [], "importance": "major", "product": "OpenAI", "title": "OpenAI introduces the Rosalind Academic Plan", "summary": "The Rosalind Academic Plan offers eligible US university labs up to 30 free Business Standard seats for up to 12 months. Access to GPT-Rosalind and life-science tools requires approval; API access is not included.", "originalPublishedOn": "2026-10-15", "source": "OpenAI", "sourceUrl": "https://openai.com/index/introducing-the-rosalind-academic-plan" }, { "id": "chatgpt-oracle", "relation": "company", "affectedProducts": [ { "id": "b0", "name": "ChatGPT" } ], "importance": "minor", "product": "ChatGPT", "title": "Oracle’s ChatGPT and Codex workflow case study", "summary": "Oracle built a ChatGPT Work tool to research comparable roles, compensation and talent pools from a job description. Its recruiting lead reports preparation falling from 2–4 days to 15–20 minutes. Another team uses Codex to turn business questions into SQL queries and reports.", "originalPublishedOn": "2026-10-08", "source": "OpenAI", "sourceUrl": "https://openai.com/index/oracle" } ], "id": "b660", "language": "en", "name": "Codex", "originalName": "Codex", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Plan, edit and review code in repository context, using development tools to check implementation results.", "introduction": "Codex is OpenAI’s coding agent for implementation, debugging and review. The CLI explores local projects, plans changes, edits files and invokes installed development tools. IDE integration uses editor context, presents reviewable diffs and supports cloud task delegation. Project instructions, skills and plugins supply guidance and tools; noninteractive execution supports automation. Permissions and task environments determine accessible files and commands.", "capabilities": [], "company": { "name": "OpenAI", "originalName": "OpenAI", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://learn.chatgpt.com/docs/codex/cli", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://learn.chatgpt.com/docs/codex/cli" }, { "kind": "documentation", "url": "https://learn.chatgpt.com/docs/codex/ide" } ], "news": [], "links": { "interactive": "products/codex--b660.html", "reading": "read/en/products/codex--b660.html", "markdown": "read/en/products/codex--b660.md", "json": "read/en/products/codex--b660.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b661", "language": "en", "source_locale": "en", "source_market": "global", "source_edition": "same-product", "name": "Qwen Code", "originalName": "Qwen Code", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "An open-source coding agent with project memory, skills, subagents and MCP, supporting provider APIs and local inference.", "introduction": "Qwen Code is an open-source development agent that works on project code through terminal, editor and other clients. Memory, skills, subagents and MCP organize context and tool use. Connections support multiple provider protocols and configurable local services such as Ollama or vLLM. It is a development tool distinct from Qwen Chat and the Qwen model family; model capabilities depend on the connected service.", "capabilities": [], "company": { "name": "Qwen Team", "originalName": "Qwen Team", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://qwenlm.github.io/qwen-code-docs/en/users/overview/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://qwenlm.github.io/qwen-code-docs/en/users/overview/" } ], "news": [], "links": { "interactive": "products/qwen-code--b661.html", "reading": "read/en/products/qwen-code--b661.html", "markdown": "read/en/products/qwen-code--b661.md", "json": "read/en/products/qwen-code--b661.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b662", "language": "en", "name": "OpenCode", "originalName": "OpenCode", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "An open-source coding agent for terminal, desktop or IDE, with configurable model services, project rules and tools.", "introduction": "OpenCode reads project code, discusses implementation and makes changes through terminal, desktop and IDE interfaces. It connects to model providers or local models and extends projects with rules, skills, MCP and custom tools. Sessions and permissions organize work and tool access. The website also offers model-access services; their costs and conditions should be distinguished from those of the open-source client.", "capabilities": [], "company": { "name": "ANOMALY INNOVATIONS, INC.", "originalName": "ANOMALY INNOVATIONS, INC.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://opencode.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://opencode.ai/" }, { "kind": "documentation", "url": "https://opencode.ai/docs/" } ], "news": [], "links": { "interactive": "products/opencode--b662.html", "reading": "read/en/products/opencode--b662.html", "markdown": "read/en/products/opencode--b662.md", "json": "read/en/products/opencode--b662.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b664", "language": "en", "name": "Amp", "originalName": "Amp", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Organize development in threads with multiple models and separate Orbs environments for continued code work.", "introduction": "Amp organizes development requests into threads with multiple models, tools and Git workflows. Orbs provide per-thread machines containing code, tools and plugins, allowing work to continue after the client closes. Apps and terminal interfaces submit tasks and follow results; skills, MCP and project instructions extend capabilities. Remote environments, model access and resource charges depend on the selected plan.", "capabilities": [], "company": { "name": "Amp", "originalName": "Amp", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://ampcode.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://ampcode.com/" }, { "kind": "documentation", "url": "https://ampcode.com/docs" } ], "news": [], "links": { "interactive": "products/amp--b664.html", "reading": "read/en/products/amp--b664.html", "markdown": "read/en/products/amp--b664.md", "json": "read/en/products/amp--b664.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b665", "language": "en", "name": "Google Antigravity", "originalName": "Google Antigravity", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Google’s agentic development platform offers editor and CLI surfaces for code edits, tools and task orchestration through natural language.", "introduction": "Google Antigravity organizes development around agents, with app, CLI, IDE and SDK surfaces. The app manages projects and agents; the IDE connects editing, tool execution and task artifacts, while browser-based verification helps inspect interfaces. Users can choose terminal or graphical workflows. The SDK provides a programmatic entry point for integrating agent workflows. Antigravity CLI adds a terminal surface for natural-language edits and orchestration with plugins, MCP, skills and hooks; availability varies by surface and access plan.", "capabilities": [], "company": { "name": "Google LLC", "originalName": "Google LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://antigravity.google/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://antigravity.google/" }, { "kind": "documentation", "url": "https://antigravity.google/product/antigravity-cli" } ], "news": [ { "id": "antigravity-cli-transition-20260519", "importance": "major", "product": "Google Antigravity", "title": "Google launches Antigravity CLI and outlines consumer Gemini CLI transition", "summary": "Antigravity CLI shares the desktop agent backend and supports background agents, skills, hooks and plugins. The announcement ends original free and Google AI Pro/Ultra Gemini CLI access on June 18 while preserving separate enterprise and paid API paths; initial features are not one-to-one equivalents.", "originalPublishedOn": "2026-05-19", "source": "Google Developers Blog", "sourceUrl": "https://developers.googleblog.com/an-important-update-transitioning-gemini-cli-to-antigravity-cli/" } ], "links": { "interactive": "products/google-antigravity--b665.html", "reading": "read/en/products/google-antigravity--b665.html", "markdown": "read/en/products/google-antigravity--b665.md", "json": "read/en/products/google-antigravity--b665.json" } }, { "schemaVersion": "1.0", "updates": [ { "id": "official-coderabbit-grok-20261022", "importance": "changelog", "product": "CodeRabbit", "title": "CodeRabbit joins Grok Build’s marketplace", "summary": "Connects review, security investigation and change governance to agent workflows; it does not imply automatic merge approval.", "originalPublishedOn": "2026-10-22", "source": "CodeRabbit", "sourceUrl": "https://www.coderabbit.ai/blog/coderabbit-spacex-super-intelligence-partner-network" }, { "id": "official-coderabbit-cursor-20261013", "importance": "changelog", "product": "CodeRabbit", "title": "CodeRabbit adds independent review for Cursor Origin", "summary": "Reviews pull requests in native Origin repositories as a marketplace partner; teams retain the final decision.", "originalPublishedOn": "2026-10-13", "source": "CodeRabbit", "sourceUrl": "https://www.coderabbit.ai/blog/coderabbit-independent-validation-cursor-origin" } ], "companyNews": [], "id": "b666", "language": "en", "name": "CodeRabbit", "originalName": "CodeRabbit", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Review pull requests in repository context and receive pre-commit feedback and suggestions through IDE and CLI.", "introduction": "CodeRabbit reviews pull requests with change summaries, walkthroughs and discussable findings. Project guidance, linked issues and repository context inform reviews; IDE checks and CLI pre-commit reviews support earlier feedback. Planning turns requirements into repository-grounded implementation tasks, and teams can discuss findings or act on suggestions. Automated feedback complements human review and does not replace project tests.", "capabilities": [], "company": { "name": "CodeRabbit Inc.", "originalName": "CodeRabbit Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.coderabbit.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.coderabbit.ai/" }, { "kind": "documentation", "url": "https://docs.coderabbit.ai/" } ], "news": [], "links": { "interactive": "products/coderabbit--b666.html", "reading": "read/en/products/coderabbit--b666.html", "markdown": "read/en/products/coderabbit--b666.md", "json": "read/en/products/coderabbit--b666.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b6", "language": "en", "name": "Cursor", "originalName": "Cursor", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "An AI development environment that understands repositories, edits files and investigates bugs.", "introduction": "Cursor embeds coding agents into a development environment to understand repositories, plan features, edit code and investigate bugs. Developers provide requirements, files and rules; agents use project context to work, with changes available for review. Editor, CLI and cloud-agent interfaces support different ways of carrying out ongoing work on a real codebase.", "capabilities": [ { "title": "Understand and change code", "description": "Trace implementation within an existing repository, edit files for a task and review the resulting changes." }, { "title": "Rules and tool context", "description": "Supply project rules, skills and MCP tools to give agents development constraints and external capabilities." }, { "title": "Cloud canvases", "description": "Cloud agents create shareable interactive canvases; the Environments API is in beta." } ], "company": { "name": "Anysphere, Inc.", "originalName": "Anysphere, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://cursor.com", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://cursor.com" }, { "kind": "documentation", "url": "https://cursor.com/docs" }, { "kind": "documentation", "url": "https://cursor.com/docs/cloud-agent" }, { "kind": "pricing", "url": "https://cursor.com/pricing" } ], "news": [ { "id": "cursor-cloud-canvases-20261016", "importance": "minor", "product": "Cursor", "title": "Cursor adds cloud-agent canvases and a beta Environments API", "summary": "Cloud agents can build interactive canvases during tasks and share the results by link. The Environments API enters beta for programmatic creation and management of agent environments, while the update also increases repository capacity per environment.", "originalPublishedOn": "2026-10-16", "source": "Cursor", "sourceUrl": "https://cursor.com/changelog/cloud-agent-canvases-and-environments" }, { "id": "cursor-local-remote-control-20261006", "importance": "minor", "product": "Cursor", "title": "Cursor iOS adds remote access to local agents", "summary": "The iOS app lets users view and message agents running on their computers, with pairing approved in the desktop app. Tasks remain on the original computer, which must stay powered on and online. Enterprise organizations require administrator enablement.", "originalPublishedOn": "2026-10-06", "source": "Cursor", "sourceUrl": "https://cursor.com/changelog/remote-control-local-agents" }, { "id": "cursor-security-rollouts-20260923", "importance": "minor", "product": "Cursor", "title": "Cursor adds deployment monitoring and security review", "summary": "Teams and Enterprise gain deployment monitoring and pull-request vulnerability reviews. Rollouts can propose reversions or fixes, but does not merge or roll back automatically.", "originalPublishedOn": "2026-09-23", "source": "Cursor", "sourceUrl": "https://cursor.com/changelog/rollouts-and-security-reviewer" }, { "id": "cursor-projects-beta-20260910", "importance": "minor", "product": "Cursor", "title": "Cursor Projects enters beta for ongoing work", "summary": "Projects coordinates agents in the cloud, retaining shared context and supporting scheduled or event-triggered work. The September 10 announcement describes a gradual beta rollout.", "originalPublishedOn": "2026-09-10", "source": "Cursor", "sourceUrl": "https://cursor.com/changelog/projects" } ], "links": { "interactive": "products/cursor--b6.html", "reading": "read/en/products/cursor--b6.html", "markdown": "read/en/products/cursor--b6.md", "json": "read/en/products/cursor--b6.json" } }, { "schemaVersion": "1.0", "updates": [ { "id": "official-github-metrics-20261023", "importance": "changelog", "product": "GitHub Copilot", "title": "Copilot usage API adds client-level totals", "summary": "Reports distinguish requests, sessions and token usage from clients including OpenCode.", "originalPublishedOn": "2026-10-23", "source": "GitHub", "sourceUrl": "https://github.blog/changelog/2026-10-23-usage-metrics-api-adds-usage-from-tools-like-opencode/" } ], "companyNews": [], "id": "b7", "language": "en", "name": "GitHub Copilot", "originalName": "GitHub Copilot", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "AI coding and review assistance across editors, the terminal and GitHub workflows.", "introduction": "GitHub Copilot brings code generation, task implementation and review into software-development workflows. Developers ask questions or request changes in editors and terminals, and work around issues and pull requests on GitHub. It fits individuals and teams moving between writing code, collaborating on tasks and reviewing changes.", "capabilities": [ { "title": "Work inside development tools", "description": "Use AI assistance in editors, terminals or GitHub as part of the existing development workflow." }, { "title": "Tasks through review", "description": "Carry task context from issues through implementation changes and pull-request review." } ], "company": { "name": "GitHub, Inc.", "originalName": "GitHub, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://github.com/features/copilot", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://github.com/features/copilot" }, { "kind": "documentation", "url": "https://docs.github.com" }, { "kind": "documentation", "url": "https://docs.github.com/en/copilot/concepts/agents/enterprise-management" }, { "kind": "pricing", "url": "https://github.com/pricing" } ], "news": [ { "id": "copilot-default-20261022", "importance": "minor", "product": "GitHub Copilot", "title": "Copilot global default rolls out", "summary": "Business and Enterprise rollout preserves explicit choices; previews remain opt-in.", "originalPublishedOn": "2026-10-22", "source": "GitHub", "sourceUrl": "https://github.blog/changelog/2026-10-22-global-default-for-copilot-features-generally-available/" }, { "id": "copilot-weekly-20261009", "importance": "minor", "product": "GitHub Copilot", "title": "Copilot local sandboxing launches", "summary": "CLI, app and supported VS Code sessions can limit file, network and credential access.", "originalPublishedOn": "2026-10-09", "source": "GitHub", "sourceUrl": "https://github.blog/changelog/2026-10-09-github-copilot-weekly-releases-october-5/" } ], "links": { "interactive": "products/github-copilot--b7.html", "reading": "read/en/products/github-copilot--b7.html", "markdown": "read/en/products/github-copilot--b7.md", "json": "read/en/products/github-copilot--b7.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b719", "language": "en", "name": "Granola", "originalName": "Granola", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Combine rough notes with meeting context, prepare briefs and search commitments or actions across conversations.", "introduction": "Granola transcribes in the background and combines your own notes with meeting context without a participant bot. Calendar and past conversations inform briefs; chat finds decisions, commitments and tasks, and integrations expose notes to other AI tools. Online, in-person and mobile surfaces differ. Background capture does not imply all processing is local.", "capabilities": [], "company": { "name": "Granola, Inc.", "originalName": "Granola, Inc.", "entities": [ { "name": "Granola Labs Ltd.", "originalName": "Granola Labs Ltd.", "role": "service-provider", "roleLabel": "Service provider" } ], "note": "Service provider: Granola Labs Ltd.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.granola.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.granola.ai/" } ], "news": [ { "id": "official-granola-snapshots-20261006", "importance": "minor", "product": "Granola", "title": "Granola introduces meeting Snapshots", "summary": "Adds relevant shared slides, charts and design screenshots to meeting notes alongside the conversation.", "originalPublishedOn": "2026-10-06", "source": "Granola", "sourceUrl": "https://www.granola.ai/blog/some-ideas-take-a-few-fridays" }, { "id": "official-granola-watch-20260728", "importance": "minor", "product": "Granola", "title": "Granola launches on Apple Watch", "summary": "Starts and stops meeting notes from the watch, then syncs them to phone and computer.", "originalPublishedOn": "2026-07-28", "source": "Granola", "sourceUrl": "https://www.granola.ai/blog/granola-for-apple-watch" } ], "links": { "interactive": "products/granola--b719.html", "reading": "read/en/products/granola--b719.html", "markdown": "read/en/products/granola--b719.md", "json": "read/en/products/granola--b719.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b720", "language": "en", "name": "Fathom", "originalName": "Fathom", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Create transcripts, summaries and follow-ups, search across conversations with Ask Fathom and sync team tools or CRM.", "introduction": "Fathom turns customer, internal and project conversations into searchable records, summaries, decisions and follow-ups. Ask Fathom queries meetings and creates team-specific summaries; integrations send results to Slack, CRM or task tools. Sales scorecards support review and coaching. Team features and integration permissions depend on configuration and plan.", "capabilities": [], "company": { "name": "Fathom Video Inc.", "originalName": "Fathom Video Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.fathom.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.fathom.ai/" } ], "news": [], "links": { "interactive": "products/fathom--b720.html", "reading": "read/en/products/fathom--b720.html", "markdown": "read/en/products/fathom--b720.md", "json": "read/en/products/fathom--b720.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b721", "language": "en", "name": "tl;dv", "originalName": "tl;dv", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Create custom summaries, moments and follow-up drafts, aggregate themes across meetings and sync CRM or team tools.", "introduction": "tl;dv records meetings and creates AI notes for services including Zoom, Google Meet and Teams. Custom formats and topics organize summaries, while cross-meeting reports aggregate requests, feedback and actions. Workflows update CRM and draft emails or tasks for review. It suits teams finding patterns across conversations rather than only archiving one transcript.", "capabilities": [], "company": { "name": "Tldx Solutions GmbH", "originalName": "Tldx Solutions GmbH", "country": { "codes": [ "DE" ], "names": [ "Germany" ], "display": "Germany", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://tldv.io/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://tldv.io/" } ], "news": [], "links": { "interactive": "products/tldv--b721.html", "reading": "read/en/products/tldv--b721.html", "markdown": "read/en/products/tldv--b721.md", "json": "read/en/products/tldv--b721.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b722", "language": "en", "name": "Read AI", "originalName": "Read AI", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Combine meetings, calendars, email and CRM for briefs and recaps, with cited answers tracking decisions and owners.", "introduction": "Read AI connects preparation, meeting capture and follow-through. Authorized email, calendars, prior conversations and CRM inform contextual recaps and actions routed to team tools. Ask Read retrieves decisions, owners and unresolved work with citations. Accessible information and who can query results depend on connected sources and sharing permissions.", "capabilities": [], "company": { "name": "Read AI, Inc.", "originalName": "Read AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.read.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.read.ai/" } ], "news": [], "links": { "interactive": "products/read-ai--b722.html", "reading": "read/en/products/read-ai--b722.html", "markdown": "read/en/products/read-ai--b722.md", "json": "read/en/products/read-ai--b722.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b723", "language": "en", "name": "Tactiq", "originalName": "Tactiq", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Transcribe through a browser extension, prompt summaries and turn discussions into Linear issues, CRM updates or Slack messages.", "introduction": "Tactiq captures live transcripts in supported web meetings without an extra participant bot. Ask questions or summarize during meetings, then extract details with custom prompts. Workflows structure transcripts into Linear issues, HubSpot updates or Slack content, supporting browser-based teams turning discussions into project materials.", "capabilities": [], "company": { "name": "Tactiq", "originalName": "Tactiq", "country": { "codes": [ "AU" ], "names": [ "Australia" ], "display": "Australia", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://tactiq.io/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://tactiq.io/" } ], "news": [], "links": { "interactive": "products/tactiq--b723.html", "reading": "read/en/products/tactiq--b723.html", "markdown": "read/en/products/tactiq--b723.md", "json": "read/en/products/tactiq--b723.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b724", "language": "en", "name": "Bluedot", "originalName": "Bluedot", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Capture online or in-person conversations, customize notes, query multiple meetings and sync CRM or knowledge tools.", "introduction": "Bluedot captures meetings and creates transcripts and purpose-specific notes, such as Q&A, sales or customer check-ins. Chat searches multiple meetings, sharing controls support teams and integrations update CRM or Notion. It emphasizes capture without a participant bot; recording surfaces, platform support and automation still depend on clients and permissions.", "capabilities": [], "company": { "name": "Bluedot", "originalName": "Bluedot", "country": { "codes": [ "GB" ], "names": [ "United Kingdom" ], "display": "United Kingdom", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.bluedothq.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.bluedothq.com/" } ], "news": [], "links": { "interactive": "products/bluedot--b724.html", "reading": "read/en/products/bluedot--b724.html", "markdown": "read/en/products/bluedot--b724.md", "json": "read/en/products/bluedot--b724.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b725", "language": "en", "name": "Krisp", "originalName": "Krisp", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Suppress call noise, echo and cross-talk, alongside recording, transcripts, notes and post-meeting task sync.", "introduction": "Krisp combines live voice processing with follow-up: filter noise, echo and cross-talk, generate recordings and summaries, then extract actions or sync CRM. It suits users needing clearer calls and usable records. Separate contact-center products exist, so enterprise functions should not be assumed to be included in personal meeting plans.", "capabilities": [], "company": { "name": "Krisp Technologies, Inc.", "originalName": "Krisp Technologies, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://krisp.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://krisp.ai/" } ], "news": [], "links": { "interactive": "products/krisp--b725.html", "reading": "read/en/products/krisp--b725.html", "markdown": "read/en/products/krisp--b725.md", "json": "read/en/products/krisp--b725.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b726", "language": "en", "name": "MeetGeek", "originalName": "MeetGeek", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Turn live meetings or uploads into summaries, highlights and actions, connecting templates, search and automation.", "introduction": "MeetGeek generates transcripts, summaries, highlights and actions from meetings, client capture or uploaded media. A meeting library and AI Chat retrieve discussions, while templates and workflows distribute results to team or CRM tools. Admins control recording, sharing, retention and access. Capture rules can use meeting titles, participants or calendars.", "capabilities": [], "company": { "name": "AIVISION PRODUCTS SRL", "originalName": "AIVISION PRODUCTS SRL", "entities": [ { "name": "MeetGeek US Infra, Inc.", "originalName": "MeetGeek US Infra, Inc.", "role": "us-instance-provider", "roleLabel": "US-instance service provider" } ], "note": "US-instance service provider: MeetGeek US Infra, Inc.", "country": { "codes": [ "RO", "US" ], "names": [ "Romania", "United States" ], "display": "Romania / United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://meetgeek.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://meetgeek.ai/" } ], "news": [], "links": { "interactive": "products/meetgeek--b726.html", "reading": "read/en/products/meetgeek--b726.html", "markdown": "read/en/products/meetgeek--b726.md", "json": "read/en/products/meetgeek--b726.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b727", "language": "en", "name": "Avoma", "originalName": "Avoma", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Extract speaker transcripts, notes and CRM data from meetings, with call scoring and coaching for sales teams.", "introduction": "Avoma combines meeting capture and conversation analysis: record, identify speakers, organize notes and update CRM. Sales teams can score calls against playbooks and use coaching, live prompts and deal signals. Note-taking, scheduling, coaching and forecasting are distinct modules, allowing teams to choose the scope they need.", "capabilities": [], "company": { "name": "Avoma, Inc.", "originalName": "Avoma, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.avoma.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.avoma.com/" } ], "news": [], "links": { "interactive": "products/avoma--b727.html", "reading": "read/en/products/avoma--b727.html", "markdown": "read/en/products/avoma--b727.md", "json": "read/en/products/avoma--b727.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b728", "language": "en", "name": "Sembly AI", "originalName": "Sembly AI", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公", "智能体应用" ], "categories": [ "AI office & writing", "AI agent applications" ], "entryPoints": [ { "kind": "website", "categoryKey": "AI办公", "category": "AI office & writing", "label": "Visit website", "url": "https://www.sembly.ai/", "summary": "Generate proposals, statements of work and reports from client meetings and documents, steer structure and export editable files." } ], "summary": "Generate proposals, statements of work and reports from client meetings and documents, steer structure and export editable files.", "introduction": "Sembly AI organizes client history, meetings, contracts and brand requirements as reusable context for professional-services teams. Specify a deliverable, assemble information from authorized sources, steer structure and emphasis during generation, then export Word or PowerPoint. It turns accumulated conversations into proposals, plans and reports for team review and approval.", "capabilities": [], "company": { "name": "Sembly AI, Inc.", "originalName": "Sembly AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.sembly.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.sembly.ai/" } ], "news": [], "links": { "interactive": "products/sembly-ai--b728.html", "reading": "read/en/products/sembly-ai--b728.html", "markdown": "read/en/products/sembly-ai--b728.md", "json": "read/en/products/sembly-ai--b728.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b729", "language": "en", "name": "Fellow", "originalName": "Fellow", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Record, transcribe and summarize meetings, extract actions and decisions, and manage team capture, access and retention policies.", "introduction": "Fellow captures discussions, decisions and actions and connects results to project or CRM tools. Organizations control recording eligibility, access, deletion, pause/resume and sensitive-content review. It emphasizes team governance, with retention modes and admin interfaces depending on plan and setup.", "capabilities": [], "company": { "name": "Fellow", "originalName": "Fellow", "country": { "codes": [ "CA" ], "names": [ "Canada" ], "display": "Canada", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://fellow.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://fellow.ai/" } ], "news": [], "links": { "interactive": "products/fellow--b729.html", "reading": "read/en/products/fellow--b729.html", "markdown": "read/en/products/fellow--b729.md", "json": "read/en/products/fellow--b729.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b730", "language": "en", "name": "Circleback", "originalName": "Circleback", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Turn conversations into notes, owners and actions, query across meetings and reuse records through automation, API or MCP.", "introduction": "Circleback writes meeting notes, captures and assigns actions and answers questions from conversations. Calendar and email connections add context; automations send insights to other apps, while API, MCP and CLI expose records to workflows. Review and follow-through use the same captured information, with sources and tools configured through permissions.", "capabilities": [], "company": { "name": "Circleback AI, Inc.", "originalName": "Circleback AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://circleback.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://circleback.ai/" } ], "news": [], "links": { "interactive": "products/circleback--b730.html", "reading": "read/en/products/circleback--b730.html", "markdown": "read/en/products/circleback--b730.md", "json": "read/en/products/circleback--b730.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b731", "language": "en", "name": "Supernormal", "originalName": "Supernormal", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公", "智能体应用" ], "categories": [ "AI office & writing", "AI agent applications" ], "entryPoints": [ { "kind": "website", "categoryKey": "AI办公", "category": "AI office & writing", "label": "Visit website", "url": "https://www.supernormal.com/", "summary": "Combine meeting notes and client documents to generate proposals, briefs, emails and presentations." } ], "summary": "Combine meeting notes and client documents to generate proposals, briefs, emails and presentations.", "introduction": "Supernormal provides context-driven agents for agencies. Meeting notes combine with documents or emails, and templates produce proposals, one-pagers, briefs, presentations or visuals. A separate Notetaker captures conversations while the workspace handles deliverables. It targets teams moving from recording discussions to producing client materials.", "capabilities": [], "company": { "name": "Supernormal Technologies, Inc.", "originalName": "Supernormal Technologies, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.supernormal.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.supernormal.com/" } ], "news": [], "links": { "interactive": "products/supernormal--b731.html", "reading": "read/en/products/supernormal--b731.html", "markdown": "read/en/products/supernormal--b731.md", "json": "read/en/products/supernormal--b731.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b732", "language": "en", "name": "Jamie", "originalName": "Jamie", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Capture online or in-person conversations without a participant bot, prepare briefs, search history and organize follow-ups.", "introduction": "Jamie captures meetings on the device across online platforms and in-person discussions. Past meetings and connected tools inform briefs, while notes, history search and CRM workflows support follow-through. It does not send a participant bot. Device capture and processing location are separate matters; consult the selected plan’s storage and privacy terms.", "capabilities": [], "company": { "name": "wespond UG (haftungsbeschränkt)", "originalName": "wespond UG (haftungsbeschränkt)", "country": { "codes": [ "DE" ], "names": [ "Germany" ], "display": "Germany", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.meetjamie.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.meetjamie.ai/" } ], "news": [], "links": { "interactive": "products/jamie--b732.html", "reading": "read/en/products/jamie--b732.html", "markdown": "read/en/products/jamie--b732.md", "json": "read/en/products/jamie--b732.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b733", "language": "en", "name": "Notta", "originalName": "Notta", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Turn meetings, interviews, lectures or uploaded media into searchable text, then summaries, briefs and visual materials.", "introduction": "Notta transcribes meetings, interviews, lectures, uploaded media and supported links, then enables search and AI summaries. Ask questions, compare interview themes and turn content into briefs, presentations or infographics. Web, mobile, desktop and separate local-transcription surfaces differ; one surface’s local-processing terms do not apply to the entire product.", "capabilities": [], "company": { "name": "Notta", "originalName": "Notta", "country": { "codes": [ "JP" ], "names": [ "Japan" ], "display": "Japan", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.notta.ai/en", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.notta.ai/en" } ], "news": [], "links": { "interactive": "products/notta--b733.html", "reading": "read/en/products/notta--b733.html", "markdown": "read/en/products/notta--b733.md", "json": "read/en/products/notta--b733.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b734", "language": "en", "name": "Voicenotes", "originalName": "Voicenotes", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "Turn spoken notes or meetings into transcripts, summaries and tasks, preserving recordings and searchable knowledge.", "introduction": "Voicenotes records meetings or personal dictation, accepts your comments and keeps audio, transcript and key points together. Generate follow-up emails, reports and tasks, or query prior notes for decisions. Links and PDF exports support collaboration, with multiple clients for online or in-person use. Check capabilities for the selected client.", "capabilities": [], "company": { "name": "Voicenotes", "originalName": "Voicenotes", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://voicenotes.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://voicenotes.com/" } ], "news": [], "links": { "interactive": "products/voicenotes--b734.html", "reading": "read/en/products/voicenotes--b734.html", "markdown": "read/en/products/voicenotes--b734.md", "json": "read/en/products/voicenotes--b734.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b8", "language": "en", "name": "Notion AI", "originalName": "Notion AI", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "AI search, meeting notes and task execution grounded in Notion workspace information.", "introduction": "Notion AI searches workspace and connected-app information, generates documents and captures meeting summaries inside Notion. Users can ask questions about team material or assign multistep work to Notion Agent using existing context. Keeping pages, information and agent actions in one workspace makes it relevant to teams already organizing work in Notion.", "capabilities": [ { "title": "Search team knowledge", "description": "Search Notion and connected sources such as Slack, Google Drive and GitHub for answers grounded in team information." }, { "title": "Agents and meeting notes", "description": "Have agents carry out page-related work or turn meeting content into summaries and follow-up actions." }, { "title": "Shared agent context", "description": "Connect workspaces and tools through MCP; admins revoke individual connections." } ], "company": { "name": "Notion Labs, Inc.", "originalName": "Notion Labs, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.notion.com/product/ai", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.notion.com/product/ai" }, { "kind": "pricing", "url": "https://www.notion.com/pricing" } ], "news": [ { "id": "notion-38-20261013", "importance": "minor", "product": "Notion AI", "title": "Notion 3.8 expands agent context", "summary": "Adds MCP connections, Skills API and clearer change history for human-agent collaboration.", "originalPublishedOn": "2026-10-13", "source": "Notion", "sourceUrl": "https://www.notion.com/releases/2026-10-13" } ], "links": { "interactive": "products/notion-ai--b8.html", "reading": "read/en/products/notion-ai--b8.html", "markdown": "read/en/products/notion-ai--b8.md", "json": "read/en/products/notion-ai--b8.json" } }, { "schemaVersion": "1.0", "updates": [ { "id": "official-kimi-work-20261022", "importance": "changelog", "product": "Kimi", "title": "Kimi Work 3.2.19 adds network diagnostics", "summary": "Adds enterprise access notices, plugin status cards and network diagnostics, with revised file-link display.", "originalPublishedOn": "2026-10-22", "source": "Kimi", "sourceUrl": "https://www.kimi.com/help/kimi-work/release-notes" } ], "companyNews": [], "id": "b9", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "Kimi", "originalName": "Kimi", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端", "基座模型" ], "categories": [ "AI assistants & clients", "Foundation models" ], "entryPoints": [ { "kind": "chat", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Web chat", "url": "https://www.kimi.com/", "summary": "AI for knowledge work, slides and coding, with parallel agent task workflows." }, { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://platform.kimi.ai/", "summary": "Kimi model APIs for reasoning, visual understanding, coding and tool calls through compatible interfaces." } ], "summary": "AI for knowledge work, slides and coding, with parallel agent task workflows.", "introduction": "Kimi is an AI product for knowledge work and coding that can turn requests into slides, games or code-based outputs. Swarm and Goal workflows organize parallel tasks around a described objective. Beyond questions and answers, it suits work combining research, content structure and implementation.", "capabilities": [ { "title": "Slides and code outputs", "description": "Generate presentations or build interactive code outputs such as multiplayer and 3D games from requirements." }, { "title": "Parallel task workflows", "description": "Swarm and Goal organize and advance parallel work toward a shared objective." } ], "company": { "name": "Beijing Moonshot Technology Co., Ltd.", "originalName": "北京月之暗面科技股份有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.kimi.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.kimi.com/" }, { "kind": "product", "url": "https://platform.kimi.ai/" }, { "kind": "documentation", "url": "https://www.kimi.com/docs" } ], "news": [ { "id": "official-kimi-code-20261023", "importance": "major", "product": "Kimi", "title": "K3.1 Pro arrives in Kimi Code", "summary": "Adds Pro and Highspeed; context limits and access depend on the subscription tier.", "originalPublishedOn": "2026-10-23", "source": "Kimi", "sourceUrl": "https://www.kimi.com/code/docs/kimi-code/whats-new.html" }, { "id": "official-kimi-finance-20260917", "importance": "minor", "product": "Kimi", "title": "Kimi introduces a finance solution", "summary": "Combines financial sources, specialist skills and report workflows; institutional results are vendor-reported.", "originalPublishedOn": "2026-09-17", "source": "Kimi", "sourceUrl": "https://www.kimi.com/news/kimi-financial-industry-ai-solution" } ], "links": { "interactive": "products/kimi--b9.html", "reading": "read/en/products/kimi--b9.html", "markdown": "read/en/products/kimi--b9.md", "json": "read/en/products/kimi--b9.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b46", "language": "en", "name": "Elicit", "originalName": "Elicit", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "Find papers from a research question, screen studies, extract fields and produce cited tables and reports.", "introduction": "Elicit searches academic evidence around a question and can use uploaded internal documents. Screening and extraction instructions organize study designs, samples or results into tables, followed by reports linked to sources. Systematic-review workflows cover screening and extraction, while reports allow changes to included papers and fields. Full-text and feature access depend on the account and source permissions.", "capabilities": [], "company": { "name": "Elicit Research, PBC", "originalName": "Elicit Research, PBC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://elicit.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://elicit.com/" } ], "news": [], "links": { "interactive": "products/elicit--b46.html", "reading": "read/en/products/elicit--b46.html", "markdown": "read/en/products/elicit--b46.md", "json": "read/en/products/elicit--b46.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b47", "language": "en", "name": "Consensus", "originalName": "Consensus", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "Search papers first, then compare methods and findings with AI to produce cited syntheses and structured results.", "introduction": "Consensus combines semantic and keyword retrieval for questions, titles, authors or DOIs. Results can feed cross-paper syntheses comparing populations, interventions, methods and findings, with citations for traceability. Deep Review, full-text chat and research workflows serve different levels of analysis. Full-text analysis depends on the underlying material being available.", "capabilities": [], "company": { "name": "Consensus", "originalName": "Consensus", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://consensus.app/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://consensus.app/" }, { "kind": "documentation", "url": "https://docs.consensus.app/" } ], "news": [], "links": { "interactive": "products/consensus--b47.html", "reading": "read/en/products/consensus--b47.html", "markdown": "read/en/products/consensus--b47.md", "json": "read/en/products/consensus--b47.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b651", "language": "en", "name": "Scite", "originalName": "Scite", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "Inspect supporting, contrasting and discussing citation contexts, then search and synthesize evidence with a research assistant.", "introduction": "Scite’s Smart Citations analyze how later literature cites a paper, showing supporting, contrasting or discussing contexts. Researchers can inspect citation passages to assess a claim, method or result within the literature. Its AI Assistant uses papers and citation signals to answer with links back to relevant passages. Collections, APIs and integrations extend the workflow.", "capabilities": [], "company": { "name": "Scite, LLC", "originalName": "Scite, LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://scite.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://scite.ai/" } ], "news": [], "links": { "interactive": "products/scite--b651.html", "reading": "read/en/products/scite--b651.html", "markdown": "read/en/products/scite--b651.md", "json": "read/en/products/scite--b651.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b76", "language": "en", "name": "SciSpace", "originalName": "SciSpace", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "Question research papers, summarize methods and findings, and extract fields for comparison.", "introduction": "SciSpace offers AI workflows for paper reading, literature research and extraction. Chat with PDF accepts uploaded papers for questions about methods, findings or limitations and saves highlights and notes. Extract Data organizes paper details into comparable fields. Scanned-document access depends on text recognition, with upload limits and features defined by the current tool documentation.", "capabilities": [], "company": { "name": "SciSpace", "originalName": "SciSpace", "country": { "codes": [ "IN" ], "names": [ "India" ], "display": "India", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://scispace.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://scispace.com/" }, { "kind": "documentation", "url": "https://scispace.com/extract-data" } ], "news": [], "links": { "interactive": "products/scispace--b76.html", "reading": "read/en/products/scispace--b76.html", "markdown": "read/en/products/scispace--b76.md", "json": "read/en/products/scispace--b76.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b10", "language": "en", "name": "Perplexity", "originalName": "Perplexity", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "AI search that synthesizes cited answers, supports follow-ups and organizes work by topic.", "introduction": "Perplexity is an AI search and research tool that searches the web and synthesizes information into conversational answers. Citations link directly to original sources for checking, while follow-up questions develop the same session. Projects organize related searches, files and tasks by topic, supporting research that combines verification with an accumulating body of material.", "capabilities": [ { "title": "Cited, multisource answers", "description": "Search and synthesize multiple sources for a question, with direct citation links in the response." }, { "title": "Follow-ups and Projects", "description": "Continue queries in the same session and group searches, Computer tasks, files, instructions and connected tools in Projects." } ], "company": { "name": "Perplexity AI, Inc.", "originalName": "Perplexity AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.perplexity.ai", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.perplexity.ai" } ], "news": [ { "id": "perplexity-local-20261020", "importance": "major", "product": "Perplexity", "title": "Perplexity Computer runs locally", "summary": "Runs locally on supported Apple silicon Macs with Pro, Max or Enterprise.", "originalPublishedOn": "2026-10-20", "source": "Perplexity", "sourceUrl": "https://www.perplexity.ai/en-GB/hub/blog/perplexity-computer-now-runs-fully-local-on-mac" }, { "id": "perplexity-space-20261015", "importance": "major", "product": "Perplexity", "title": "Perplexity open-sources SPACE", "summary": "Publishes isolation, recovery and network controls for developers to deploy and evaluate.", "originalPublishedOn": "2026-10-15", "source": "Perplexity", "sourceUrl": "https://www.perplexity.ai/en-GB/hub/blog/open-sourcing-space" } ], "links": { "interactive": "products/perplexity--b10.html", "reading": "read/en/products/perplexity--b10.html", "markdown": "read/en/products/perplexity--b10.md", "json": "read/en/products/perplexity--b10.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b11", "language": "en", "name": "Metaso AI Search", "originalName": "秘塔 AI 搜索", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "An AI search workspace combining retrieval, uploaded files and learning exploration.", "introduction": "Metaso centers on natural-language AI search, with questions and file uploads as starting points. Its interface also lists learning exploration, slide and video tools, bringing information finding and content organization into one product. It suits a workflow that starts with a question and develops into learning or content preparation.", "capabilities": [ { "title": "Questions and uploaded files", "description": "Start with a search question or upload existing files to work around material already at hand." }, { "title": "Learning and content tools", "description": "The interface provides learning exploration, slides, video generation and custom-skill entries." } ], "company": { "name": "Metaso Network Technology (Shanghai)", "originalName": "上海秘塔网络科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://metaso.cn", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://metaso.cn" } ], "news": [], "links": { "interactive": "products/ai--b11.html", "reading": "read/en/products/ai--b11.html", "markdown": "read/en/products/ai--b11.md", "json": "read/en/products/ai--b11.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b378", "language": "en", "name": "Stable Audio", "originalName": "Stable Audio", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Generate music or separate tracks, then add parts, replace sections, extend and mix within a session.", "introduction": "Stable Audio places generated sound into editable sessions. Full Mix produces a mixed track; experimental Multi-Track separates parts. Mute, solo, pan, regenerate a track, replace a time range or extend it. Cuts, effects and mixing process existing audio, while new generation consumes credits. Tempo/key references do not directly insert the uploaded recording into the result.", "capabilities": [], "company": { "name": "Stability AI Ltd / Stability AI US Services Corporation", "originalName": "Stability AI Ltd / Stability AI US Services Corporation", "country": { "codes": [ "GB", "US" ], "names": [ "United Kingdom", "United States" ], "display": "United Kingdom / United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://stableaudio.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://stableaudio.com/" }, { "kind": "documentation", "url": "https://stability.ai/stable-audio" } ], "news": [], "links": { "interactive": "products/stable-audio--b378.html", "reading": "read/en/products/stable-audio--b378.html", "markdown": "read/en/products/stable-audio--b378.md", "json": "read/en/products/stable-audio--b378.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b710", "language": "en", "name": "AIVA", "originalName": "AIVA", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Generate music from styles or audio/MIDI influences, edit and export tracks, with commercial rights varying by plan.", "introduction": "AIVA generates music from styles or uploaded audio/MIDI influences, with custom style models and editable downloads. It offers starting points for scoring, arranging or further MIDI work. Free, Standard and Pro differ in attribution, monetization and copyright terms; free access does not establish unrestricted commercial rights.", "capabilities": [], "company": { "name": "Aiva Technologies SARL", "originalName": "Aiva Technologies SARL", "country": { "codes": [ "LU" ], "names": [ "Luxembourg" ], "display": "Luxembourg", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.aiva.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.aiva.ai/" } ], "news": [], "links": { "interactive": "products/aiva--b710.html", "reading": "read/en/products/aiva--b710.html", "markdown": "read/en/products/aiva--b710.md", "json": "read/en/products/aiva--b710.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b711", "language": "en", "name": "SOUNDRAW", "originalName": "SOUNDRAW", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Blend genres, generate music and adjust instruments, intensity and length by section, with plan-dependent exports.", "introduction": "SOUNDRAW creates scores and beats from chosen or blended genres. Its Mixer adjusts instruments, energy and duration to fit footage or later recording. Creator and artist plans differ in downloads and stems, and commercial use or distribution follows the applicable license. Training-source and copyright-safety statements are vendor claims rather than independent clearance for every use.", "capabilities": [], "company": { "name": "SOUNDRAW Inc.", "originalName": "SOUNDRAW Inc.", "country": { "codes": [ "JP" ], "names": [ "Japan" ], "display": "Japan", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://soundraw.io/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://soundraw.io/" } ], "news": [], "links": { "interactive": "products/soundraw--b711.html", "reading": "read/en/products/soundraw--b711.html", "markdown": "read/en/products/soundraw--b711.md", "json": "read/en/products/soundraw--b711.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b712", "language": "en", "name": "Kits AI", "originalName": "Kits AI", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Voice conversion, custom voices, vocal separation and instrument-related AI processing for singing and recordings.", "introduction": "Kits AI processes sound for music production: convert singing to a selected voice, build custom voices and separate vocals or work with instrument performances. It focuses on transforming recordings rather than only generating complete songs from text. Check model permissions, source rights and plan-specific exports before incorporating results into production.", "capabilities": [], "company": { "name": "Arpeggi, Inc.", "originalName": "Arpeggi, Inc.", "entities": [ { "name": "Arpeggi Labs, Inc.", "originalName": "Arpeggi Labs, Inc.", "role": "copyright-contact", "roleLabel": "Copyright contact entity" } ], "note": "Copyright contact entity: Arpeggi Labs, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.kits.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.kits.ai/" } ], "news": [], "links": { "interactive": "products/kits-ai--b712.html", "reading": "read/en/products/kits-ai--b712.html", "markdown": "read/en/products/kits-ai--b712.md", "json": "read/en/products/kits-ai--b712.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b13", "language": "en", "name": "Suno", "originalName": "Suno", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "AI music creation from style, mood or lyrics, with stems for further arranging.", "introduction": "Suno turns genre, mood, theme or original lyrics into songs with vocals and instrumentation, or instrumental tracks. Generated music can be extended, refined or remixed, while Studio provides browser-based arranging, editing and mixing. Stem separation produces aligned parts for creators developing an initial musical draft into a more detailed production.", "capabilities": [ { "title": "Prompts and lyrics to songs", "description": "Specify genre, mood and theme or supply lyrics to generate vocals and instrumentation, then extend or refine the track." }, { "title": "Stems and arranging", "description": "Separate songs into aligned stems for arranging, editing and mixing in Studio or an existing audio workflow." } ], "company": { "name": "Suno Inc.", "originalName": "Suno Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://suno.com", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://suno.com" }, { "kind": "pricing", "url": "https://suno.com#pricing-section" } ], "news": [ { "id": "official-suno-speech-20261001", "importance": "major", "product": "Suno", "title": "Suno Speech enters open beta", "summary": "Generates spoken audio and original background music together as one track; still in beta.", "originalPublishedOn": "2026-10-01", "source": "Suno", "sourceUrl": "https://suno.com/blog/introducing-speech-beta" }, { "id": "official-suno-v6-20260909", "importance": "major", "product": "Suno", "title": "Suno introduces v6 music models", "summary": "Adds natural-language edits, multi-source mashups and multimodal creation; older models retire as v6 rolls out.", "originalPublishedOn": "2026-09-09", "source": "Suno", "sourceUrl": "https://suno.com/blog/introducing-v6" } ], "links": { "interactive": "products/suno--b13.html", "reading": "read/en/products/suno--b13.html", "markdown": "read/en/products/suno--b13.md", "json": "read/en/products/suno--b13.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "suitable", "label": "Useful for", "text": "Useful for everyday tasks linked to Alibaba services, such as budget-based shopping comparisons and travel planning. This entry covers Qwen App, not a developer model console.", "sourceUrls": [ "https://www.alibabagroup.com/en-US/about-alibaba-businesses-1951035128754995200", "https://www.alibabagroup.com/en-US/document-1991231293551017984" ] }, { "key": "workflow", "label": "Suggested workflow", "text": "For shopping, state budget, recipient and constraints, then compare candidates and trade-offs. Before continuing an order or after-sales task, verify the account, item and service page.", "sourceUrls": [ "https://www.alibabagroup.com/en-US/document-1991231293551017984" ] }, { "key": "limits", "label": "Before you start", "text": "Taobao’s Qwen Shopping Assistant and Qwen App are different surfaces. The May announcement planned app virtual try-on for later, not immediate availability; transaction access depends on account and region.", "sourceUrls": [ "https://www.alibabagroup.com/en-US/about-alibaba-businesses-1951035128754995200", "https://www.alibabagroup.com/en-US/document-1991231293551017984" ] } ] }, "id": "b14", "language": "en", "name": "Qwen App", "originalName": "千问", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [ { "kind": "chat", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Web chat", "url": "https://www.qianwen.com", "summary": "Alibaba’s Qwen App for users in China combines search, documents and slides with supported shopping and travel services." } ], "summary": "Alibaba’s Qwen App for users in China combines search, documents and slides with supported shopping and travel services.", "introduction": "Qwen App is Alibaba’s consumer AI assistant for users in China. Text or voice requests support AI search, webpage summaries, recording notes, image creation and presentations. Connections to Taobao, Fliggy, Amap and Alipay bring product comparisons, travel planning and supported transactions into the conversation; payment requires user confirmation. Service availability depends on region, account and rollout. Developers access Qwen models through the separate Model Studio platform rather than this chat entry.", "capabilities": [], "company": { "name": "Shanghai Zhixin Puhui Technology", "originalName": "上海智信普惠科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.qianwen.com", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.qianwen.com" } ], "news": [ { "id": "qwen-app-taobao-catalog-20260511", "importance": "minor", "product": "千问", "title": "Qwen App connects to Taobao’s full catalog for conversational shopping", "summary": "Alibaba announced full Taobao and Tmall catalog access for Qwen App in China, supporting conversational browsing, comparisons, orders and delivery management. The shopping assistant inside Taobao is a separate entry; virtual try-on was still planned for Qwen App at publication.", "originalPublishedOn": "2026-05-11", "source": "Alibaba Group", "sourceUrl": "https://www.alibabagroup.com/en-US/document-1991231293551017984" }, { "id": "qwen-app-agentic-services-20260115", "importance": "minor", "product": "千问", "title": "Qwen App tests connected shopping, travel and payments in China", "summary": "Qwen App announced connections to Taobao Instant Commerce, Fliggy, Amap and Alipay for conversational ordering, planning and bookings, with supported payments after user confirmation. Task Assistant was invite-only beta, demonstrating multi-document reports, phone confirmations and lightweight web apps.", "originalPublishedOn": "2026-01-15", "source": "Alibaba Group", "sourceUrl": "https://www.alibabagroup.com/en-US/document-1948497434959151104" } ], "links": { "interactive": "products/product--b14.html", "reading": "read/en/products/product--b14.html", "markdown": "read/en/products/product--b14.md", "json": "read/en/products/product--b14.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "suitable", "label": "Useful for", "text": "Useful for questions about documents, spreadsheets and code. The web app can create and revise spreadsheet charts and import code folders or GitHub repositories as context.", "sourceUrls": [ "https://support.google.com/gemini/answer/14903178?hl=en" ] }, { "key": "workflow", "label": "Suggested workflow", "text": "Upload only relevant files, then specify fields, comparisons or charts. Very large inputs can lose cross-file details; split them into smaller batches and verify the results.", "sourceUrls": [ "https://support.google.com/gemini/answer/14903178?hl=en" ] }, { "key": "limits", "label": "Before you start", "text": "Uploads require sign-in, allow up to ten files per prompt subject to availability, and have rolling and size limits. Work/school Drive access requires administrator-enabled apps.", "sourceUrls": [ "https://support.google.com/gemini/answer/14903178?hl=en" ] }, { "key": "data", "label": "Data & permissions", "text": "For personal accounts, check Keep Activity; some conversations may be human-reviewed. Turning activity off does not immediately erase all data. Work/school terms may differ.", "sourceUrls": [ "https://support.google.com/gemini/answer/13594961?hl=en" ] } ] }, "id": "b15", "language": "en", "name": "Gemini", "originalName": "Gemini", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端", "基座模型" ], "categories": [ "AI assistants & clients", "Foundation models" ], "entryPoints": [ { "kind": "chat", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Web chat", "url": "https://gemini.google.com/", "summary": "Google’s AI assistant for analyzing files and spreadsheets and creating editable work in Canvas." }, { "kind": "api", "categoryKey": "基座模型", "category": "Foundation models", "label": "API platform", "url": "https://aistudio.google.com/", "summary": "Gemini model APIs, with AI Studio for testing prompts, managing keys and building multimodal apps." } ], "summary": "Google’s AI assistant for analyzing files and spreadsheets and creating editable work in Canvas.", "introduction": "Gemini is Google’s multimodal AI assistant for questions, summaries and analysis grounded in text, images and uploaded files. Spreadsheets can be analyzed and charted, while Canvas provides a workspace for creating and editing documents, code and apps. It connects understanding source material with writing or prototyping, using follow-up prompts or direct edits to refine the result.", "capabilities": [ { "title": "Analyze uploaded material", "description": "Upload documents, spreadsheets, images or videos to ask questions, request summaries or generate charts from tabular data." }, { "title": "Create and edit in Canvas", "description": "Create documents, code, apps and presentation material from prompts or reference files, then edit directly or refine through chat." } ], "company": { "name": "Google LLC", "originalName": "Google LLC", "entities": [ { "name": "Google Ireland Limited", "originalName": "Google Ireland Limited", "role": "service-provider-eea-ch", "roleLabel": "Service provider (EEA and Switzerland)" } ], "note": "Service provider (EEA and Switzerland): Google Ireland Limited", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://gemini.google.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://gemini.google.com/" }, { "kind": "product", "url": "https://aistudio.google.com/" } ], "news": [ { "id": "official-google-business-20261020", "importance": "minor", "product": "Gemini", "title": "Gemini expands tools for small businesses", "summary": "Adds a business hub, app connections and brand context; Google describes a rollout over the following days.", "originalPublishedOn": "2026-10-20", "source": "Google", "sourceUrl": "https://blog.google/innovation-and-ai/products/gemini-app/new-tools-small-business-owners/" }, { "id": "gemini-app", "importance": "major", "product": "Gemini", "title": "Gemini 4 Argon comes to the Gemini app", "summary": "Google AI Pro and Ultra subscribers can use Gemini 4 Argon for tasks in the Gemini app. Gemini also expands to more than 40 connected apps for workflows including reservations, shopping and business design.", "originalPublishedOn": "2026-10-13", "source": "Google", "sourceUrl": "https://blog.google/innovation-and-ai/products/gemini-app/gemini-4-argon-availability/" }, { "id": "gemini-developers", "importance": "major", "product": "Gemini", "title": "Google shares Gemini 4 Argon developer updates", "summary": "Gemini 4 Argon opens to developers for multi-step work such as code migrations, enterprise knowledge tasks and cybersecurity defense. 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Users can explore a problem, work through reading material and create text or images. Agent applications provide further task-oriented entries alongside this reading-to-creation workflow.", "capabilities": [ { "title": "Explore and read", "description": "Use inspiration exploration to examine a question and AI reading to work through source material." }, { "title": "Creation and agent apps", "description": "Create text and images or use agent applications for particular work and study tasks." } ], "company": { "name": "Baidu Netcom Technology (Beijing)", "originalName": "北京百度网讯科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://yiyan.baidu.com", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://yiyan.baidu.com" } ], "news": [], "links": { "interactive": "products/product--b18.html", "reading": "read/en/products/product--b18.html", "markdown": "read/en/products/product--b18.md", "json": "read/en/products/product--b18.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b19", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "international-only", "name": "Microsoft Copilot", "originalName": "Microsoft Copilot", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [], "summary": "Microsoft’s conversational assistant for explaining problems, developing ideas and drafting content.", "introduction": "Microsoft Copilot is a user-facing AI assistant for learning, creation and problem solving through chat. Users describe a question, idea or writing task and develop the discussion by supplying more context. It supports turning scattered questions and ideas into explanations, plans or drafts through an ongoing conversation.", "capabilities": [ { "title": "Learning and problem solving", "description": "Ask a question and add context through follow-ups to develop explanations and possible approaches." }, { "title": "Brainstorm and draft", "description": "Develop ideas around a creative topic and turn the discussion into a draft for further revision." } ], "company": { "name": "Microsoft Corporation", "originalName": "Microsoft Corporation", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://copilot.microsoft.com", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://copilot.microsoft.com" } ], "news": [], "links": { "interactive": "products/microsoft-copilot--b19.html", "reading": "read/en/products/microsoft-copilot--b19.html", "markdown": "read/en/products/microsoft-copilot--b19.md", "json": "read/en/products/microsoft-copilot--b19.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b704", "language": "en", "name": "Magnific", "originalName": "Magnific", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Generate visuals from prompts or references, choose models, characters and styles, then edit, upscale or organize workflows.", "introduction": "Magnific combines image, video and audio generation and editing. Its image tools use prompts, references, characters or objects, with model and aspect choices followed by editing, extension and upscaling. Spaces connects workflows. This entry opens the AI image tool; the platform’s separate Stock collection has different content and licensing.", "capabilities": [], "company": { "name": "Freepik Company, S.L.U.", "originalName": "Freepik Company, S.L.U.", "country": { "codes": [ "ES" ], "names": [ "Spain" ], "display": "Spain", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.magnific.com/ai/image-generator", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.magnific.com/ai/image-generator" } ], "news": [], "links": { "interactive": "products/magnific--b704.html", "reading": "read/en/products/magnific--b704.html", "markdown": "read/en/products/magnific--b704.md", "json": "read/en/products/magnific--b704.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b705", "language": "en", "name": "Topaz Photo", "originalName": "Topaz Photo", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "AI photo denoising, sharpening, upscaling and detail restoration, with lighting, color and local defect adjustments.", "introduction": "Topaz Photo enhances existing photographs rather than generating whole images from text. It addresses RAW or regular photo noise, blur and size, with face recovery, lighting, color and defect cleanup. Documentation covers previews, batches, exports and photography plugins. Local or cloud processing, model choices and hardware requirements depend on the selected feature.", "capabilities": [], "company": { "name": "Topaz Labs", "originalName": "Topaz Labs", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.topazlabs.com/topaz-photo", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.topazlabs.com/topaz-photo" }, { "kind": "documentation", "url": "https://docs.topazlabs.com/topaz-photo" } ], "news": [], "links": { "interactive": "products/topaz-photo--b705.html", "reading": "read/en/products/topaz-photo--b705.html", "markdown": "read/en/products/topaz-photo--b705.md", "json": "read/en/products/topaz-photo--b705.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b707", "language": "en", "name": "Dzine", "originalName": "Dzine", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Combine generative fill, image composition, character references and chat editing, with video and lip-sync tools.", "introduction": "Dzine combines generation and editing in visual workflows, using reference composition, consistent characters and local fill or chat edits. Video tools include text, image and reference generation, lip sync and avatars. Choose supported models and continue with image or video enhancement. Available models and credits depend on the account plan.", "capabilities": [], "company": { "name": "SeeKoo LLC", "originalName": "SeeKoo LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.dzine.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.dzine.ai/" } ], "news": [], "links": { "interactive": "products/dzine--b707.html", "reading": "read/en/products/dzine--b707.html", "markdown": "read/en/products/dzine--b707.md", "json": "read/en/products/dzine--b707.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b708", "language": "en", "name": "OpenArt", "originalName": "OpenArt", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Organize image creation around references and characters, with camera angles, motion references and multi-scene video workflows.", "introduction": "OpenArt exposes image and video models for prompt or image generation, recurring characters, camera angles, detail and resolution adjustments. Motion references guide video, while Director organizes multi-scene films, music videos and ads. Parameters and output conditions vary by model, and character continuity and final frames need review.", "capabilities": [], "company": { "name": "OpenArt, Inc.", "originalName": "OpenArt, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://openart.ai/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://openart.ai/" } ], "news": [], "links": { "interactive": "products/openart--b708.html", "reading": "read/en/products/openart--b708.html", "markdown": "read/en/products/openart--b708.md", "json": "read/en/products/openart--b708.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b709", "language": "en", "name": "Clipdrop", "originalName": "Clipdrop", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Remove backgrounds, objects or text from uploads, extend, relight and upscale images, or generate from text.", "introduction": "Clipdrop separates common edits into tools: Cleanup removes selected objects, background tools extract or replace backgrounds, Uncrop extends frames, Relight changes lighting and Upscaler improves size and detail. Upload images, specify regions or parameters and download results, or generate from text. API access now points to Jasper; web and API permissions, quotas and features differ.", "capabilities": [], "company": { "name": "Jasper / InitML", "originalName": "Jasper / InitML", "country": { "codes": [ "FR" ], "names": [ "France" ], "display": "France", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://clipdrop.co/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://clipdrop.co/" } ], "news": [], "links": { "interactive": "products/clipdrop--b709.html", "reading": "read/en/products/clipdrop--b709.html", "markdown": "read/en/products/clipdrop--b709.md", "json": "read/en/products/clipdrop--b709.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b23", "language": "en", "name": "Leonardo.Ai", "originalName": "Leonardo.Ai", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Generate images with prompts and model choices, refine composition and details, and extend stills into video.", "introduction": "Leonardo.Ai provides image generation, editing and motion workspaces. Start from prompts or references, choose a model and visual direction, then refine composition, style and elements to preserve. Tools also turn still concepts into video. Model access, edits and credits vary by account and plan.", "capabilities": [], "company": { "name": "Leonardo.Ai", "originalName": "Leonardo.Ai", "country": { "codes": [ "AU" ], "names": [ "Australia" ], "display": "Australia", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://app.leonardo.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://app.leonardo.ai/" } ], "news": [], "links": { "interactive": "products/leonardo-ai--b23.html", "reading": "read/en/products/leonardo-ai--b23.html", "markdown": "read/en/products/leonardo-ai--b23.md", "json": "read/en/products/leonardo-ai--b23.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "cost", "label": "Billing model", "text": "Monthly or annual subscriptions renew automatically. Generation modes and allowances vary by tier.", "sourceUrls": [ "https://docs.midjourney.com/hc/en-us/articles/27870484040333-Comparing-Midjourney-Plans" ] }, { "key": "limits", "label": "Before you start", "text": "Stealth Mode for private creations is available only on Pro and Mega. Check this before working with confidential material.", "sourceUrls": [ "https://docs.midjourney.com/hc/en-us/articles/27870484040333-Comparing-Midjourney-Plans" ] } ] }, "id": "b626", "language": "en", "name": "Midjourney", "originalName": "Midjourney", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Generate visuals from text, image and style references, then make variations, edits or image-based videos.", "introduction": "Midjourney’s web Create workspace accepts prompts and uploaded images. References can guide image content, style or edits, while aspect ratio, stylization and variety control the result. Generated images can become subtle or strong variations, be opened in the editor or act as starting frames for video. The creation feed keeps prompts, parameters and references for further iteration.", "capabilities": [], "company": { "name": "Midjourney, Inc.", "originalName": "Midjourney, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.midjourney.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.midjourney.com/" }, { "kind": "documentation", "url": "https://docs.midjourney.com/hc/en-us" } ], "news": [ { "id": "midjourney-thinking-20261008", "importance": "minor", "product": "Midjourney", "title": "Midjourney tests Thinking Mode", "summary": "Alpha users can try Rerun (Thinking); broad availability has not been announced.", "originalPublishedOn": "2026-10-08", "source": "Midjourney", "sourceUrl": "https://updates.midjourney.com/testing-thinking-mode/" }, { "id": "midjourney-default-20260611", "importance": "minor", "product": "Midjourney", "title": "Midjourney defaults to V8.1", "summary": "V8.1 replaces V7 as default; Omni Reference support remains version-specific.", "originalPublishedOn": "2026-06-11", "source": "Midjourney", "sourceUrl": "https://updates.midjourney.com/v8-1-is-now-the-default-model/" } ], "links": { "interactive": "products/midjourney--b626.html", "reading": "read/en/products/midjourney--b626.html", "markdown": "read/en/products/midjourney--b626.md", "json": "read/en/products/midjourney--b626.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b627", "language": "en", "name": "Ideogram", "originalName": "Ideogram", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Generate and edit images with typography, logos and visual references, plus targeted edits, background tools and upscaling.", "introduction": "Ideogram generates visuals from prompts or reference images, with dedicated workflows for text in images, logos and transparent backgrounds. Existing images can be remixed, edited through masks, given new backgrounds or enlarged; Studio supports layers and added text. Web, mobile and API access serve different workflows. Model, video and advanced editing access depends on the account and plan.", "capabilities": [], "company": { "name": "Ideogram, Inc.", "originalName": "Ideogram, Inc.", "country": { "codes": [ "CA" ], "names": [ "Canada" ], "display": "Canada", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://ideogram.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://ideogram.ai/" }, { "kind": "documentation", "url": "https://developer.ideogram.ai/ideogram-api/api-overview" } ], "news": [], "links": { "interactive": "products/ideogram--b627.html", "reading": "read/en/products/ideogram--b627.html", "markdown": "read/en/products/ideogram--b627.md", "json": "read/en/products/ideogram--b627.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b628", "language": "en", "name": "ComfyUI", "originalName": "ComfyUI", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Connect models, prompts, sampling and processing nodes into reusable image, video and other generation workflows.", "introduction": "ComfyUI is an open-source creation environment built around node graphs. Choose models and templates, connect input, sampling, control and output steps, then save workflows to rerun or modify. It supports image, video, audio and 3D models, a local API and simplified App Mode. Local models depend on the installed runtime and hardware; partner nodes and cloud services may require connectivity, accounts and separate charges.", "capabilities": [], "company": { "name": "Comfy Org", "originalName": "Comfy Org", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.comfy.org/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.comfy.org/" }, { "kind": "documentation", "url": "https://docs.comfy.org/" } ], "news": [], "links": { "interactive": "products/comfyui--b628.html", "reading": "read/en/products/comfyui--b628.html", "markdown": "read/en/products/comfyui--b628.md", "json": "read/en/products/comfyui--b628.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b633", "language": "en", "name": "FLUX", "originalName": "FLUX", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Black Forest Labs’ visual model family for image generation and editing through its official playground or API.", "introduction": "FLUX is Black Forest Labs’ visual model family, including text-to-image generation and reference-based editing. The official playground offers interactive use, while APIs integrate generation and edits into applications. Inputs, outputs and deployment options differ by version; some releases offer downloadable weights, with separate licenses. Current documentation also lists video capabilities, so check the selected model and endpoint rather than assuming every version supports the same tasks.", "capabilities": [], "company": { "name": "Black Forest Labs", "originalName": "Black Forest Labs", "country": { "codes": [ "DE" ], "names": [ "Germany" ], "display": "Germany", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://playground.bfl.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://playground.bfl.ai/" }, { "kind": "documentation", "url": "https://bfl.ai/" } ], "news": [], "links": { "interactive": "products/flux--b633.html", "reading": "read/en/products/flux--b633.html", "markdown": "read/en/products/flux--b633.md", "json": "read/en/products/flux--b633.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "seedance25-20260731", "relation": "company", "affectedProducts": [ { "id": "b913", "name": "Seedance" } ], "importance": "major", "product": "Seedance", "title": "Seedance 2.5 launches with longer shots and reference editing", "summary": "The announcement introduces 2.5 on Jimeng and Doubao Pro, describing up to 30-second audiovisual generation, repeated extensions, multiple references and timestamp editing. BytePlus ModelArk API access was forthcoming at publication.", "originalPublishedOn": "2026-07-31", "source": "ByteDance Seed", "sourceUrl": "https://seed.bytedance.com/en/blog/one-take-creation-flexible-referencing-introducing-seedance-2-5" } ], "id": "b21", "language": "en", "name": "Jimeng AI", "originalName": "即梦 AI", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "An AI creative platform bringing images, video, audio and avatars into canvas and agent workflows.", "introduction": "Jimeng AI places image, video, music, audio and avatar creation in one platform, with generation entries by content type. Canvas and Agent modes provide spaces to organize creative work, alongside subject and asset areas. Its discovery section features advertising, film, graphic design and animation, serving creators working across media formats.", "capabilities": [ { "title": "Multimedia creation", "description": "Start image, video, music, audio or avatar creation, with additional entries such as motion imitation." }, { "title": "Canvas and creative assets", "description": "Organize work in canvas or Agent mode and access related content through subject and asset areas." } ], "company": { "name": "Lianmeng Technology (Shenzhen)", "originalName": "深圳市脸萌科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://jimeng.jianying.com", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://jimeng.jianying.com" } ], "news": [], "links": { "interactive": "products/ai--b21.html", "reading": "read/en/products/ai--b21.html", "markdown": "read/en/products/ai--b21.md", "json": "read/en/products/ai--b21.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b22", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "international-only", "name": "Adobe Firefly", "originalName": "Adobe Firefly", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Adobe’s creative workspace bringing multiple models together for images, video and audio.", "introduction": "Adobe Firefly is a generative AI workspace combining image, video and audio creation. Creators choose media types and models around an idea to produce different kinds of creative assets. 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A subscription does not provide API Units.", "sourceUrls": [ "https://www.recraft.ai/pricing" ] }, { "key": "limits", "label": "Before you start", "text": "Free-plan images are public in the community gallery and are not licensed for commercial use. Check paid-plan terms for commercial or private work.", "sourceUrls": [ "https://www.recraft.ai/pricing" ] } ] }, "id": "b25", "language": "en", "name": "Recraft", "originalName": "Recraft", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "AI design creation spanning realistic images, vectors, custom styles and mockups.", "introduction": "Recraft is a text-to-image model and design platform covering realistic images, vectors and custom visual styles. Users describe a scene or design direction, then place resulting visuals in context through mockups. It serves creators working across illustration, brand visuals and product presentation.", "capabilities": [ { "title": "Images and vectors", "description": "Describe scenes or visual directions to generate realistic images, illustrations or vector content." }, { "title": "Styles and mockups", "description": "Use custom styles to organize visuals and mockups to place imagery within product or design presentations." } ], "company": { "name": "Recraft Inc.", "originalName": "Recraft Inc.", "country": { "codes": [ "GB" ], "names": [ "United Kingdom" ], "display": "United Kingdom", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.recraft.ai", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.recraft.ai" }, { "kind": "documentation", "url": "https://www.recraft.ai/docs/api-reference/getting-started" }, { "kind": "pricing", "url": "https://www.recraft.ai/pricing" } ], "news": [ { "id": "recraft-v41-20260514", "importance": "minor", "product": "Recraft", "title": "Recraft V4.1 adds Vector and Utility creative options", "summary": "The V4.1 family distinguishes the main model, Vector and Utility for visual exploration, vector illustration and lettering, and simpler product or mockup scenes. 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Terminal, Git and extensions retain the development toolchain for people balancing delegation with direct code control.", "capabilities": [ { "title": "Agent and IDE modes", "description": "Advance tasks with an agent, then take over detailed changes and debugging in the IDE with synchronized task data and configuration." }, { "title": "Development tools and extensions", "description": "Combine editing, terminal, Git, review and extensions while working on an existing project." } ], "company": { "name": "Yinli Dangong Technology (Beijing)", "originalName": "北京引力弹弓科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.trae.cn", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.trae.cn" }, { "kind": "documentation", "url": "https://docs.trae.cn" }, { "kind": "pricing", "url": "https://www.trae.cn/pricing" } ], "news": [], "links": { "interactive": "products/trae--b32.html", "reading": "read/en/products/trae--b32.html", "markdown": "read/en/products/trae--b32.md", "json": "read/en/products/trae--b32.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b33", "language": "en", "name": "Grammarly", "originalName": "Grammarly", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "AI writing assistance with grammar, tone and paragraph-level revisions where you write.", "introduction": "Grammarly supports writing that needs repeated editing through proofreading, clarity revisions, tone suggestions and AI generation. 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Shared themes, fonts, colors and logos support teams repeatedly producing branded reports, sales decks or training material.", "capabilities": [ { "title": "Adaptive slide layouts", "description": "Smart Slides align content automatically, working with templates and charts instead of positioning each element individually." }, { "title": "Shared brand themes", "description": "Set brand colors, fonts and logos in shared themes to keep team presentations visually consistent." } ], "company": { "name": "Beautiful Slides, Inc.", "originalName": "Beautiful Slides, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.beautiful.ai", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.beautiful.ai" }, { "kind": "pricing", "url": "https://www.beautiful.ai/pricing" } ], "news": [], "links": { "interactive": "products/beautiful-ai--b38.html", "reading": "read/en/products/beautiful-ai--b38.html", "markdown": "read/en/products/beautiful-ai--b38.md", "json": "read/en/products/beautiful-ai--b38.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b706", "language": "en", "name": "Topaz Video", "originalName": "Topaz Video", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Enhance existing video with AI upscaling, denoising, deblurring, frame interpolation and stabilization.", "introduction": "Topaz Video restores existing footage using enhancement, noise reduction, motion deblur, interpolation or stabilization, plus SDR-to-HDR conversion. Preview results, adjust parameters and export. Some models run locally while others use cloud rendering. 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Its architecture separates global song structure from local acoustic detail and revises audio rendering.", "originalPublishedOn": "2026-08-13", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model" } ], "id": "b713", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "Hailuo AI", "originalName": "海螺 AI", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Generate video with sound from text and multimodal references, controlling characters, motion and cameras, then editing visuals or dialogue.", "introduction": "Hailuo AI is MiniMax’s video creation app, generating clips from descriptions, images or references. Its current H3 page combines text, image, video and audio context for character, motion, camera and voice references, plus editing objects, scenes, dialogue or effects. Modes have input requirements: audio references must accompany an image or video. Features depend on the selected model.", "capabilities": [], "company": { "name": "MiniMax", "originalName": "MiniMax", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://hailuoai.video/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://hailuoai.video/" }, { "kind": "documentation", "url": "https://hailuoai.video/tools/minimax-h3" } ], "news": [ { "id": "official-minimax-h3-20260803", "importance": "major", "product": "海螺 AI", "title": "MiniMax releases open H3 models", "summary": "Publishes video-generation variants with different input formats, resolutions and generation methods.", "originalPublishedOn": "2026-08-03", "source": "MiniMax", "sourceUrl": "https://www.minimax.cn/news/minimax-h3-open-source" } ], "links": { "interactive": "products/hailuo-ai--b713.html", "reading": "read/en/products/hailuo-ai--b713.html", "markdown": "read/en/products/hailuo-ai--b713.md", "json": "read/en/products/hailuo-ai--b713.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b714", "language": "en", "name": "Higgsfield", "originalName": "Higgsfield", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Create video around shots, motion and presets, transfer reference motion or swap elements, and organize visual assets.", "introduction": "Higgsfield combines image, video and editing tools. 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Uses include explainers, training and product presentations, with voice and brand choices. 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Gen-4.5 supports text-to-video and image-to-video: describe the scene, camera and action, choose framing and duration, then iterate through prompt changes. Edit Studio provides workflows for existing footage. 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Generation, dynamic storyboards, timeline editing and sound design share the workspace; camera controls, keyframes and references shape individual shots. Reusable Characters, Objects and Locations help maintain consistency across scenes. This creative application is a different access point from LTX model weights, training tools and developer APIs.", "capabilities": [], "company": { "name": "Lightricks", "originalName": "Lightricks", "country": { "codes": [ "IL" ], "names": [ "Israel" ], "display": "Israel", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://ltx.io/studio", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://ltx.io/studio" } ], "news": [], "links": { "interactive": "products/ltx-studio--b632.html", "reading": "read/en/products/ltx-studio--b632.html", "markdown": "read/en/products/ltx-studio--b632.md", "json": "read/en/products/ltx-studio--b632.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b39", "language": "en", "name": "Kling AI", "originalName": "可灵 AI", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "A multimedia AI studio for video, imagery and avatars guided by prompts and references.", "introduction": "Kling AI combines video, image, audio, avatar and effect generation in one creative platform. Users start from prompts or reference assets, choose a media type and organize related work through the asset area and canvas. 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Users refine words in the lyrics editor and add earlier sections, later sections, intros or outros to an existing track. Crop-and-extend workflows let new sections use different prompts and lyrics for building song structure piece by piece.", "capabilities": [ { "title": "Lyrics input and editing", "description": "Generate lyrics or paste original text in Custom mode, then refine it in the lyrics editor." }, { "title": "Extend song sections", "description": "Extend before or after a track, add intros or outros, or crop and extend with section-specific prompts and lyrics." } ], "company": { "name": "Uncharted Labs, Inc.", "originalName": "Uncharted Labs, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.udio.com", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.udio.com" } ], "news": [], "links": { "interactive": "products/udio--b44.html", "reading": "read/en/products/udio--b44.html", "markdown": "read/en/products/udio--b44.md", "json": "read/en/products/udio--b44.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b48", "language": "en", "name": "Semantic Scholar", "originalName": "Semantic Scholar", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "AI-assisted discovery and reading of scholarly papers, with a research API.", "introduction": "Semantic Scholar is an AI research tool that uses the semantics of scientific literature to help discover relevant papers. Researchers search the literature and use Semantic Reader to support understanding selected papers. 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Its focus is marketing analysis and delivery workflows; forecasts remain dependent on data and business assumptions.", "capabilities": [], "company": { "name": "Akkio Inc.", "originalName": "Akkio Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.akkio.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.akkio.com/" } ], "news": [], "links": { "interactive": "products/akkio--b742.html", "reading": "read/en/products/akkio--b742.html", "markdown": "read/en/products/akkio--b742.md", "json": "read/en/products/akkio--b742.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b91", "language": "en", "name": "Tripo AI", "originalName": "Tripo AI", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Generate 3D models from text or images for games, printing and animation.", "introduction": "Tripo AI turns text descriptions or images into 3D models as starting assets for three-dimensional work. Users begin with an object description or visual reference to move a two-dimensional idea into model production. The official site identifies games, 3D printing and animation as use cases.", "capabilities": [ { "title": "Text and image to 3D", "description": "Generate a three-dimensional model from an object description or reference image." } ], "company": { "name": "Holymolly Limited", "originalName": "Holymolly Limited", "country": { "codes": [ "HK" ], "names": [ "Hong Kong SAR, China" ], "display": "Hong Kong SAR, China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.tripo3d.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.tripo3d.ai/" }, { "kind": "pricing", "url": "https://www.tripo3d.ai/pricing" } ], "news": [], "links": { "interactive": "products/tripo-ai--b91.html", "reading": "read/en/products/tripo-ai--b91.html", "markdown": "read/en/products/tripo-ai--b91.md", "json": "read/en/products/tripo-ai--b91.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b93", "language": "en", "name": "Moyin Workshop", "originalName": "魔音工坊", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Turn text into narration with voice and accent choices for videos and audiobooks.", "introduction": "Moyin Workshop is an online AI speech-synthesis and voiceover tool that turns entered text into audio. Voice choices span genders and accents so narration can be matched to the content. It serves workflows where a script is already written and needs a voice track for video or audiobooks.", "capabilities": [ { "title": "Text to voiceover", "description": "Enter a script or other text to produce synthesized narration." }, { "title": "Voice and accent choices", "description": "Choose among voices with different genders and accents to match the content." } ], "company": { "name": "Xiaowen AI Technology (Beijing)", "originalName": "北京小问智能科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.moyin.com/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.moyin.com/" } ], "news": [], "links": { "interactive": "products/product--b93.html", "reading": "read/en/products/product--b93.html", "markdown": "read/en/products/product--b93.md", "json": "read/en/products/product--b93.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "qwen-app-taobao-catalog-20260511", "relation": "company", "affectedProducts": [ { "id": "b14", "name": "Qwen App" } ], "importance": "minor", "product": "千问", "title": "Qwen App connects to Taobao’s full catalog for conversational shopping", "summary": "Alibaba announced full Taobao and Tmall catalog access for Qwen App in China, supporting conversational browsing, comparisons, orders and delivery management. The shopping assistant inside Taobao is a separate entry; virtual try-on was still planned for Qwen App at publication.", "originalPublishedOn": "2026-05-11", "source": "Alibaba Group", "sourceUrl": "https://www.alibabagroup.com/en-US/document-1991231293551017984" }, { "id": "qwen-app-agentic-services-20260115", "relation": "company", "affectedProducts": [ { "id": "b14", "name": "Qwen App" } ], "importance": "minor", "product": "千问", "title": "Qwen App tests connected shopping, travel and payments in China", "summary": "Qwen App announced connections to Taobao Instant Commerce, Fliggy, Amap and Alipay for conversational ordering, planning and bookings, with supported payments after user confirmation. Task Assistant was invite-only beta, demonstrating multi-document reports, phone confirmations and lightweight web apps.", "originalPublishedOn": "2026-01-15", "source": "Alibaba Group", "sourceUrl": "https://www.alibabagroup.com/en-US/document-1948497434959151104" } ], "id": "b97", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "international-only", "name": "Qwen Chat", "originalName": "Qwen Chat", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [ { "kind": "chat", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Web chat", "url": "https://chat.qwen.ai/", "summary": "The official Qwen interface bringing chat, documents, vision and tools together." } ], "summary": "The official Qwen interface bringing chat, documents, vision and tools together.", "introduction": "Qwen Chat is an official interface to Qwen models, offering conversation, document processing, image understanding and image creation or editing. Users ask questions about material, interact through voice or video and use tools and Artifacts for additional outputs. It suits trying different Qwen modalities without first building a custom application.", "capabilities": [], "company": { "name": "Qwen Team", "originalName": "Qwen Team", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://chat.qwen.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://chat.qwen.ai/" } ], "news": [], "links": { "interactive": "products/qwen-chat--b97.html", "reading": "read/en/products/qwen-chat--b97.html", "markdown": "read/en/products/qwen-chat--b97.md", "json": "read/en/products/qwen-chat--b97.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b98", "language": "en", "name": "iFlow", "originalName": "心流", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [], "summary": "An AI assistant linking web answers, long-page summaries and writing outlines in one conversation.", "introduction": "iFlow provides AI conversation for knowledge questions, including web-connected answers and long-page summaries. After reading, users can request document outlines and writing directions to connect discovery with drafting. It serves work that repeatedly queries a topic, condenses material and prepares written structure.", "capabilities": [ { "title": "Web answers and page summaries", "description": "Answer questions using the web and condense long webpages into key points." }, { "title": "Reading to outlines", "description": "Organize a document structure and writing directions around the researched topic as a basis for drafting." } ], "company": { "name": "Youmai Network Technology (Hangzhou)", "originalName": "杭州优卖网络科技有限公司", "entities": [ { "name": "Youmai Network Technology (Hangzhou)", "originalName": "杭州优卖网络科技有限公司", "role": "service-provider", "roleLabel": "Service provider" }, { "name": "Xingchen Qianxun Technology (Hangzhou)", "originalName": "杭州星辰千寻科技有限公司", "role": "privacy-policy-entity", "roleLabel": "Entity named in the privacy policy" } ], "note": "Service provider: Youmai Network Technology (Hangzhou)； Entity named in the privacy policy: Xingchen Qianxun Technology (Hangzhou)", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://iflow.cn/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://iflow.cn/" } ], "news": [], "links": { "interactive": "products/product--b98.html", "reading": "read/en/products/product--b98.html", "markdown": "read/en/products/product--b98.md", "json": "read/en/products/product--b98.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b100", "language": "en", "name": "BigPPT", "originalName": "笔格AIPPT", "library": "tools", "category": "Presentations", "categoryKey": "演示文稿", "categoryKeys": [ "演示文稿" ], "categories": [ "Presentations" ], "entryPoints": [], "summary": "AI presentation creation from outlines to layouts, with whole-deck template, font and color changes.", "introduction": "BigPPT generates presentation outlines and content from topics or derives structure from imported documents. AI applies a chosen template, after which users edit content or change colors, fonts and styling across the deck. It serves work that starts with documents or reporting points and needs a clear structure before slide design.", "capabilities": [ { "title": "Topics and documents to outlines", "description": "Plan points from a topic or derive a presentation structure from imported local documents." }, { "title": "Whole-deck style changes", "description": "Apply AI layout with a template, then change the template, fonts or colors across the presentation." } ], "company": { "name": "Keshang Technology (Chengdu)", "originalName": "成都刻尚科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.bigppt.cn/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.bigppt.cn/" } ], "news": [], "links": { "interactive": "products/aippt--b100.html", "reading": "read/en/products/aippt--b100.html", "markdown": "read/en/products/aippt--b100.md", "json": "read/en/products/aippt--b100.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b102", "language": "en", "name": "SenseTime Xiaohuanxiong", "originalName": "商汤小浣熊", "library": "tools", "category": "AI office & writing", "categoryKey": "AI办公", "categoryKeys": [ "AI办公" ], "categories": [ "AI office & writing" ], "entryPoints": [], "summary": "SenseTime’s work assistant for research, data analysis and office deliverables.", "introduction": "SenseTime Xiaohuanxiong interprets work requests, calls tools and produces documents, data analyses or slides. Users can compare supplier materials, investigate an industry question or process business data into structured analyses and reports. The combined office and coding product adds local-file access and coding on desktop for workflows that take source material through to deliverables.", "capabilities": [ { "title": "Compare material and research", "description": "Read supplier documents, quotes or business material, extract comparison dimensions and organize research findings." }, { "title": "Data to work products", "description": "Process business data and produce documents or slides, with local files and coding also available on desktop." } ], "company": { "name": "Yuhuan Technology (Shanghai)", "originalName": "上海禹幻科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.xiaohuanxiong.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.xiaohuanxiong.com/" }, { "kind": "pricing", "url": "https://www.xiaohuanxiong.com/pricing" } ], "news": [], "links": { "interactive": "products/product--b102.html", "reading": "read/en/products/product--b102.html", "markdown": "read/en/products/product--b102.md", "json": "read/en/products/product--b102.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b652", "language": "en", "name": "Devin", "originalName": "Devin", "library": "tools", "category": "AI agent applications", "categoryKey": "智能体应用", "categoryKeys": [ "智能体应用", "编程开发" ], "categories": [ "AI agent applications", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "智能体应用", "category": "AI agent applications", "label": "Visit website", "url": "https://app.devin.ai/", "summary": "Delegate development tasks to a cloud agent using its terminal, editor and browser to write, run and test code." } ], "summary": "Delegate development tasks to a cloud agent using its terminal, editor and browser to write, run and test code.", "introduction": "Devin’s cloud service receives a repository and task goal, then implements features, reproduces bugs, edits code and runs tests in a hosted development environment. Users inspect terminal, IDE and browser activity, intervene and review deliverables. It targets engineering tasks with explicit acceptance criteria; results depend on project setup, permissions and complexity.", "capabilities": [], "company": { "name": "Cognition AI, Inc.", "originalName": "Cognition AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://app.devin.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://app.devin.ai/" }, { "kind": "documentation", "url": "https://devin.ai/" } ], "news": [], "links": { "interactive": "products/devin--b652.html", "reading": "read/en/products/devin--b652.html", "markdown": "read/en/products/devin--b652.md", "json": "read/en/products/devin--b652.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b656", "language": "en", "name": "OpenHands Agent Canvas", "originalName": "OpenHands Agent Canvas", "library": "tools", "category": "AI agent applications", "categoryKey": "智能体应用", "categoryKeys": [ "智能体应用", "编程开发" ], "categories": [ "AI agent applications", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "智能体应用", "category": "AI agent applications", "label": "Visit website", "url": "https://docs.openhands.dev/openhands/usage/agent-canvas/overview", "summary": "Connect coding agents to local, container or cloud backends in a self-hosted workspace for sessions and automations." } ], "summary": "Connect coding agents to local, container or cloud backends in a self-hosted workspace for sessions and automations.", "introduction": "OpenHands Agent Canvas is a self-hosted control workspace for coding agents. Run OpenHands or ACP-compatible agents on local, Docker, VM or cloud backends and inspect work through sessions. Automations integrate services such as GitHub, Slack and Linear. Agents, models, execution backends and service permissions require separate configuration.", "capabilities": [], "company": { "name": "OpenHands", "originalName": "OpenHands" }, "officialUrl": "https://docs.openhands.dev/openhands/usage/agent-canvas/overview", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://docs.openhands.dev/openhands/usage/agent-canvas/overview" }, { "kind": "documentation", "url": "https://docs.openhands.dev/openhands/usage/agent-canvas/backends" } ], "news": [], "links": { "interactive": "products/openhands-agent-canvas--b656.html", "reading": "read/en/products/openhands-agent-canvas--b656.html", "markdown": "read/en/products/openhands-agent-canvas--b656.md", "json": "read/en/products/openhands-agent-canvas--b656.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b663", "language": "en", "name": "goose", "originalName": "goose", "library": "tools", "category": "AI agent applications", "categoryKey": "智能体应用", "categoryKeys": [ "智能体应用", "编程开发" ], "categories": [ "AI agent applications", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "智能体应用", "category": "AI agent applications", "label": "Visit website", "url": "https://goose-docs.ai/", "summary": "A local open-source agent connecting models and MCP extensions for code, research, writing and data tasks." } ], "summary": "A local open-source agent connecting models and MCP extensions for code, research, writing and data tasks.", "introduction": "goose takes tasks through desktop, CLI or API and combines selected models with extensions to execute local workflows. Official uses include coding, research, writing, automation and data analysis. MCP extensions connect tools and data sources; execution depends on configured connections and permissions. The project is part of the Linux Foundation’s Agentic AI Foundation.", "capabilities": [], "company": { "name": "Agentic AI Foundation", "originalName": "Agentic AI Foundation" }, "officialUrl": "https://goose-docs.ai/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://goose-docs.ai/" } ], "news": [], "links": { "interactive": "products/goose--b663.html", "reading": "read/en/products/goose--b663.html", "markdown": "read/en/products/goose--b663.md", "json": "read/en/products/goose--b663.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b743", "language": "en", "name": "Zams", "originalName": "Zams", "library": "tools", "category": "AI agent applications", "categoryKey": "智能体应用", "categoryKeys": [ "智能体应用" ], "categories": [ "AI agent applications" ], "entryPoints": [], "summary": "Connect email, calendars, CRM and databases for agents retrieving context, tracking metrics and executing tasks across tools.", "introduction": "Zams gives business AI workers context from connected apps to research customers, analyze sales metrics and plan actions. Memory, multi-tool orchestration and schema context support meeting preparation, operations and record updates. Scope depends on connected tools and permissions, with results reviewed within business workflows.", "capabilities": [], "company": { "name": "Obviously AI, Inc.", "originalName": "Obviously AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://zams.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://zams.com/" } ], "news": [], "links": { "interactive": "products/zams--b743.html", "reading": "read/en/products/zams--b743.html", "markdown": "read/en/products/zams--b743.md", "json": "read/en/products/zams--b743.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b744", "language": "en", "name": "MindsHub", "originalName": "MindsHub", "library": "tools", "category": "AI agent applications", "categoryKey": "智能体应用", "categoryKeys": [ "智能体应用" ], "categories": [ "AI agent applications" ], "entryPoints": [], "summary": "Run research, analysis, content and coding in an agent workspace with selectable models and harnesses, using desktop or hosted access.", "introduction": "MindsHub combines desktop/web clients, an agent backend and data engine for knowledge work and coding. Choose models and providers and run locally, in a VPC or in the hosted app. A separate unified-inference service manages model access and usage. This entry opens the Agents workspace rather than treating the gateway as the same workflow.", "capabilities": [], "company": { "name": "MindsDB, Inc.", "originalName": "MindsDB, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://mindshub.ai/agents", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://mindshub.ai/agents" }, { "kind": "documentation", "url": "https://docs.mindshub.ai/" } ], "news": [], "links": { "interactive": "products/mindshub--b744.html", "reading": "read/en/products/mindshub--b744.html", "markdown": "read/en/products/mindshub--b744.md", "json": "read/en/products/mindshub--b744.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "suitable", "label": "Useful for", "text": "Useful when research must lead to a file or project. Specify the deliverable first.", "sourceUrls": [ "https://manus.im/about" ] }, { "key": "workflow", "label": "Suggested workflow", "text": "Provide goals, sources, output format and acceptance criteria; review milestones before continuing.", "sourceUrls": [ "https://manus.im/" ] }, { "key": "cost", "label": "Billing model", "text": "Complexity and duration affect credits. Start small; a task has no universal fixed price.", "sourceUrls": [ "https://help.manus.im/en/articles/11711097-what-are-the-rules-for-credits-consumption-and-how-can-i-obtain-them" ] }, { "key": "data", "label": "Data & permissions", "text": "Check account permissions and inputs before connecting services; review consequential submissions or payments.", "sourceUrls": [ "https://manus.im/terms" ] }, { "key": "limits", "label": "Before you start", "text": "Log in daily for 300 same-day credits; Free daily credits have a 1,500/month usage cap. Daily credits apply only to Manus 2.0 lite.", "sourceUrls": [ "https://help.manus.im/en/articles/11985189-what-should-i-do-if-my-daily-refresh-credits-have-not-refreshed", "https://help.manus.im/en/articles/11711097-what-are-the-rules-for-credits-consumption-and-how-can-i-obtain-them" ] } ] }, "id": "b104", "language": "en", "name": "Manus", "originalName": "Manus", "library": "tools", "category": "AI agent applications", "categoryKey": "智能体应用", "categoryKeys": [ "智能体应用" ], "categories": [ "AI agent applications" ], "entryPoints": [], "summary": "A general AI agent that plans and executes work in a virtual computer to deliver sites, slides and research.", "introduction": "Manus executes multistep work that produces files, websites or research. 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APIs cover versions, files, webhooks and deployments, with custom model publishing and supported training or fine-tuning. 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Check licensing and enterprise-feature scope for the deployed version.", "capabilities": [], "company": { "name": "BerriAI", "originalName": "BerriAI", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.litellm.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.litellm.ai/" }, { "kind": "documentation", "url": "https://docs.litellm.ai/" } ], "news": [], "links": { "interactive": "products/litellm--b696.html", "reading": "read/en/products/litellm--b696.html", "markdown": "read/en/products/litellm--b696.md", "json": "read/en/products/litellm--b696.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b697", "language": "en", "name": "Langfuse", "originalName": "Langfuse", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Trace agents and model calls, analyze cost and latency, and compare changes using prompt versions, datasets and evaluations.", "introduction": "Langfuse records models, retrieval and tools as traces and groups interactions into sessions to locate failures. 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Online scoring and pattern analysis highlight recurring issues; Loop helps investigate traces and build evaluations. SDKs and CLI connect projects, datasets, scorers and deployment workflows. 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Datasets and experiments compare outputs with application metrics and human feedback. Agent Optimizer iterates prompts and configurations, while online rules and PyTest integration connect evaluation to monitoring and commits. 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A white-background product photo can become scene images, model shots and videos, while other tools draft listings and analyze competitors or product opportunities. Agents and specialist skills organize these operations in one workflow.", "capabilities": [ { "title": "Product marketing assets", "description": "Generate scene images, model shots and videos from a product image." }, { "title": "Commerce analysis", "description": "Research products and competitors, draft listings and optimize advertising." } ], "company": { "name": "Zixun Information Technology (Xiamen)", "originalName": "厦门紫讯信息科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://ai.linkfox.com/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://ai.linkfox.com/" } ], "news": [], "links": { "interactive": "products/linkfox-ai--b180.html", "reading": "read/en/products/linkfox-ai--b180.html", "markdown": "read/en/products/linkfox-ai--b180.md", "json": "read/en/products/linkfox-ai--b180.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b183", "language": "en", "name": "Noiz AI", "originalName": "Noiz AI", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Generate speech, clone a voice and control emotional delivery.", "introduction": "Noiz AI combines text-to-speech, voice cloning and voice design. 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Users generate text and presentation outlines from a topic, rewrite or continue drafts, read long documents and process spreadsheet data. Writing, design, reading and data assistants organize these capabilities around different file workflows.", "capabilities": [ { "title": "Writing and presentations", "description": "Generate drafts, meeting outlines, reports and presentation outlines from a topic." }, { "title": "Reading and spreadsheets", "description": "Handle long-document reading, document understanding and spreadsheet analysis." } ], "company": { "name": "Kingsoft Office", "originalName": "Kingsoft Office", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://ai.wps.cn/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://ai.wps.cn/" } ], "news": [], "links": { "interactive": "products/wps-ai--b191.html", "reading": "read/en/products/wps-ai--b191.html", "markdown": "read/en/products/wps-ai--b191.md", "json": "read/en/products/wps-ai--b191.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b199", "language": "en", "name": "Neural4D", "originalName": "Neural4D", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Create 3D models, meshes and PBR materials from text and images.", "introduction": "Neural4D generates editable 3D models from descriptions, images or both. 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Official Speech 2.8 material directs users here for sound-tag synthesis and reference voices, while model documentation also routes music creators to Audio. 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The platform uses subject context to retrieve literature and offers continuation, correction and citation tools. 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Personal knowledge bases and MCP connections extend task context before generating reports, slides and videos. 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A semantic model connects business language to query logic, supporting cross-table analysis, attribution and forecasting. Data permissions, private deployment and system embedding let teams ask questions in their existing environment and trace the query process.", "capabilities": [ { "title": "Natural-language analytics", "description": "Ask by text or voice and receive charts and data explanations." }, { "title": "Traceable queries", "description": "Trace semantic interpretation and query logic within enterprise permissions." }, { "title": "Enterprise integration", "description": "Connect warehouses and embed analytics within internal systems." } ], "company": { "name": "Datarc", "originalName": "北极九章", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://datarc.cn/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://datarc.cn/" } ], "news": [], "links": { "interactive": "products/product--b210.html", "reading": "read/en/products/product--b210.html", "markdown": "read/en/products/product--b210.md", "json": "read/en/products/product--b210.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b212", "language": "en", "name": "Glif", "originalName": "Glif", "library": "tools", "category": "AI agent applications", "categoryKey": "智能体应用", "categoryKeys": [ "智能体应用" ], "categories": [ "AI agent applications" ], "entryPoints": [], "summary": "A creative agent that chains image, video and audio models in one chat.", "introduction": "Glif brings text, image, audio and video models into a single chat workspace. 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Developers define roles, goals, tools and tasks, then coordinate them in Crews. Flows manage events, state and branching and can invoke a Crew within a step. Knowledge, memory, human feedback and tracing help control execution. Choose the open-source framework or hosted services according to deployment needs.", "capabilities": [], "company": { "name": "CrewAI, Inc.", "originalName": "CrewAI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://docs.crewai.com/en/introduction", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://docs.crewai.com/en/introduction" }, { "kind": "documentation", "url": "https://www.crewai.com/" } ], "news": [], "links": { "interactive": "products/crewai--b674.html", "reading": "read/en/products/crewai--b674.html", "markdown": "read/en/products/crewai--b674.md", "json": "read/en/products/crewai--b674.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b675", "language": "en", "name": "Pydantic AI", "originalName": "Pydantic AI", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [], "summary": "Use Python types for model I/O and tools, combining agents, graph workflows, durable execution and evaluation.", "introduction": "Pydantic AI organizes model calls and tool loops through typed Python interfaces for structured applications and agents. It supports different models and web, terminal or background execution. Graph controls workflows; Evals examines outputs and tool trajectories. Harness adds composable memory, planning and persistence for developers embedding agents in their own systems.", "capabilities": [], "company": { "name": "Pydantic Services Inc.", "originalName": "Pydantic Services Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://pydantic.dev/docs/ai/overview/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://pydantic.dev/docs/ai/overview/" } ], "news": [], "links": { "interactive": "products/pydantic-ai--b675.html", "reading": "read/en/products/pydantic-ai--b675.html", "markdown": "read/en/products/pydantic-ai--b675.md", "json": "read/en/products/pydantic-ai--b675.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b677", "language": "en", "name": "Haystack", "originalName": "Haystack", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [], "summary": "Connect retrieval, routing, memory and generation components for RAG, semantic search and agent workflows.", "introduction": "Haystack is a Python AI orchestration framework. Developers connect document processing, retrieval and model generation into explicit pipelines, adding routing, memory and tools for agents. Uses include document QA, semantic search and multimodal applications. The open-source framework is separate from deepset’s enterprise support and platform services; deployment depends on configured models and storage.", "capabilities": [], "company": { "name": "deepset GmbH", "originalName": "deepset GmbH", "country": { "codes": [ "DE", "US" ], "names": [ "Germany", "United States" ], "display": "Germany / United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://haystack.deepset.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://haystack.deepset.ai/" }, { "kind": "documentation", "url": "https://docs.haystack.deepset.ai/" } ], "news": [], "links": { "interactive": "products/haystack--b677.html", "reading": "read/en/products/haystack--b677.html", "markdown": "read/en/products/haystack--b677.md", "json": "read/en/products/haystack--b677.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b678", "language": "en", "name": "smolagents", "originalName": "smolagents", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [], "summary": "Let agents express actions as code and call tools, connecting models, MCP and sandboxed execution environments.", "introduction": "smolagents is Hugging Face’s agent library. CodeAgent expresses task actions as executable code to combine tools and process results, alongside other tool-calling options. Developers select models, register tools and configure execution, using Hub resources and MCP connections. Supported sandbox environments can isolate execution, but activation and permissions require deployment configuration.", "capabilities": [], "company": { "name": "Hugging Face, Inc.", "originalName": "Hugging Face, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://huggingface.co/docs/smolagents/index", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://huggingface.co/docs/smolagents/index" } ], "news": [], "links": { "interactive": "products/smolagents--b678.html", "reading": "read/en/products/smolagents--b678.html", "markdown": "read/en/products/smolagents--b678.md", "json": "read/en/products/smolagents--b678.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b679", "language": "en", "name": "Microsoft Agent Framework", "originalName": "Microsoft Agent Framework", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [], "summary": "Build Python and .NET agents and multi-agent workflows with graph orchestration, human input and runtime state.", "introduction": "Microsoft Agent Framework connects models, tools and agents into applications. Sequential, concurrent, handoff and group graph patterns organize work, with durability, restartability, observability and human input for longer tasks. Official examples cover Python, .NET and deployment patterns, allowing provider and local or cloud hosting choices to follow system requirements.", "capabilities": [], "company": { "name": "Microsoft Corporation", "originalName": "Microsoft Corporation", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://learn.microsoft.com/en-us/agent-framework/overview/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://learn.microsoft.com/en-us/agent-framework/overview/" } ], "news": [], "links": { "interactive": "products/microsoft-agent-framework--b679.html", "reading": "read/en/products/microsoft-agent-framework--b679.html", "markdown": "read/en/products/microsoft-agent-framework--b679.md", "json": "read/en/products/microsoft-agent-framework--b679.json" } }, { "schemaVersion": "1.0", "updates": [ { "id": "official-release-b630-20261024", "importance": "changelog", "product": "LangGraph", "title": "LangGraph releases 1.2.17", "summary": "Fixes explicit recursion limits and namespace handling in RemoteGraph subgraph streams.", "originalPublishedOn": "2026-10-24", "source": "LangGraph", "sourceUrl": "https://github.com/langchain-ai/langgraph/releases/tag/1.2.17" } ], "companyNews": [], "id": "b630", "language": "en", "name": "LangGraph", "originalName": "LangGraph", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [], "summary": "Orchestrate stateful agents with nodes and branches, persistence, recovery, streaming and human review.", "introduction": "LangGraph is a low-level framework for stateful agents, with Python and JavaScript implementations. Developers define shared state, processing nodes and transition conditions, combining deterministic code with model decisions in one graph. Checkpoints and persistence save progress and support resumed execution; human review can inspect or change state at key steps. Models, tools and hosting must be supplied separately: this is a development framework rather than a ready-to-use chat application.", "capabilities": [], "company": { "name": "LangChain, Inc.", "originalName": "LangChain, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.langchain.com/langgraph", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.langchain.com/langgraph" }, { "kind": "documentation", "url": "https://docs.langchain.com/oss/python/langgraph/overview" } ], "news": [], "links": { "interactive": "products/langgraph--b630.html", "reading": "read/en/products/langgraph--b630.html", "markdown": "read/en/products/langgraph--b630.md", "json": "read/en/products/langgraph--b630.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b631", "language": "en", "name": "LlamaIndex Framework", "originalName": "LlamaIndex Framework", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [], "summary": "Connect documents, databases and APIs to language models for retrieval Q&A, structured extraction and data agents.", "introduction": "LlamaIndex Framework is an open-source toolkit for language-model applications over private or domain data. 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The story-centered workflow connects preproduction design with generation.", "capabilities": [ { "title": "Story-production workflow", "description": "Use natural language for scripts, storyboards and video generation." } ], "company": { "name": "Seko", "originalName": "Seko", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://seko.sensetime.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://seko.sensetime.com/" } ], "news": [], "links": { "interactive": "products/seko--b269.html", "reading": "read/en/products/seko--b269.html", "markdown": "read/en/products/seko--b269.md", "json": "read/en/products/seko--b269.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b270", "language": "en", "name": "Pebblely", "originalName": "Pebblely", "library": "tools", "category": "Marketing & commerce", "categoryKey": "营销电商", "categoryKeys": [ "营销电商" ], "categories": [ "Marketing & commerce" ], "entryPoints": [], "summary": "Place product photos in new scenes and generate marketing images in batches.", "introduction": "Pebblely generates product-marketing images from existing photos. Templates suggest backgrounds, surfaces and lighting for lifestyle scenes, while batch generation creates similar or varied settings. The workflow explores several visual presentations of one item for product and social content.", "capabilities": [ { "title": "Product scenes", "description": "Generate product backgrounds using templates and scene directions." }, { "title": "Batch background variants", "description": "Produce product photos with similar or varied backgrounds in batches." } ], "company": { "name": "Pebblely Pte Ltd", "originalName": "Pebblely Pte Ltd", "country": { "codes": [ "SG" ], "names": [ "Singapore" ], "display": "Singapore", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://pebblely.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://pebblely.com/" }, { "kind": "pricing", "url": "https://pebblely.com/pricing/" } ], "news": [], "links": { "interactive": "products/pebblely--b270.html", "reading": "read/en/products/pebblely--b270.html", "markdown": "read/en/products/pebblely--b270.md", "json": "read/en/products/pebblely--b270.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b271", "language": "en", "name": "V2Fun", "originalName": "V2Fun", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Generate 3D models, characters and animation from text or images.", "introduction": "V2Fun is an AI platform for 3D content creation. Images or text provide a starting point for models, characters and animation.", "capabilities": [ { "title": "3D generation", "description": "Generate models, characters and animation from images or text." } ], "company": { "name": "Jiding Digital Creation Technology (Shanghai)", "originalName": "极顶数创（上海）科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://v2fun.art/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://v2fun.art/" } ], "news": [], "links": { "interactive": "products/v2fun--b271.html", "reading": "read/en/products/v2fun--b271.html", "markdown": "read/en/products/v2fun--b271.md", "json": "read/en/products/v2fun--b271.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b273", "language": "en", "name": "iFLYTEK Tingjian", "originalName": "讯飞听见", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "Turn audio recordings into text using iFLYTEK speech recognition.", "introduction": "This iFLYTEK Tingjian entry focuses on converting recordings to text using iFLYTEK speech recognition. Submitted audio becomes readable text. The workflow brings interviews, lectures and other recordings into later reading and organization.", "capabilities": [ { "title": "Recording recognition", "description": "Convert speech and audio recordings into text." } ], "company": { "name": "Tingjian Technology (Anhui)", "originalName": "安徽听见科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.iflyrec.com/zhuanwenzi.html", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.iflyrec.com/zhuanwenzi.html" } ], "news": [], "links": { "interactive": "products/product--b273.html", "reading": "read/en/products/product--b273.html", "markdown": "read/en/products/product--b273.md", "json": "read/en/products/product--b273.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b278", "language": "en", "name": "Exa", "originalName": "Exa AI", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "Provide agents with web search, relevant excerpts and structured research results.", "introduction": "Exa provides web-search APIs for AI applications and agents across the web, news, companies and research. Developers choose faster retrieval or deeper research and receive relevant excerpts, structured outputs and citations. API and MCP access bring external information into model workflows for retrieval and automated research.", "capabilities": [ { "title": "Search and excerpts", "description": "Search web content and return excerpts relevant to the task." }, { "title": "Structured research", "description": "Configure search depth and receive structured outputs and citations." } ], "company": { "name": "Exa Labs Inc.", "originalName": "Exa Labs Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://dashboard.exa.ai/playground", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://dashboard.exa.ai/playground" } ], "news": [], "links": { "interactive": "products/exa-ai--b278.html", "reading": "read/en/products/exa-ai--b278.html", "markdown": "read/en/products/exa-ai--b278.md", "json": "read/en/products/exa-ai--b278.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b288", "language": "en", "name": "Mokker AI", "originalName": "Mokker AI", "library": "tools", "category": "Marketing & commerce", "categoryKey": "营销电商", "categoryKeys": [ "营销电商" ], "categories": [ "Marketing & commerce" ], "entryPoints": [], "summary": "Keep the product and replace its photographic setting with AI.", "introduction": "Mokker AI starts with an uploaded product photo and generates a replacement background around the subject. Users can explore several scenes for the same item to create new photographic visuals. The workflow reuses an existing product reference while changing its setting for marketing assets.", "capabilities": [ { "title": "Product background replacement", "description": "Upload a product photo and generate a new display background with AI." } ], "company": { "name": "zerolens GmbH", "originalName": "zerolens GmbH", "country": { "codes": [ "AT" ], "names": [ "Austria" ], "display": "Austria", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://mokker.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://mokker.ai/" }, { "kind": "pricing", "url": "https://mokker.ai/pricing" } ], "news": [], "links": { "interactive": "products/mokker-ai--b288.html", "reading": "read/en/products/mokker-ai--b288.html", "markdown": "read/en/products/mokker-ai--b288.md", "json": "read/en/products/mokker-ai--b288.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b291", "language": "en", "name": "MemoAI", "originalName": "MemoAI", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "Transcribe media, distinguish speakers and organize summaries and subtitles on desktop.", "introduction": "MemoAI for Windows and macOS transcribes YouTube, podcasts and local audio or video. Users distinguish speakers, segment clips and view live subtitles or floating notes during playback. Custom AI prompts generate transcript summaries, with subtitle or Markdown exports turning listening material into organized text.", "capabilities": [ { "title": "Transcription and speakers", "description": "Transcribe online or local media and distinguish speakers." }, { "title": "Summaries and outputs", "description": "Use custom prompts for summaries and export subtitles or Markdown." } ], "company": { "name": "Pemo LLC", "originalName": "Pemo LLC" }, "officialUrl": "https://memo.ac/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://memo.ac/" }, { "kind": "pricing", "url": "https://memo.ac/pricing" } ], "news": [], "links": { "interactive": "products/memoai--b291.html", "reading": "read/en/products/memoai--b291.html", "markdown": "read/en/products/memoai--b291.md", "json": "read/en/products/memoai--b291.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b303", "language": "en", "name": "Modao AI", "originalName": "墨刀AI", "library": "tools", "category": "Web & UI design", "categoryKey": "网页与UI设计", "categoryKeys": [ "网页与UI设计" ], "categories": [ "Web & UI design" ], "entryPoints": [], "summary": "Turn text, screenshots or sketches into editable web and app prototypes.", "introduction": "Modao AI generates web, app and tablet prototypes from text, screenshots or sketches. Users refine pages through conversation, continue editing in Modao, share them or inspect HTML/CSS. PRD generation, product research and requirements review connect prototyping with the wider product-design workflow.", "capabilities": [ { "title": "Reference-to-prototype", "description": "Generate pages from text, screenshots or sketches and refine them through chat." }, { "title": "Editing and handoff", "description": "Continue editing in Modao, share pages and inspect HTML/CSS." }, { "title": "Product documentation", "description": "Use PRD, research and requirements-review tools alongside product design." } ], "company": { "name": "Modao Keshi Technology (Beijing)", "originalName": "北京磨刀刻石科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://modao.cc/feature/ai.html", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://modao.cc/feature/ai.html" }, { "kind": "pricing", "url": "https://modao.cc/brand/pricing" } ], "news": [], "links": { "interactive": "products/ai--b303.html", "reading": "read/en/products/ai--b303.html", "markdown": "read/en/products/ai--b303.md", "json": "read/en/products/ai--b303.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b304", "language": "en", "name": "Cody Enterprise", "originalName": "Cody Enterprise", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Use local and remote code context for questions, edits and completion.", "introduction": "Cody is Sourcegraph’s AI coding assistant, using code search to bring local and remote repositories into model context. Users ask about the current file or selected code, generate changes and use completion, auto-edit and custom prompts. IDE and web entry points center the workflow on codebase understanding before writing or fixing code. Currently available to Sourcegraph Enterprise customers; Cody Free, Pro and Enterprise Starter access has ended.", "capabilities": [ { "title": "Codebase context", "description": "Search local and remote repositories for APIs, symbols and usage patterns." }, { "title": "Chat and code editing", "description": "Ask about files, generate edits and use completion and custom prompts." } ], "company": { "name": "Sourcegraph, Inc.", "originalName": "Sourcegraph, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://sourcegraph.com/cody", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://sourcegraph.com/cody" }, { "kind": "documentation", "url": "https://sourcegraph.com/docs" }, { "kind": "documentation", "url": "https://github.com/sourcegraph/docs" }, { "kind": "pricing", "url": "https://about.sourcegraph.com/pricing" } ], "news": [], "links": { "interactive": "products/cody--b304.html", "reading": "read/en/products/cody--b304.html", "markdown": "read/en/products/cody--b304.md", "json": "read/en/products/cody--b304.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b305", "language": "en", "name": "Atoms", "originalName": "Atoms", "library": "tools", "category": "Web & UI design", "categoryKey": "网页与UI设计", "categoryKeys": [ "网页与UI设计" ], "categories": [ "Web & UI design" ], "entryPoints": [], "summary": "AI employees collaborate on idea validation, websites and applications.", "introduction": "Atoms uses AI employees for website and application creation. Starting from a product idea, agents work on validation, building and customer-acquisition tasks. Listed examples include SaaS landing pages, brand sites and games, connecting business concepts with software production.", "capabilities": [ { "title": "Product building", "description": "Use AI employees to build websites and apps from an idea." }, { "title": "Validation and acquisition", "description": "Include idea validation and customer-acquisition work in the product workflow." } ], "company": { "name": "MetaGPT LLC", "originalName": "MetaGPT LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://atoms.dev/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://atoms.dev/" }, { "kind": "pricing", "url": "https://atoms.dev/pricing" } ], "news": [], "links": { "interactive": "products/atoms--b305.html", "reading": "read/en/products/atoms--b305.html", "markdown": "read/en/products/atoms--b305.md", "json": "read/en/products/atoms--b305.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b310", "language": "en", "name": "Gemma", "originalName": "Gemma", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [ { "kind": "docs", "categoryKey": "模型开发", "category": "Model development", "label": "Model docs", "url": "https://ai.google.dev/gemma", "summary": "An open-model family for AI applications in the cloud, on computers and devices." } ], "summary": "An open-model family for AI applications in the cloud, on computers and devices.", "introduction": "Gemma is Google’s open-model family for developers building and deploying AI applications. General models and specialist variants for embeddings, medical tasks and content safety offer different configurations for execution needs. Official documentation links platforms such as Kaggle, Hugging Face and Ollama with major frameworks for cloud or on-device use.", "capabilities": [ { "title": "Open models and variants", "description": "Choose general models or specialist variants for embeddings, medical tasks and safety." }, { "title": "Frameworks and deployment", "description": "Use documentation and integrated platforms to configure cloud or on-device execution." } ], "company": { "name": "Google LLC", "originalName": "Google LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://ai.google.dev/gemma", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://ai.google.dev/gemma" } ], "news": [], "links": { "interactive": "products/gemma--b310.html", "reading": "read/en/products/gemma--b310.html", "markdown": "read/en/products/gemma--b310.md", "json": "read/en/products/gemma--b310.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b311", "language": "en", "name": "Tencent Zhuque AI Detector", "originalName": "朱雀AI检测", "library": "tools", "category": "Content analysis", "categoryKey": "内容检测", "categoryKeys": [ "内容检测" ], "categories": [ "Content analysis" ], "entryPoints": [], "summary": "Check text and images for signs of AI generation.", "introduction": "Tencent Zhuque AI Detector covers both text and image content. Its detection interface helps users examine material for signs of AI generation.", "capabilities": [ { "title": "Text and image detection", "description": "Check written and visual material for possible AI generation." } ], "company": { "name": "Tencent Zhuque Lab", "originalName": "腾讯朱雀实验室", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://matrix.tencent.com/ai-detect/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://matrix.tencent.com/ai-detect/" } ], "news": [], "links": { "interactive": "products/ai--b311.html", "reading": "read/en/products/ai--b311.html", "markdown": "read/en/products/ai--b311.md", "json": "read/en/products/ai--b311.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b314", "language": "en", "name": "Bocha", "originalName": "博查AI搜索", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "Search information in natural language and supply search APIs to AI apps.", "introduction": "Bocha combines user-facing multimodal AI search with search APIs for developers. Specialist agents handle natural-language requests for restaurants, hotels, attractions, flights and academic material. Developers integrate results into models or agents, connecting standalone search with in-app retrieval.", "capabilities": [ { "title": "Specialist search agents", "description": "Find travel, location and academic information through natural-language requests." }, { "title": "Search API", "description": "Retrieve external search results for AI applications." } ], "company": { "name": "Bocha Search Technology (Hangzhou)", "originalName": "杭州博查搜索科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://bochaai.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://bochaai.com/" } ], "news": [], "links": { "interactive": "products/ai--b314.html", "reading": "read/en/products/ai--b314.html", "markdown": "read/en/products/ai--b314.md", "json": "read/en/products/ai--b314.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b316", "language": "en", "name": "GAIPPT", "originalName": "GAIPPT", "library": "tools", "category": "Presentations", "categoryKey": "演示文稿", "categoryKeys": [ "演示文稿" ], "categories": [ "Presentations" ], "entryPoints": [], "summary": "Analyze presentation structure, then generate or redesign slides.", "introduction": "GAIPPT analyzes the logic and structure of presentation content and uses it to revise layouts. Users upload an existing PPT for redesign or generate a new deck from a short request or document. Content interpretation and visual organization support both first drafts and revisions.", "capabilities": [ { "title": "PPT redesign", "description": "Analyze content structure and reorganize slide layouts." }, { "title": "Text and document generation", "description": "Generate a presentation from a short request or uploaded document." } ], "company": { "name": "Shaoke Technology (Hangzhou)", "originalName": "杭州少刻科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.gaippt.com/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.gaippt.com/" } ], "news": [], "links": { "interactive": "products/gaippt--b316.html", "reading": "read/en/products/gaippt--b316.html", "markdown": "read/en/products/gaippt--b316.md", "json": "read/en/products/gaippt--b316.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b324", "language": "en", "name": "Tushengsheng", "originalName": "图生生", "library": "tools", "category": "Marketing & commerce", "categoryKey": "营销电商", "categoryKeys": [ "营销电商" ], "categories": [ "Marketing & commerce" ], "entryPoints": [], "summary": "Produce commerce product images, model shots, posters and videos in batches.", "introduction": "Tushengsheng takes product material into AI marketing-image production for merchants, designers and operations teams. Tools cover product replacement, model and background changes, posters, batch cutouts, enlargement, recoloring and image expansion. Image-to-video turns static product material into motion for listings and campaigns.", "capabilities": [ { "title": "Product visual editing", "description": "Edit products, models, backgrounds and colors for posters and scene images." }, { "title": "Batch and moving assets", "description": "Batch-remove backgrounds, enlarge images and turn product images into video." } ], "company": { "name": "Yiyan Wanxiang Network Technology (Nanjing)", "originalName": "南京一言万相网络科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://tushengsheng.com/home", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://tushengsheng.com/home" } ], "news": [], "links": { "interactive": "products/product--b324.html", "reading": "read/en/products/product--b324.html", "markdown": "read/en/products/product--b324.md", "json": "read/en/products/product--b324.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b329", "language": "en", "name": "GPTZero", "originalName": "GPTZero", "library": "tools", "category": "Content analysis", "categoryKey": "内容检测", "categoryKeys": [ "内容检测" ], "categories": [ "Content analysis" ], "entryPoints": [], "summary": "Analyze possible AI writing alongside writing-process replay and plagiarism checks.", "introduction": "GPTZero analyzes pasted text or uploaded documents for AI-generation signals and highlights relevant passages. Users inspect document- and sentence-level results alongside plagiarism checks and writing feedback. Writing Replay in its Google Docs extension shows how a document developed, adding process information to the text analysis.", "capabilities": [ { "title": "Document and sentence analysis", "description": "Paste or upload text and inspect highlighted passages." }, { "title": "Writing-process replay", "description": "Use the Google Docs extension to view how a document was written." }, { "title": "Writing-quality tools", "description": "Continue editing with plagiarism checks and writing feedback." } ], "company": { "name": "GPTZero Inc.", "originalName": "GPTZero Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://gptzero.me/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://gptzero.me/" }, { "kind": "pricing", "url": "https://gptzero.me/pricing" } ], "news": [], "links": { "interactive": "products/gptzero--b329.html", "reading": "read/en/products/gptzero--b329.html", "markdown": "read/en/products/gptzero--b329.md", "json": "read/en/products/gptzero--b329.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b332", "language": "en", "name": "Lianqi AI", "originalName": "链企AI", "library": "tools", "category": "Search & research", "categoryKey": "搜索研究", "categoryKeys": [ "搜索研究" ], "categories": [ "Search & research" ], "entryPoints": [], "summary": "Search companies and tenders, then create investigation reports and bids.", "introduction": "Lianqi AI combines business search with long-form generation. Users query ownership, risks, financing, intellectual property and tenders to prepare company research. Bid writing organizes text and visual material around requirements, connecting commercial search with tender drafting.", "capabilities": [ { "title": "Company research", "description": "Query companies, ownership, risks and tenders and generate reports." }, { "title": "AI bid drafting", "description": "Organize long-form text and visual material around bid requirements." } ], "company": { "name": "Lianqi AI Technology (Zhejiang)", "originalName": "浙江链企智能技术有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.lianqiai.cn/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.lianqiai.cn/" } ], "news": [], "links": { "interactive": "products/ai--b332.html", "reading": "read/en/products/ai--b332.html", "markdown": "read/en/products/ai--b332.md", "json": "read/en/products/ai--b332.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b335", "language": "en", "name": "iFLYTEK Spark Knowledge Base", "originalName": "讯飞星火知识库", "library": "tools", "category": "Knowledge management", "categoryKey": "知识管理", "categoryKeys": [ "知识管理" ], "categories": [ "Knowledge management" ], "entryPoints": [], "summary": "Question and summarize multiple documents with source locations.", "introduction": "iFLYTEK Spark Knowledge Base provides document questions using Spark models. Users organize multiple files into a knowledge base, retrieve information, ask questions and generate summaries. Custom splitting and original-source locations help navigate the material and the evidence behind answers.", "capabilities": [ { "title": "Multi-document questions", "description": "Search, question and summarize material within one knowledge base." }, { "title": "Source locations", "description": "Locate original passages and customize document splitting." } ], "company": { "name": "iFLYTEK", "originalName": "科大讯飞股份有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://chatdoc.xfyun.cn/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://chatdoc.xfyun.cn/" } ], "news": [], "links": { "interactive": "products/product--b335.html", "reading": "read/en/products/product--b335.html", "markdown": "read/en/products/product--b335.md", "json": "read/en/products/product--b335.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b339", "language": "en", "name": "Homestyler", "originalName": "居然设计家", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Combine AI and 3D for interior design and home-product visuals.", "introduction": "Homestyler provides AI design tools for interior designers and DIY users, combining 3D and VR technologies. It also offers scene, product-photography and AIGC visual solutions for home businesses, connecting spatial design with home-content production.", "capabilities": [ { "title": "Spatial and product visuals", "description": "Use AI design tools for spatial concepts and home-product marketing visuals." } ], "company": { "name": "Easyhome Shejijia Technology (Shanghai)", "originalName": "居然设计家（上海）科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.shejijia.com/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.shejijia.com/" } ], "news": [], "links": { "interactive": "products/product--b339.html", "reading": "read/en/products/product--b339.html", "markdown": "read/en/products/product--b339.md", "json": "read/en/products/product--b339.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b340", "language": "en", "name": "Qodo", "originalName": "Qodo", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Review code using repository context, PR history and team standards.", "introduction": "Qodo, formerly CodiumAI, focuses on AI code review and quality governance. It brings codebase context, PR history and business requirements into reviews and turns team knowledge into rules and skills. Cross-repository checks and a software map help reveal change impact across project dependencies.", "capabilities": [ { "title": "Contextual code review", "description": "Review changes using repositories, PR history and business requirements." }, { "title": "Rules and cross-repository checks", "description": "Apply team standards and check how changes affect other repositories." } ], "company": { "name": "Codium Ltd.", "originalName": "Codium Ltd.", "country": { "codes": [ "IL" ], "names": [ "Israel" ], "display": "Israel", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.codium.ai/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.codium.ai/" }, { "kind": "documentation", "url": "https://docs.qodo.ai/qodo-documentation" }, { "kind": "documentation", "url": "https://docs.qodo.ai/governance/rule-enforcement/rule-miner" }, { "kind": "pricing", "url": "https://www.qodo.ai/pricing/" } ], "news": [], "links": { "interactive": "products/codiumai--b340.html", "reading": "read/en/products/codiumai--b340.html", "markdown": "read/en/products/codiumai--b340.md", "json": "read/en/products/codiumai--b340.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b342", "language": "en", "name": "WeShop", "originalName": "WeShop唯象", "library": "tools", "category": "Marketing & commerce", "categoryKey": "营销电商", "categoryKeys": [ "营销电商" ], "categories": [ "Marketing & commerce" ], "entryPoints": [], "summary": "Create AI models, virtual try-on, product photography and videos from product images.", "introduction": "WeShop starts from uploaded product images and generates displays with chosen AI models and photography settings. Tools include virtual try-on, pose changes, recoloring, background processing and enhancement, plus image-to-video. Its workflow explores how a product appears across models, environments and media for commerce.", "capabilities": [ { "title": "Models and virtual try-on", "description": "Display clothing on AI models and adjust poses or try-on results." }, { "title": "Product images and videos", "description": "Edit backgrounds, colors and clarity and generate product videos." } ], "company": { "name": "Shiqu Information Technology (Hangzhou)", "originalName": "杭州时趣信息技术有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.weshop.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.weshop.com/" } ], "news": [], "links": { "interactive": "products/weshop--b342.html", "reading": "read/en/products/weshop--b342.html", "markdown": "read/en/products/weshop--b342.md", "json": "read/en/products/weshop--b342.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b343", "language": "en", "name": "Hedra", "originalName": "Hedra", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Visual AI inference, training, GPU environments and a no-code creative studio.", "introduction": "Hedra combines visual models with the infrastructure to run them. Developers use a unified API to submit image, video and audio jobs, query their status and retrieve outputs, alongside training and GPU sandboxes. Creators iterate on images and videos in a no-code studio, joining direct production and developer integration in one platform.", "capabilities": [ { "title": "Unified generation API", "description": "Submit image, video and audio jobs, query progress and retrieve outputs." }, { "title": "Training and GPU environments", "description": "Use training tools and isolated GPU environments for model work." }, { "title": "No-code studio", "description": "Generate and iterate on images and videos in a creative workspace." } ], "company": { "name": "Hedra Inc.", "originalName": "Hedra Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.hedra.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.hedra.com/" }, { "kind": "documentation", "url": "https://www.hedra.com/docs/pages/developer/v3/quickstart" }, { "kind": "documentation", "url": "https://www.hedra.com/docs" }, { "kind": "pricing", "url": "https://www.hedra.com/pricing" } ], "news": [], "links": { "interactive": "products/hedra--b343.html", "reading": "read/en/products/hedra--b343.html", "markdown": "read/en/products/hedra--b343.md", "json": "read/en/products/hedra--b343.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b346", "language": "en", "name": "StudyCorgi ChatGPT Detector", "originalName": "StudyCorgi ChatGPT Detector", "library": "tools", "category": "Content analysis", "categoryKey": "内容检测", "categoryKeys": [ "内容检测" ], "categories": [ "Content analysis" ], "entryPoints": [], "summary": "Analyze text with word-prediction probabilities and color highlights.", "introduction": "StudyCorgi ChatGPT Detector accepts article text and an optional topic or description. Results use a bar chart and word colors to show how likely a generator would use the wording in a similar context. Clicking a word reveals its probability and alternatives, connecting the overall distribution with individual phrasing.", "capabilities": [ { "title": "Probability distribution", "description": "View a bar chart showing word proportions across prediction-probability ranges." }, { "title": "Word-level color analysis", "description": "Click highlighted words to inspect probabilities and possible alternatives." } ], "company": { "name": "StudyCorgi.com", "originalName": "StudyCorgi.com", "country": { "codes": [ "EE" ], "names": [ "Estonia" ], "display": "Estonia", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://studycorgi.com/free-writing-tools/chat-gpt-detector", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://studycorgi.com/free-writing-tools/chat-gpt-detector" } ], "news": [], "links": { "interactive": "products/studycorgi-chatgpt-detector--b346.html", "reading": "read/en/products/studycorgi-chatgpt-detector--b346.html", "markdown": "read/en/products/studycorgi-chatgpt-detector--b346.md", "json": "read/en/products/studycorgi-chatgpt-detector--b346.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b359", "language": "en", "name": "PixGT", "originalName": "PixGT", "library": "tools", "category": "Marketing & commerce", "categoryKey": "营销电商", "categoryKeys": [ "营销电商" ], "categories": [ "Marketing & commerce" ], "entryPoints": [], "summary": "Turn product cutouts into image sets, model try-ons and accessory displays.", "introduction": "PixGT provides AI visual generation for cross-border product listings. A single product cutout can become a set of main, scene, handheld, detail and feature images, with clothing try-on, model replacement and accessory displays. Batch processing, color variants, background tools and enhancement adapt one item to different presentation needs.", "capabilities": [ { "title": "Product image sets", "description": "Generate main, scene, handheld, detail and feature images from a product reference." }, { "title": "Try-on and model replacement", "description": "Create clothing try-on, model replacements and accessory-wearing visuals." }, { "title": "Batch visual processing", "description": "Produce assets in batches and adjust backgrounds, colors and clarity." } ], "company": { "name": "Bianliang Dingyi Technology (Shenzhen)", "originalName": "深圳变量定义科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.pixgt.cn/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.pixgt.cn/" } ], "news": [], "links": { "interactive": "products/pixgt--b359.html", "reading": "read/en/products/pixgt--b359.html", "markdown": "read/en/products/pixgt--b359.md", "json": "read/en/products/pixgt--b359.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b361", "language": "en", "name": "Lyrics Into Song AI", "originalName": "Lyrics Into Song AI", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Generate arranged songs from lyrics and a musical direction.", "introduction": "Supply written lyrics to generate a song with melody, harmony and arrangement. The creation form accepts a title, style and lyrics, with an instrumental option. Describe genre, mood, vocals and tempo to explore different musical treatments of the same words.", "capabilities": [], "company": { "name": "ARTFUSION INNOVATIONS LTD", "originalName": "ARTFUSION INNOVATIONS LTD", "country": { "codes": [ "GB" ], "names": [ "United Kingdom" ], "display": "United Kingdom", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://lyricsintosong.ai/zh", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://lyricsintosong.ai/zh" }, { "kind": "pricing", "url": "https://lyricsintosong.ai/zh/pricing" } ], "news": [], "links": { "interactive": "products/lyrics-into-song-ai--b361.html", "reading": "read/en/products/lyrics-into-song-ai--b361.html", "markdown": "read/en/products/lyrics-into-song-ai--b361.md", "json": "read/en/products/lyrics-into-song-ai--b361.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b363", "language": "en", "name": "AISEO AI Content Detector", "originalName": "AISEO AI Content Detector", "library": "tools", "category": "Content analysis", "categoryKey": "内容检测", "categoryKeys": [ "内容检测" ], "categories": [ "Content analysis" ], "entryPoints": [], "summary": "Inspect possible AI-writing patterns sentence by sentence.", "introduction": "Paste text or upload a file to analyze patterns associated with AI-generated writing. Sentence-level results help locate passages for closer reading and contextual review. The tool supports draft and content review; its score expresses a likelihood rather than identifying an author.", "capabilities": [], "company": { "name": "AISEO, Inc.", "originalName": "AISEO, Inc." }, "officialUrl": "https://aiseo.ai/tools/ai-content-detector.html", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://aiseo.ai/tools/ai-content-detector.html" }, { "kind": "pricing", "url": "https://aiseo.ai/pricing" } ], "news": [], "links": { "interactive": "products/aiseo-ai-content-detector--b363.html", "reading": "read/en/products/aiseo-ai-content-detector--b363.html", "markdown": "read/en/products/aiseo-ai-content-detector--b363.md", "json": "read/en/products/aiseo-ai-content-detector--b363.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b370", "language": "en", "name": "AskTable", "originalName": "察言观数AskTable", "library": "tools", "category": "Data analysis", "categoryKey": "数据分析", "categoryKeys": [ "数据分析" ], "categories": [ "Data analysis" ], "entryPoints": [], "summary": "Explore enterprise data through natural-language analysis.", "introduction": "AskTable provides data agents around enterprise tables and business metrics. Users can explore inventory, sales and business attribution through natural-language questions. Its workflow brings data connections, AI analysis, queries and visualization together for operational analysis and data questions.", "capabilities": [], "company": { "name": "Chayan Guanshu", "originalName": "察言观数", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.asktable.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.asktable.com/" }, { "kind": "documentation", "url": "https://docs.asktable.com/docs/appendix/terms-of-service" }, { "kind": "documentation", "url": "https://docs.asktable.com/docs/appendix/privacy-policy" }, { "kind": "pricing", "url": "https://www.asktable.com/zh-CN/pricing" } ], "news": [], "links": { "interactive": "products/asktable--b370.html", "reading": "read/en/products/asktable--b370.html", "markdown": "read/en/products/asktable--b370.md", "json": "read/en/products/asktable--b370.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b372", "language": "en", "name": "Kaopu AI", "originalName": "靠谱AI", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [], "summary": "Combine multi-model chat, image generation and task assistants.", "introduction": "Kaopu AI combines models such as ERNIE, Zhipu and iFlytek Spark for chat and image generation. Preset assistants cover learning, consultation and planning, alongside no-code AI bot creation. Users can start with an existing assistant or create a bot for a particular situation.", "capabilities": [], "company": { "name": "Kaopu Qiancheng AI Technology (Beijing)", "originalName": "北京靠谱前程智能科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.kaopuai.com/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.kaopuai.com/" } ], "news": [], "links": { "interactive": "products/ai--b372.html", "reading": "read/en/products/ai--b372.html", "markdown": "read/en/products/ai--b372.md", "json": "read/en/products/ai--b372.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b374", "language": "en", "name": "CodeFlying", "originalName": "码上飞", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Build applications from Chinese-language descriptions.", "introduction": "CodeFlying generates applications from Chinese-language descriptions, including WeChat mini programs, mobile apps and H5 websites. Its listed targets also include HarmonyOS atomic services, Android and iOS. The product centers on turning an app idea into an application and also offers AI operations and customer-service capabilities.", "capabilities": [], "company": { "name": "Kuafu Technology (Beijing)", "originalName": "北京跨赴科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.codeflying.net/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.codeflying.net/" } ], "news": [], "links": { "interactive": "products/product--b374.html", "reading": "read/en/products/product--b374.html", "markdown": "read/en/products/product--b374.md", "json": "read/en/products/product--b374.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b377", "language": "en", "name": "Viggle", "originalName": "Viggle", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Create character animation from images and motion references.", "introduction": "Viggle offers character swapping, motion capture and animation tools. Meme Maker replaces one or multiple characters in video, while PINOC converts movement in phone footage into 3D character motion. Creators can use reference footage to develop character clips, social content or motion assets for game-animation workflows.", "capabilities": [ { "title": "Game-animation workflow", "description": "PINOC character motion can be exported to existing game engines for subsequent animation work." } ], "company": { "name": "WarpEngine Canada Inc.", "originalName": "WarpEngine Canada Inc.", "country": { "codes": [ "CA" ], "names": [ "Canada" ], "display": "Canada", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://viggle.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://viggle.ai/" }, { "kind": "documentation", "url": "https://docs.viggle.ai/v1/introduction" }, { "kind": "pricing", "url": "https://viggle.ai/pricing" } ], "news": [], "links": { "interactive": "products/viggle--b377.html", "reading": "read/en/products/viggle--b377.html", "markdown": "read/en/products/viggle--b377.md", "json": "read/en/products/viggle--b377.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b385", "language": "en", "name": "Miaopian AI PPT", "originalName": "秒篇AIPPT", "library": "tools", "category": "Presentations", "categoryKey": "演示文稿", "categoryKeys": [ "演示文稿" ], "categories": [ "Presentations" ], "entryPoints": [], "summary": "Turn topics and source materials into presentations and speaker scripts.", "introduction": "Miaopian AI PPT creates presentations from topics, Word, PDF, web links or pasted text. It extracts and organizes source material into an outline and template-based pages whose structure can be adjusted. It can also generate a speaker script from an existing presentation for reports, teaching and proposal delivery.", "capabilities": [], "company": { "name": "Zhiwei Chuangxiang Technology (Beijing)", "originalName": "北京智未创想科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://qzoffice.com/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://qzoffice.com/" } ], "news": [], "links": { "interactive": "products/product--b385.html", "reading": "read/en/products/product--b385.html", "markdown": "read/en/products/product--b385.md", "json": "read/en/products/product--b385.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b386", "language": "en", "name": "SmartRead", "originalName": "司马阅", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [], "summary": "Build role-specific enterprise agents around document intelligence.", "introduction": "SmartRead builds enterprise agents around its DocMind document-intelligence model and existing business information. Its offering combines agent products, implementation coaching and FDE delivery for specific roles and operational settings. Organizations can begin with an agent product and extend into implementation work that connects document data with business processes.", "capabilities": [], "company": { "name": "SmartRead", "originalName": "司马阅 SmartRead", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://smartread.cc/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://smartread.cc/" } ], "news": [], "links": { "interactive": "products/product--b386.html", "reading": "read/en/products/product--b386.html", "markdown": "read/en/products/product--b386.md", "json": "read/en/products/product--b386.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b388", "language": "en", "name": "AskCc", "originalName": "AskCc", "library": "tools", "category": "Careers & hiring", "categoryKey": "求职招聘", "categoryKeys": [ "求职招聘" ], "categories": [ "Careers & hiring" ], "entryPoints": [], "summary": "Generate interview response suggestions from your resume and target role.", "introduction": "AskCc combines a resume, job description, personal knowledge and live questions to suggest interview responses. It recognizes spoken questions and can analyze a screenshot to break a problem into steps. 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AI analyzes the article's meaning, organizes sections and matches images and templates for WeChat articles or long promotional graphics. 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Portrait applications cover hairstyles, clothing, retouching, portraits and lighting adjustments. Creative editing and model-access options extend its visual capabilities into image, video and design workflows.", "capabilities": [], "company": { "name": "Meitu Zhijia Technology (Xiamen)", "originalName": "厦门美图之家科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.miraclevision.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.miraclevision.com/" } ], "news": [], "links": { "interactive": "products/miraclevision--b396.html", "reading": "read/en/products/miraclevision--b396.html", "markdown": "read/en/products/miraclevision--b396.md", "json": "read/en/products/miraclevision--b396.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b397", "language": "en", "name": "Writecream AI Content Detector", "originalName": "Writecream AI Content Detector", "library": "tools", "category": "Content analysis", "categoryKey": "内容检测", "categoryKeys": [ "内容检测" ], "categories": [ "Content analysis" ], "entryPoints": [], "summary": "Check writing for patterns associated with AI-generated text.", "introduction": "Writecream AI Content Detector is a web-based text checker for patterns associated with human and AI writing. Submitting writing produces an assessment related to content originality. It is a detection tool within Writecream's wider collection and focuses on reviewing existing text rather than generating an article.", "capabilities": [], "company": { "name": "Kridee Innovations Private Limited", "originalName": "Kridee Innovations Private Limited", "country": { "codes": [ "IN" ], "names": [ "India" ], "display": "India", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.writecream.com/ai-content-detector", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.writecream.com/ai-content-detector" } ], "news": [], "links": { "interactive": "products/writecream-ai-content-detector--b397.html", "reading": "read/en/products/writecream-ai-content-detector--b397.html", "markdown": "read/en/products/writecream-ai-content-detector--b397.md", "json": "read/en/products/writecream-ai-content-detector--b397.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b398", "language": "en", "name": "Reading Coach", "originalName": "Reading Coach", "library": "tools", "category": "Learning", "categoryKey": "教育学习", "categoryKeys": [ "教育学习" ], "categories": [ "Learning" ], "entryPoints": [], "summary": "Practice reading with generated stories, leveled passages and word exercises.", "introduction": "Microsoft Reading Coach lets learners practice with AI-generated stories or leveled ReadWorks passages. 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Configure inputs and outputs such as text, images and audio to wrap model inference in an interactive application. 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Image work includes cutouts, AI models, product editing and coordinated assets, with a short-video creation option. Its workflows are organized around commerce presentations for Amazon, Temu, AliExpress and independent stores.", "capabilities": [], "company": { "name": "Lucky Days Co. LTD", "originalName": "Lucky Days Co. 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Its Start Chat entry leads to a user interface for natural-language questions and work with text or images. The site describes retrieval-assisted knowledge questions and image creation. 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Its listed directions include assisted writing, AI copy and AI forms.", "capabilities": [], "company": { "name": "Zhongwang Eqxiu Technology (Beijing)", "originalName": "北京中网易企秀科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://ai.eqxiu.com/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://ai.eqxiu.com/" } ], "news": [], "links": { "interactive": "products/ai--b440.html", "reading": "read/en/products/ai--b440.html", "markdown": "read/en/products/ai--b440.md", "json": "read/en/products/ai--b440.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b441", "language": "en", "name": "Douhui AI", "originalName": "豆绘AI", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Combine AI image editing, canvas work, video and 3D creation.", "introduction": "Douhui AI offers text-to-image, repainting, image editing and prompt expansion or reverse prompting. Images can be refined through editing tools, with layered PSD export, agent creation and commerce image sets. An infinite canvas organizes text, images and video, alongside separate video and image-to-3D workspaces.", "capabilities": [], "company": { "name": "Douhui AI", "originalName": "豆绘AI", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.douhuiai.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.douhuiai.com/" } ], "news": [], "links": { "interactive": "products/ai--b441.html", "reading": "read/en/products/ai--b441.html", "markdown": "read/en/products/ai--b441.md", "json": "read/en/products/ai--b441.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b444", "language": "en", "name": "Paopao AI", "originalName": "泡泡AI", "library": "tools", "category": "Marketing & commerce", "categoryKey": "营销电商", "categoryKeys": [ "营销电商" ], "categories": [ "Marketing & commerce" ], "entryPoints": [], "summary": "Turn product photos into scenes, try-ons and AI model imagery.", "introduction": "Paopao AI starts from product or clothing reference images to generate scenes, virtual try-ons and AI model imagery. Choose a capability, describe the intended result, then edit, download or save the output in the asset center. The product connects reference material, generation and previous-work management for recurring commerce image production.", "capabilities": [], "company": { "name": "Lingwan Technology (Shenzhen)", "originalName": "深圳市灵玩科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://paopaoai.art/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://paopaoai.art/" } ], "news": [], "links": { "interactive": "products/ai--b444.html", "reading": "read/en/products/ai--b444.html", "markdown": "read/en/products/ai--b444.md", "json": "read/en/products/ai--b444.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b446", "language": "en", "name": "Uberduck", "originalName": "Uberduck", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Produce synthetic vocals through speech and voice tools.", "introduction": "Uberduck combines text-to-speech, AI vocals, voice conversion and voice cloning. 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Enterprises can combine them for Q&A, search and document understanding, alongside North, Compass and document-processing tools. Dedicated inference and private deployment options support applications built around internal enterprise information.", "capabilities": [], "company": { "details": { "facts": [ { "key": "website", "label": "Company website", "value": "https://cohere.com/" }, { "key": "founded", "label": "Founded", "value": "2019" }, { "key": "founders", "label": "Founders", "value": "Aidan Gomez · Nick Frosst · Ivan Zhang" }, { "key": "focus", "label": "Business focus", "value": "Develops enterprise language models, retrieval and reranking technology, and agent products for AI deployments on business data." } ], "otherProducts": [] }, "name": "Cohere Inc.", "originalName": "Cohere Inc.", "country": { "codes": [ "CA", "US" ], "names": [ "Canada", "United States" ], "display": "Canada / United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://dashboard.cohere.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://dashboard.cohere.com/" }, { "kind": "documentation", "url": "https://docs.cohere.com/v2/docs/models" }, { "kind": "documentation", "url": "https://docs.cohere.com/v2/reference/chat" }, { "kind": "pricing", "url": "https://cohere.com/pricing" } ], "news": [ { "id": "cohere-embed5-20260930", "importance": "major", "product": "Cohere", "title": "Cohere releases Embed 5 Pro and Fast with shared embeddings", "summary": "Embed 5 offers Pro and Fast tiers for enterprise retrieval and RAG, supporting text, images and combined inputs. Both share an embedding space, allowing Pro indexing and queries with either tier without rebuilding the index for that switch. 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The Nova 2 console guide shows model selection, text prompts and questions about supported images, documents and videos; the API guide demonstrates Converse requests returning generated output to an application. It suits document analysis and multimodal understanding in AWS applications. Input/output support varies by model, and use requires appropriate Bedrock permissions and model or inference configurations for the applicable region. This entry opens the Bedrock model platform.", "capabilities": [], "company": { "name": "Amazon Web Services", "originalName": "Amazon Web Services", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://console.aws.amazon.com/bedrock/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://console.aws.amazon.com/bedrock/" }, { "kind": "documentation", "url": "https://docs.aws.amazon.com/nova/latest/nova2-userguide/getting-started-api.html" } ], "news": [], "links": { "interactive": "products/amazon-nova--b828.html", "reading": "read/en/products/amazon-nova--b828.html", "markdown": "read/en/products/amazon-nova--b828.md", "json": "read/en/products/amazon-nova--b828.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b453", "language": "en", "name": "auxi", "originalName": "auxi", "library": "tools", "category": "Presentations", "categoryKey": "演示文稿", "categoryKeys": [ "演示文稿" ], "categories": [ "Presentations" ], "entryPoints": [], "summary": "Generate, edit and standardize presentations in PowerPoint.", "introduction": "auxi brings AI creation, editing and formatting into a PowerPoint add-in. 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The product serves presentation-heavy consulting and banking workflows that combine content revisions with consistent formatting.", "capabilities": [], "company": { "name": "auxi Inc", "originalName": "auxi Inc", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.auxi.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.auxi.ai/" }, { "kind": "pricing", "url": "https://www.auxi.ai/pricing" } ], "news": [], "links": { "interactive": "products/auxi--b453.html", "reading": "read/en/products/auxi--b453.html", "markdown": "read/en/products/auxi--b453.md", "json": "read/en/products/auxi--b453.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b455", "language": "en", "name": "ChatSPSS", "originalName": "ChatSPSS", "library": "tools", "category": "Data analysis", "categoryKey": "数据分析", "categoryKeys": [ "数据分析" ], "categories": [ "Data analysis" ], "entryPoints": [], "summary": "Analyze research data conversationally and generate statistical results.", "introduction": "ChatSPSS accepts CSV, Excel, SPSS and Stata data and starts statistical analysis from a research question or conversation. Methods include descriptive statistics, group tests, correlation, regression, reliability, validity and mediation or moderation. 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Its capabilities include clothing, shoe and accessory try-ons as well as background replacement.", "capabilities": [], "company": { "name": "Chaojihui AI Technology (Hangzhou)", "originalName": "潮际汇（杭州）智能科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://marketing.k-fashionshop.com/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://marketing.k-fashionshop.com/" } ], "news": [], "links": { "interactive": "products/product--b539.html", "reading": "read/en/products/product--b539.html", "markdown": "read/en/products/product--b539.md", "json": "read/en/products/product--b539.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b542", "language": "en", "name": "Segment Anything (SAM)", "originalName": "Segment Anything（SAM）", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [ { "kind": "docs", "categoryKey": "图像设计", "category": "Images & design", "label": "Model docs", "url": "https://github.com/facebookresearch/segment-anything", "summary": "The original SAM image-segmentation model extracts masks from point or box prompts, or automatically segments an image." } ], "summary": "The original SAM image-segmentation model extracts masks from point or box prompts, or automatically segments an image.", "introduction": "Segment Anything is Meta's image-segmentation model, using prompts such as points and boxes to identify regions. It produces object masks, and the official code also provides automatic mask generation. 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Users can combine detection with writing feedback to locate material needing review or revision. The toolset brings multiple content checks into review workflows for education, publishing and content teams.", "capabilities": [], "company": { "name": "Winston AI inc", "originalName": "Winston AI inc", "country": { "codes": [ "CA" ], "names": [ "Canada" ], "display": "Canada", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://gowinston.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://gowinston.ai/" }, { "kind": "pricing", "url": "https://gowinston.ai/pricing/" } ], "news": [], "links": { "interactive": "products/winston-ai--b543.html", "reading": "read/en/products/winston-ai--b543.html", "markdown": "read/en/products/winston-ai--b543.md", "json": "read/en/products/winston-ai--b543.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b547", "language": "en", "name": "Boardmix AI Whiteboard", "originalName": "Boardmix AI白板", "library": "tools", "category": "Knowledge management", "categoryKey": "知识管理", "categoryKeys": [ "知识管理" ], "categories": [ "Knowledge management" ], "entryPoints": [], "summary": "Generate and edit mind maps, flowcharts and slides on a collaborative canvas.", "introduction": "Boardmix AI Whiteboard turns questions, meeting notes and source material into mind maps, flowcharts, slides, text and images. Generated content remains on an infinite canvas for editing, restructuring and team sharing. The workspace combines drafting with visualization for brainstorming, meeting synthesis, design research and planning.", "capabilities": [], "company": { "name": "Bosi Yunchuang Technology (Shenzhen)", "originalName": "深圳市博思云创科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://boardmix.cn/ai-whiteboard", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://boardmix.cn/ai-whiteboard" } ], "news": [], "links": { "interactive": "products/product--b547.html", "reading": "read/en/products/product--b547.html", "markdown": "read/en/products/product--b547.md", "json": "read/en/products/product--b547.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b549", "language": "en", "name": "Typeless", "originalName": "Typeless", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "Turn natural dictation into polished text across applications.", "introduction": "Typeless turns dictation into messages, emails and document text inside the applications where users write. It removes fillers and repetition, recognizes spoken corrections and formats lists or steps. A personal dictionary and app-aware tone adjustments support specialized terms and different writing situations.", "capabilities": [ { "title": "Mixed-language dictation", "description": "Languages can be mixed while dictating, with automatic language recognition and transcription." } ], "company": { "name": "Typeless", "originalName": "Typeless", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.typeless.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.typeless.com/" }, { "kind": "pricing", "url": "https://www.typeless.com/pricing" } ], "news": [], "links": { "interactive": "products/typeless--b549.html", "reading": "read/en/products/typeless--b549.html", "markdown": "read/en/products/typeless--b549.md", "json": "read/en/products/typeless--b549.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b554", "language": "en", "name": "vivago AI Agent", "originalName": "vivago AI Agent", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Create images and videos through chat and organize project assets.", "introduction": "vivago AI Agent creates videos and images from conversational briefs. Users can upload files or reference existing assets and organize material within projects. Gallery, effects and SkillHub entry points connect asset selection with chat-based creation.", "capabilities": [], "company": { "name": "Sparking Innovations Limited", "originalName": "Sparking Innovations Limited", "country": { "codes": [ "HK" ], "names": [ "Hong Kong SAR, China" ], "display": "Hong Kong SAR, China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://vivago.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://vivago.ai/" } ], "news": [], "links": { "interactive": "products/viva--b554.html", "reading": "read/en/products/viva--b554.html", "markdown": "read/en/products/viva--b554.md", "json": "read/en/products/viva--b554.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b555", "language": "en", "name": "Ciniao Voiceover", "originalName": "刺鸟配音", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Create voiceovers from text and process related audio material.", "introduction": "Ciniao Voiceover turns text into synthetic narration for short videos, commentary, reading and audiobooks. Users choose a voice, with companion tools for copy extraction, audio trimming and volume processing. Web, mobile-app and mini-program access support the workflow from script to spoken content.", "capabilities": [], "company": { "name": "Houlang Network Technology (Changsha)", "originalName": "长沙后浪网络科技有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.icnpy.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.icnpy.com/" } ], "news": [], "links": { "interactive": "products/product--b555.html", "reading": "read/en/products/product--b555.html", "markdown": "read/en/products/product--b555.md", "json": "read/en/products/product--b555.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "mistral-voxtral3-20261020", "relation": "company", "affectedProducts": [ { "id": "b616", "name": "Mistral AI" } ], "importance": "major", "product": "Mistral AI", "title": "Mistral introduces Voxtral 3 for real-time voice and tool use", "summary": "Voxtral 3 brings transcription, speech generation and a voice-agent SDK into streaming conversations with reasoning and tool use. The announcement lists separate language coverage for transcription and speech generation, offers API and self-deployment options, and allows individual pipeline models to be replaced.", "originalPublishedOn": "2026-10-20", "source": "Mistral AI", "sourceUrl": "https://mistral.ai/news/voxtral-3/" }, { "id": "mistral-large4-preview-20261006", "relation": "company", "affectedProducts": [ { "id": "b616", "name": "Mistral AI" } ], "importance": "major", "product": "Mistral AI", "title": "Mistral Large 4 opens a preview API ahead of weight release", "summary": "Mistral introduces Large 4 in preview for coding, agent tasks and multimodal understanding. The announcement provides a preview API and schedules weights for later in the month; API preview access does not establish that weights were already downloadable at publication.", "originalPublishedOn": "2026-10-06", "source": "Mistral AI", "sourceUrl": "https://mistral.ai/news/mistral-large-4/" } ], "id": "b617", "language": "en", "name": "Mistral Vibe", "originalName": "Mistral Vibe", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [], "summary": "Formerly Le Chat: a Mistral application combining chat, research, document work and coding tasks.", "introduction": "Mistral Vibe succeeds Le Chat and provides chat, work and coding modes. Users upload materials, search the web or connect work apps to assemble sourced research, analyze spreadsheets and produce documents. Coding modes handle project changes and tests. It is a ready-to-use assistant powered by Mistral models. The official migration notice preserves existing Le Chat accounts, conversations and plans at chat.mistral.ai.", "capabilities": [], "company": { "details": { "facts": [ { "key": "website", "label": "Company website", "value": "https://mistral.ai/" }, { "key": "founded", "label": "Founded", "value": "2023" }, { "key": "founders", "label": "Founders", "value": "Arthur Mensch · Guillaume Lample · Timothee Lacroix" }, { "key": "focus", "label": "Business focus", "value": "Develops language and multimodal models, model APIs, enterprise AI solutions and end-user assistants." } ], "otherProducts": [ { "id": "b616", "name": "Mistral AI", "profile": "products/mistral-ai--b616.html" } ] }, "name": "Mistral AI", "originalName": "Mistral AI", "country": { "codes": [ "FR" ], "names": [ "France" ], "display": "France", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://chat.mistral.ai/", "profileUpdatedOn": "2026-10-21", "sources": [ { "kind": "product", "url": "https://chat.mistral.ai/" }, { "kind": "documentation", "url": "https://help.mistral.ai/en/articles/682992-le-chat-is-now-vibe" }, { "kind": "documentation", "url": "https://docs.mistral.ai/vibe" } ], "news": [], "links": { "interactive": "products/mistral-vibe--b617.html", "reading": "read/en/products/mistral-vibe--b617.html", "markdown": "read/en/products/mistral-vibe--b617.md", "json": "read/en/products/mistral-vibe--b617.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b618", "language": "en", "name": "Tencent Cloud ADP", "originalName": "腾讯云智能体开发平台 ADP", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [ { "kind": "website", "categoryKey": "智能体开发平台", "category": "Agent development platforms", "label": "Visit website", "url": "https://cloud.tencent.com/product/adp", "summary": "Tencent Cloud’s agent development and publishing platform, connecting models, knowledge bases, tools and workflows." } ], "summary": "Tencent Cloud’s agent development and publishing platform, connecting models, knowledge bases, tools and workflows.", "introduction": "Tencent Cloud ADP helps teams build, publish and operate AI agents. Users select models, connect business knowledge and tools, then organize tasks through standard agents, workflows, multi-agent collaboration or Claw modes. APIs and publishing channels connect agents to business systems. ADP is an agent development platform, not a foundation model or an individual chatbot. 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Teachers can draft lesson plans, quizzes, exit tickets and rubrics around learning goals. Teacher tools, family subscriptions and school deployments have different access conditions; a teacher account does not automatically enable classroom student access.", "capabilities": [], "company": { "name": "Khan Academy", "originalName": "Khan Academy", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.khanmigo.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.khanmigo.ai/" } ], "news": [], "links": { "interactive": "products/khanmigo--b762.html", "reading": "read/en/products/khanmigo--b762.html", "markdown": "read/en/products/khanmigo--b762.md", "json": "read/en/products/khanmigo--b762.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b763", "language": "en", "name": "MagicSchool", "originalName": "MagicSchool", "library": "tools", "category": "Learning", "categoryKey": "教育学习", "categoryKeys": [ "教育学习" ], "categories": [ "Learning" ], "entryPoints": [], "summary": "AI teaching tools for lesson plans, rubrics and quizzes, alongside teacher-guided student learning tools.", "introduction": "MagicSchool organizes planning, materials and assessment into dedicated AI tools for lesson plans, rubrics, multiple-choice quizzes and worksheets. Teachers adapt drafts to their curriculum; student tools support guided learning, writing feedback and practice. School and district deployments add management and curriculum settings, keeping the product focused on educational workflows.", "capabilities": [], "company": { "name": "Magic School, Inc.", "originalName": "Magic School, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.magicschool.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.magicschool.ai/" }, { "kind": "documentation", "url": "https://www.magicschool.ai/magic-tools" } ], "news": [], "links": { "interactive": "products/magicschool--b763.html", "reading": "read/en/products/magicschool--b763.html", "markdown": "read/en/products/magicschool--b763.md", "json": "read/en/products/magicschool--b763.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b764", "language": "en", "name": "SchoolAI", "originalName": "SchoolAI", "library": "tools", "category": "Learning", "categoryKey": "教育学习", "categoryKeys": [ "教育学习" ], "categories": [ "Learning" ], "entryPoints": [], "summary": "Teachers create AI learning Spaces; students work with Dot while Mission Control surfaces progress and difficulties.", "introduction": "SchoolAI centers on teacher-designed Spaces with defined learning experiences and AI response boundaries. Students interact with Dot, while Mission Control shows teachers engagement, thinking and sticking points for follow-up instruction. PowerUps and the browser extension add creation, practice and feedback around classroom learning.", "capabilities": [], "company": { "name": "SchoolAI", "originalName": "SchoolAI", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://schoolai.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://schoolai.com/" } ], "news": [], "links": { "interactive": "products/schoolai--b764.html", "reading": "read/en/products/schoolai--b764.html", "markdown": "read/en/products/schoolai--b764.md", "json": "read/en/products/schoolai--b764.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b765", "language": "en", "name": "Brisk Teaching", "originalName": "Brisk Teaching", "library": "tools", "category": "Learning", "categoryKey": "教育学习", "categoryKeys": [ "教育学习" ], "categories": [ "Learning" ], "entryPoints": [], "summary": "Create lessons, writing feedback and interactive practice from existing browser resources, and adjust reading levels.", "introduction": "Brisk Teaching works with documents, videos, PDFs and websites already in a teacher’s browser. Its AI chat turns resources into lessons, assessments or classroom tasks, adds writing feedback and adjusts reading levels. Brisk Boost creates interactive student activities; file access and extension support depend on the current platform setup.", "capabilities": [], "company": { "name": "Brisk Teaching", "originalName": "Brisk Teaching", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.briskteaching.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.briskteaching.com/" } ], "news": [], "links": { "interactive": "products/brisk-teaching--b765.html", "reading": "read/en/products/brisk-teaching--b765.html", "markdown": "read/en/products/brisk-teaching--b765.md", "json": "read/en/products/brisk-teaching--b765.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b766", "language": "en", "name": "Diffit", "originalName": "Diffit", "library": "tools", "category": "Learning", "categoryKey": "教育学习", "categoryKeys": [ "教育学习" ], "categories": [ "Learning" ], "entryPoints": [], "summary": "Generate differentiated activities from topics or materials, set difficulty and scaffolds, then print or export editable resources.", "introduction": "Diffit turns topics or existing content into differentiated activities, station rotations, substitute plans and intervention materials. Teachers set challenge levels, standards, language and scaffolds, then edit, print or export to Google Docs, Slides, Forms, Classroom or Microsoft 365. The workflow is teacher-led material preparation rather than direct student AI chat.", "capabilities": [], "company": { "name": "Diffit, Inc.", "originalName": "Diffit, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://web.diffit.me/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://web.diffit.me/" } ], "news": [], "links": { "interactive": "products/diffit--b766.html", "reading": "read/en/products/diffit--b766.html", "markdown": "read/en/products/diffit--b766.md", "json": "read/en/products/diffit--b766.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b767", "language": "en", "name": "QuestionWell", "originalName": "QuestionWell", "library": "tools", "category": "Learning", "categoryKey": "教育学习", "categoryKeys": [ "教育学习" ], "categories": [ "Learning" ], "entryPoints": [], "summary": "Generate questions, readings and interactive videos, analyze cognitive demand and adapt materials for existing teaching tools.", "introduction": "QuestionWell creates questions, readings, vocabulary and interactive videos from topics or standards. Analysis lenses annotate cognitive demand, rigor and alignment, and teachers work with AI to revise drafts before exporting to existing platforms or formats. Its current workflow covers authoring, analysis and adaptation beyond multiple-choice generation.", "capabilities": [], "company": { "name": "Maya Bialik LLC", "originalName": "Maya Bialik LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://questionwell.org/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://questionwell.org/" } ], "news": [], "links": { "interactive": "products/questionwell--b767.html", "reading": "read/en/products/questionwell--b767.html", "markdown": "read/en/products/questionwell--b767.md", "json": "read/en/products/questionwell--b767.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b768", "language": "en", "name": "Eduaide", "originalName": "Eduaide", "library": "tools", "category": "Learning", "categoryKey": "教育学习", "categoryKeys": [ "教育学习" ], "categories": [ "Learning" ], "entryPoints": [], "summary": "Guided workflows turn learning objectives and curriculum sources into worksheets, graphic organizers, games and assessments.", "introduction": "Eduaide organizes AI preparation around teaching tasks. Start with objectives, topics, documents, websites or YouTube videos to create lessons, worksheets, graphic organizers, discussions and games, then revise against standards and learner needs and export. Guided workflows connect source material, generation and revision without requiring elaborate prompts.", "capabilities": [], "company": { "name": "Eduaide", "originalName": "Eduaide", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.eduaide.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.eduaide.ai/" } ], "news": [], "links": { "interactive": "products/eduaide--b768.html", "reading": "read/en/products/eduaide--b768.html", "markdown": "read/en/products/eduaide--b768.md", "json": "read/en/products/eduaide--b768.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b769", "language": "en", "name": "Curipod", "originalName": "Curipod", "library": "tools", "category": "Learning", "categoryKey": "教育学习", "categoryKeys": [ "教育学习" ], "categories": [ "Learning" ], "entryPoints": [], "summary": "Teacher-led classroom writing and discussion with immediate AI feedback and reports on misconceptions and revision.", "introduction": "Curipod focuses on teacher-led classroom writing: students read, write and discuss, receive immediate AI feedback, then reflect and revise. Teacher reports turn responses and revisions into evidence of misconceptions and follow-up needs. Lessons align with adopted curricula, emphasizing whole-class instruction and feedback rather than standalone slide creation.", "capabilities": [], "company": { "name": "Curipod", "originalName": "Curipod", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://curipod.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://curipod.com/" } ], "news": [], "links": { "interactive": "products/curipod--b769.html", "reading": "read/en/products/curipod--b769.html", "markdown": "read/en/products/curipod--b769.md", "json": "read/en/products/curipod--b769.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b770", "language": "en", "name": "Hyper3D Rodin", "originalName": "Hyper3D Rodin", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Generate 3D assets from text or reference images, with web creation, material tools and the Rodin API for pipelines.", "introduction": "Hyper3D Rodin turns descriptions or reference images into 3D assets, with web tools for textures, mesh viewing and editing. Developers can submit generation jobs through its API, poll asynchronous status and download completed results into content pipelines. It is a 3D generation service; usage depends on plans, credits and task settings.", "capabilities": [], "company": { "name": "Hyper3D", "originalName": "Hyper3D", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://hyper3d.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://hyper3d.ai/" }, { "kind": "documentation", "url": "https://docs.hyper3d.ai/en" } ], "news": [], "links": { "interactive": "products/hyper3d-rodin--b770.html", "reading": "read/en/products/hyper3d-rodin--b770.html", "markdown": "read/en/products/hyper3d-rodin--b770.md", "json": "read/en/products/hyper3d-rodin--b770.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b771", "language": "en", "name": "Kaedim", "originalName": "Kaedim", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Combine machine learning and in-house artists to turn sketches, references and briefs into reviewable, revisable 3D assets.", "introduction": "Kaedim converts sketches, reference packs, product photos and art direction into assets teams can review, mark up, compare and approve. Official documentation describes machine learning combined with in-house artists, so delivery is not uniformly autonomous or instant. Models can enter downstream 3D software; formats, specifications and delivery arrangements depend on the project.", "capabilities": [], "company": { "name": "Kaedim Inc", "originalName": "Kaedim Inc", "entities": [ { "name": "Kaedim Limited", "originalName": "Kaedim Limited", "role": "copyright-holder", "roleLabel": "Copyright notice entity" } ], "note": "Copyright notice entity: Kaedim Limited", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.kaedim3d.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.kaedim3d.com/" }, { "kind": "documentation", "url": "https://docs.kaedim3d.com/kaedim-documentation.md" } ], "news": [], "links": { "interactive": "products/kaedim--b771.html", "reading": "read/en/products/kaedim--b771.html", "markdown": "read/en/products/kaedim--b771.md", "json": "read/en/products/kaedim--b771.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b773", "language": "en", "name": "Spline AI 3D Generation", "originalName": "Spline AI 3D Generation", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Generate textured 3D models from text or images, inspect meshes and PBR maps, then download GLB or edit in Spline.", "introduction": "Spline AI 3D Generation takes descriptions or images, offers looks to choose from and turns a selection into a textured model. Shaded, clay and wireframe views expose geometry and PBR maps alongside face counts, vertices and file size. Download GLB or continue lighting, animation and interaction in Spline.", "capabilities": [], "company": { "name": "Spline, Inc.", "originalName": "Spline, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://spline.design/ai-generate", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://spline.design/ai-generate" } ], "news": [], "links": { "interactive": "products/spline-ai-3d-generation--b773.html", "reading": "read/en/products/spline-ai-3d-generation--b773.html", "markdown": "read/en/products/spline-ai-3d-generation--b773.md", "json": "read/en/products/spline-ai-3d-generation--b773.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b774", "language": "en", "name": "Deepgram", "originalName": "Deepgram", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入", "音频音乐" ], "categories": [ "Speech recognition & input", "Audio & music" ], "entryPoints": [ { "kind": "website", "categoryKey": "语音识别与输入", "category": "Speech recognition & input", "label": "Visit website", "url": "https://deepgram.com/", "summary": "Realtime and batch speech recognition, synthesis and voice-agent APIs with turn-taking, interruption handling and model orchestration." } ], "summary": "Realtime and batch speech recognition, synthesis and voice-agent APIs with turn-taking, interruption handling and model orchestration.", "introduction": "Deepgram transcribes recordings or live audio and synthesizes spoken responses. Its Voice Agent API combines recognition, language-model orchestration and speech output, handling turn endings, interruptions and context. Integrators still configure business actions and external systems; this is embeddable voice infrastructure rather than a ready-made meeting-notes app.", "capabilities": [], "company": { "name": "Deepgram, Inc.", "originalName": "Deepgram, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://deepgram.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://deepgram.com/" } ], "news": [], "links": { "interactive": "products/deepgram--b774.html", "reading": "read/en/products/deepgram--b774.html", "markdown": "read/en/products/deepgram--b774.md", "json": "read/en/products/deepgram--b774.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b775", "language": "en", "name": "AssemblyAI", "originalName": "AssemblyAI", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "API transcription for recordings and live speech, with speakers, chapters, summaries and dictation into polished text.", "introduction": "AssemblyAI offers prerecorded, streaming and synchronous short-clip transcription for meeting, call-analysis and dictation products. Speech Understanding extracts speakers, chapters, sentiment and summaries; Dictation resolves fillers and self-corrections into usable text. Developers choose processing modes according to clip length and response timing.", "capabilities": [], "company": { "name": "AssemblyAI Inc.", "originalName": "AssemblyAI Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.assemblyai.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.assemblyai.com/" }, { "kind": "documentation", "url": "https://www.assemblyai.com/docs" } ], "news": [], "links": { "interactive": "products/assemblyai--b775.html", "reading": "read/en/products/assemblyai--b775.html", "markdown": "read/en/products/assemblyai--b775.md", "json": "read/en/products/assemblyai--b775.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b776", "language": "en", "name": "Speechmatics", "originalName": "Speechmatics", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "Multilingual speech recognition for product integration, with realtime transcription and cloud, on-premise or device deployment options.", "introduction": "Speechmatics converts live or recorded speech into text for captioning, meeting products, call analysis and specialist transcription. It offers multilingual and multi-speaker recognition with domain models such as medical speech. Device, on-premise and cloud deployments are separate options; cloud access does not imply all processing happens locally.", "capabilities": [], "company": { "name": "Cantab Research Limited", "originalName": "Cantab Research Limited", "country": { "codes": [ "GB" ], "names": [ "United Kingdom" ], "display": "United Kingdom", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.speechmatics.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.speechmatics.com/" } ], "news": [], "links": { "interactive": "products/speechmatics--b776.html", "reading": "read/en/products/speechmatics--b776.html", "markdown": "read/en/products/speechmatics--b776.md", "json": "read/en/products/speechmatics--b776.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b777", "language": "en", "name": "Gladia", "originalName": "Gladia", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "Transcribe multilingual streams or files, enrich with speakers, entities and summaries, then integrate into business systems.", "introduction": "Gladia accepts audio or video through realtime and asynchronous APIs, producing editable transcripts with optional speaker, entity, summary and sensitive-data processing. APIs and workflows pass results to CRMs, databases or downstream systems. It is a developer voice-data layer; analysis features are enabled and billed according to the chosen configuration.", "capabilities": [], "company": { "name": "GLADIA SAS", "originalName": "GLADIA SAS", "country": { "codes": [ "FR" ], "names": [ "France" ], "display": "France", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.gladia.io/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.gladia.io/" } ], "news": [], "links": { "interactive": "products/gladia--b777.html", "reading": "read/en/products/gladia--b777.html", "markdown": "read/en/products/gladia--b777.md", "json": "read/en/products/gladia--b777.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b779", "language": "en", "name": "Resemble AI", "originalName": "Resemble AI", "library": "tools", "category": "Content analysis", "categoryKey": "内容检测", "categoryKeys": [ "内容检测" ], "categories": [ "Content analysis" ], "entryPoints": [], "summary": "Detect synthetic audio, video and images with structured results, watermarking and identity matching via APIs or integrations.", "introduction": "Resemble AI’s current platform detects synthetic audio, video and images and returns structured analysis with explanations. Watermarking marks provenance, while identity registration supports voice and likeness matching; APIs and meeting protection integrate into existing workflows. Detection, provenance and identity matching answer different questions and require interpretation in context.", "capabilities": [], "company": { "name": "Resemble AI, Inc.", "originalName": "Resemble AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.resemble.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.resemble.ai/" } ], "news": [], "links": { "interactive": "products/resemble-ai--b779.html", "reading": "read/en/products/resemble-ai--b779.html", "markdown": "read/en/products/resemble-ai--b779.md", "json": "read/en/products/resemble-ai--b779.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b780", "language": "en", "name": "Hume AI", "originalName": "Hume AI", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Evaluate voice models and agents for tone, timing, interruption and context, generating tests and diagnosing failures from conversations.", "introduction": "Hume AI’s current VoiceEQ workflow derives scenarios, tests, criteria and experiment plans from conversations, then stress-tests voice models or agents and diagnoses failures. Evaluation covers expression, timing, accents and contextual adaptation using automated measures and human judgment. Expression APIs analyze expressive signals; those measurements do not establish a speaker’s internal psychological state.", "capabilities": [], "company": { "name": "Hume AI, Inc.", "originalName": "Hume AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.hume.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.hume.ai/" } ], "news": [], "links": { "interactive": "products/hume-ai--b780.html", "reading": "read/en/products/hume-ai--b780.html", "markdown": "read/en/products/hume-ai--b780.md", "json": "read/en/products/hume-ai--b780.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b778", "language": "en", "name": "Cartesia", "originalName": "Cartesia", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐", "语音识别与输入" ], "categories": [ "Audio & music", "Speech recognition & input" ], "entryPoints": [ { "kind": "website", "categoryKey": "音频音乐", "category": "Audio & music", "label": "Visit website", "url": "https://www.cartesia.ai/", "summary": "Sonic speech synthesis, Ink streaming recognition and Managed Agents for realtime voice conversations and calling workflows." } ], "summary": "Sonic speech synthesis, Ink streaming recognition and Managed Agents for realtime voice conversations and calling workflows.", "introduction": "Cartesia combines Sonic text-to-speech, Ink speech-to-text and managed voice agents. Developers can call speech models or configure Managed Agents for live conversations and inbound or outbound calls. Cloud, on-premise and device options require the relevant deployment; a speech-model API and a configured business agent are different integration levels.", "capabilities": [], "company": { "name": "Cartesia AI, Inc.", "originalName": "Cartesia AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.cartesia.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.cartesia.ai/" } ], "news": [], "links": { "interactive": "products/cartesia--b778.html", "reading": "read/en/products/cartesia--b778.html", "markdown": "read/en/products/cartesia--b778.md", "json": "read/en/products/cartesia--b778.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b781", "language": "en", "name": "Fish Audio", "originalName": "Fish Audio", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Generate voiceovers from scripts and voices, control expression with emotion and pause tags, and access cloning and APIs.", "introduction": "Fish Audio turns scripts and selected voices into narration, using tags for emotion, emphasis, laughter and pauses. Cloning and APIs support custom voices and application integration; the site also offers recognition and lipsync entry points. Models and allowances vary, and a community voice listing does not establish rights to any person’s voice.", "capabilities": [], "company": { "name": "Hanabi AI, Inc.", "originalName": "Hanabi AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://fish.audio/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://fish.audio/" } ], "news": [], "links": { "interactive": "products/fish-audio--b781.html", "reading": "read/en/products/fish-audio--b781.html", "markdown": "read/en/products/fish-audio--b781.md", "json": "read/en/products/fish-audio--b781.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b782", "language": "en", "name": "Murf Studio", "originalName": "Murf Studio", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Turn scripts into AI voiceovers with pitch, speed and intonation controls for training, videos and brand content.", "introduction": "Murf Studio is Murf’s creator voiceover workspace. Enter a script, select a voice and adjust pitch, speed and intonation while iterating narration for courses, videos, advertising or product explanations. Murf also offers developer speech APIs and calling agents, whose workflows and plans are separate from Studio.", "capabilities": [], "company": { "name": "Murf AI", "originalName": "Murf AI", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://murf.ai/studio", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://murf.ai/studio" } ], "news": [], "links": { "interactive": "products/murf-studio--b782.html", "reading": "read/en/products/murf-studio--b782.html", "markdown": "read/en/products/murf-studio--b782.md", "json": "read/en/products/murf-studio--b782.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b783", "language": "en", "name": "WellSaid", "originalName": "WellSaid", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Create AI narration from scripts, direct pronunciation, pacing and tone with AI Director, and collaborate on projects and feedback.", "introduction": "WellSaid lets teams paste scripts, preview voices and use AI Director to adjust pronunciation, pacing and tone for training, communications, marketing or video narration. Shared projects and feedback support consistent revisions; an API embeds generation in other products. Voice, collaboration and API access depend on the plan.", "capabilities": [], "company": { "name": "WellSaid Labs, Inc.", "originalName": "WellSaid Labs, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.wellsaid.io/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.wellsaid.io/" } ], "news": [], "links": { "interactive": "products/wellsaid--b783.html", "reading": "read/en/products/wellsaid--b783.html", "markdown": "read/en/products/wellsaid--b783.md", "json": "read/en/products/wellsaid--b783.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b789", "language": "en", "name": "Rime", "originalName": "Rime", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Speech synthesis for live conversations with accent, pace and tone controls, available through APIs or self-hosting.", "introduction": "Rime generates speech for calling and conversational products with voice selection and controls for accent, pace, tone and terminology pronunciation. 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Open-source code, local execution, cloud browsers and hosted agents are distinct combinations with separate model and browser configurations and costs.", "capabilities": [], "company": { "name": "Browser Use Inc.", "originalName": "Browser Use Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://browser-use.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://browser-use.com/" }, { "kind": "documentation", "url": "https://docs.browser-use.com/cloud/agent/quickstart" } ], "news": [], "links": { "interactive": "products/browser-use--b800.html", "reading": "read/en/products/browser-use--b800.html", "markdown": "read/en/products/browser-use--b800.md", "json": "read/en/products/browser-use--b800.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b801", "language": "en", "name": "Stagehand", "originalName": "Stagehand", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [], "summary": "Browser-agent SDK combining familiar page operations with AI actions, observation and structured extraction in TypeScript, Python and Go.", "introduction": "Stagehand offers navigation, clicks, locators and screenshots alongside act, observe and extract for semantic actions and data extraction. Version 4 places targets, state and dispatch in a browser-extension core shared by TypeScript, Python and Go SDKs. Developers choose local browsers or Browserbase cloud and configure models and sessions accordingly.", "capabilities": [], "company": { "name": "Browserbase", "originalName": "Browserbase" }, "officialUrl": "https://www.stagehand.dev/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.stagehand.dev/" }, { "kind": "documentation", "url": "https://docs.stagehand.dev/v4/first-steps/quickstart" } ], "news": [ { "id": "stagehand-v4-20260810", "importance": "minor", "product": "Stagehand", "title": "Stagehand v4 introduces a shared browser-extension core", "summary": "Browserbase released Stagehand v4, moving targets, state management and CDP dispatch into an extension running with the browser. TypeScript, Python and Go SDKs share the core, applying the same architecture to local and remote browsers to reduce stale client-side state.", "originalPublishedOn": "2026-08-10", "source": "Browserbase", "sourceUrl": "https://www.browserbase.com/blog/stagehand-v4" } ], "links": { "interactive": "products/stagehand--b801.html", "reading": "read/en/products/stagehand--b801.html", "markdown": "read/en/products/stagehand--b801.md", "json": "read/en/products/stagehand--b801.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b804", "language": "en", "name": "AgentOps", "originalName": "AgentOps", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Record agent and model calls, replay execution and inspect tool inputs, outputs, errors and costs for evaluation and debugging.", "introduction": "AgentOps records sessions, model calls and tools through SDK and framework integrations, presenting multistep runs as replayable execution graphs. Developers inspect inputs, outputs, errors and costs to compare runs and diagnose problems. Dashboard and API backend can be self-hosted; recorded data and destinations depend on integration and deployment.", "capabilities": [], "company": { "name": "STAF, INC", "originalName": "STAF, INC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.agentops.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.agentops.ai/" }, { "kind": "documentation", "url": "https://docs.agentops.ai/" } ], "news": [], "links": { "interactive": "products/agentops--b804.html", "reading": "read/en/products/agentops--b804.html", "markdown": "read/en/products/agentops--b804.md", "json": "read/en/products/agentops--b804.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b805", "language": "en", "name": "LangSmith", "originalName": "LangSmith", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Trace agents, tools and models end to end, analyze cost, latency and failures, and monitor quality with online evaluations.", "introduction": "LangSmith observability organizes model and tool calls into traces for diagnosing conversation, retrieval and agent-trajectory failures. Dashboards track tokens, latency, cost, errors and feedback, with online evaluations and clustering. It supports other frameworks and OpenTelemetry without requiring LangChain; managed, BYOC and self-hosted deployments have different data paths.", "capabilities": [], "company": { "name": "LangChain, Inc.", "originalName": "LangChain, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.langchain.com/langsmith/observability", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.langchain.com/langsmith/observability" } ], "news": [], "links": { "interactive": "products/langsmith--b805.html", "reading": "read/en/products/langsmith--b805.html", "markdown": "read/en/products/langsmith--b805.md", "json": "read/en/products/langsmith--b805.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b806", "language": "en", "name": "Pixelcut", "originalName": "Pixelcut", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计", "营销电商", "视频创作" ], "categories": [ "Images & design", "Marketing & commerce", "Video creation" ], "entryPoints": [ { "kind": "website", "categoryKey": "图像设计", "category": "Images & design", "label": "Visit website", "url": "https://www.pixelcut.ai/", "summary": "Generate and edit product images and videos through chat, combining cutouts, expansion, retouching, shadows, personas and batch tools." } ], "summary": "Generate and edit product images and videos through chat, combining cutouts, expansion, retouching, shadows, personas and batch tools.", "introduction": "Pixelcut’s Creative Agent plans image and video operations from descriptions for product showcases, ads and personas. Existing images can use background removal, generative fill, expansion, shadows, upscaling and batch edits. Generation and retouching share a workspace, with models, video features and allowances varying by plan.", "capabilities": [], "company": { "name": "Pixelcut Inc", "originalName": "Pixelcut Inc", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.pixelcut.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.pixelcut.ai/" } ], "news": [], "links": { "interactive": "products/pixelcut--b806.html", "reading": "read/en/products/pixelcut--b806.html", "markdown": "read/en/products/pixelcut--b806.md", "json": "read/en/products/pixelcut--b806.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b807", "language": "en", "name": "PicWish", "originalName": "PicWish", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "AI cutouts, sharpening, object removal and product imagery, with conversational edits and scene presets.", "introduction": "PicWish isolates subjects, removes backgrounds or unwanted objects and sharpens photos or builds product scenes. AI Designer accepts conversational changes with scene presets, while batch tools handle repeated edits. Web and app entry points differ; preview access, output specifications and allowances depend on the feature.", "capabilities": [], "company": { "name": "WANGXU TECHNOLOGY (HK) CO., LIMITED", "originalName": "WANGXU TECHNOLOGY (HK) CO., LIMITED", "country": { "codes": [ "HK" ], "names": [ "Hong Kong SAR, China" ], "display": "Hong Kong SAR, China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://picwish.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://picwish.com/" } ], "news": [], "links": { "interactive": "products/picwish--b807.html", "reading": "read/en/products/picwish--b807.html", "markdown": "read/en/products/picwish--b807.md", "json": "read/en/products/picwish--b807.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b808", "language": "en", "name": "Flair", "originalName": "Flair", "library": "tools", "category": "Marketing & commerce", "categoryKey": "营销电商", "categoryKeys": [ "营销电商", "图像设计" ], "categories": [ "Marketing & commerce", "Images & design" ], "entryPoints": [ { "kind": "website", "categoryKey": "营销电商", "category": "Marketing & commerce", "label": "Visit website", "url": "https://flair.ai/", "summary": "Stage products, props and models on a drag-and-drop canvas to generate branded photography, fashion imagery and ads with reusable templates." } ], "summary": "Stage products, props and models on a drag-and-drop canvas to generate branded photography, fashion imagery and ads with reusable templates.", "introduction": "Flair turns product photography into editable scene design: arrange products and props, reuse templates and place clothing or jewelry on AI models. Teams collaborate on brand assets and create ads or product videos. The workflow targets brand and ecommerce production with further editing and selection of generated results.", "capabilities": [], "company": { "name": "Flair", "originalName": "Flair", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://flair.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://flair.ai/" } ], "news": [], "links": { "interactive": "products/flair--b808.html", "reading": "read/en/products/flair--b808.html", "markdown": "read/en/products/flair--b808.md", "json": "read/en/products/flair--b808.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b810", "language": "en", "name": "VanceAI", "originalName": "VanceAI", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计", "视频创作" ], "categories": [ "Images & design", "Video creation" ], "entryPoints": [ { "kind": "website", "categoryKey": "图像设计", "category": "Images & design", "label": "Visit website", "url": "https://vanceai.com/", "summary": "Image upscaling, sharpening, denoising, restoration and colorization, plus video enhancement, with distinct local and cloud clients." } ], "summary": "Image upscaling, sharpening, denoising, restoration and colorization, plus video enhancement, with distinct local and cloud clients.", "introduction": "VanceAI groups image upscaling, sharpening, denoising, restoration, colorization and background removal into dedicated tools, with separate video enhancement options. VanceAI Local performs local processing, while VanceAI Cloud is a cloud-powered client. APIs integrate workflows; features, execution location and allowances depend on the chosen product and plan.", "capabilities": [], "company": { "name": "VanceAI", "originalName": "VanceAI", "country": { "codes": [ "HK" ], "names": [ "Hong Kong SAR, China" ], "display": "Hong Kong SAR, China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://vanceai.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://vanceai.com/" } ], "news": [], "links": { "interactive": "products/vanceai--b810.html", "reading": "read/en/products/vanceai--b810.html", "markdown": "read/en/products/vanceai--b810.md", "json": "read/en/products/vanceai--b810.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b811", "language": "en", "name": "Let’s Enhance", "originalName": "Let’s Enhance", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Upload photos and choose upscaling, enhancement, sharpening or restoration modes for print and web images.", "introduction": "Let’s Enhance processes JPG, PNG or WebP for larger dimensions, improved quality or blur repair. Prime, Gentle and old-photo modes suit different content, with gentler handling for text and fine structures and restoration for damaged scans. Batch processing is supported; download results or continue in Chat Editor or Image to Video.", "capabilities": [], "company": { "name": "Lets Enhance INC", "originalName": "Lets Enhance INC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://letsenhance.io/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://letsenhance.io/" } ], "news": [], "links": { "interactive": "products/lets-enhance--b811.html", "reading": "read/en/products/lets-enhance--b811.html", "markdown": "read/en/products/lets-enhance--b811.md", "json": "read/en/products/lets-enhance--b811.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b812", "language": "en", "name": "Upscayl Desktop", "originalName": "Upscayl Desktop", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Open-source desktop AI upscaler enhances low-resolution images with local models and requires a Vulkan-compatible GPU.", "introduction": "Upscayl Desktop uses models such as Real-ESRGAN to infer detail while enlarging low-resolution images. Versions support multiple operating systems, but processing requires a Vulkan-compatible GPU rather than a normal CPU or many integrated GPUs. It is distinct from the separate cloud product and runs on the user’s hardware.", "capabilities": [], "company": { "name": "Upscayl", "originalName": "Upscayl" }, "officialUrl": "https://upscayl.org/download", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://upscayl.org/download" }, { "kind": "documentation", "url": "https://github.com/upscayl/upscayl/wiki/Guide" } ], "news": [], "links": { "interactive": "products/upscayl-desktop--b812.html", "reading": "read/en/products/upscayl-desktop--b812.html", "markdown": "read/en/products/upscayl-desktop--b812.md", "json": "read/en/products/upscayl-desktop--b812.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b813", "language": "en", "name": "Invoke", "originalName": "Invoke", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计" ], "categories": [ "Images & design" ], "entryPoints": [], "summary": "Local AI image engine with layered canvas, inpainting and node workflows for iteration, plus model and creation management.", "introduction": "Invoke’s local web UI combines layered canvas, brushes, inpainting and outpainting for iterating images, sketches and renders. Node workflows compose generation steps, model management handles models and controls, and galleries retain images and settings. Compatible hardware and models are required; software and model licenses apply separately.", "capabilities": [], "company": { "name": "Invoke", "originalName": "Invoke" }, "officialUrl": "https://invoke.ai/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://invoke.ai/" } ], "news": [], "links": { "interactive": "products/invoke--b813.html", "reading": "read/en/products/invoke--b813.html", "markdown": "read/en/products/invoke--b813.md", "json": "read/en/products/invoke--b813.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b814", "language": "en", "name": "Captions", "originalName": "Captions", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "AI edits whole videos with a chosen style, captions, B-roll and music, with chat revisions and avatar creation.", "introduction": "Captions edits uploaded footage with styles, cuts, B-roll, subtitles, music and transitions, followed by text-chat adjustments. Avatars or personal twins create new presenter videos, with eye-contact, pause and noise tools. Former Mirage Studio users can access existing projects and actors through Captions online.", "capabilities": [], "company": { "name": "Mirage US LLC", "originalName": "Mirage US LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://captions.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://captions.ai/" } ], "news": [], "links": { "interactive": "products/captions--b814.html", "reading": "read/en/products/captions--b814.html", "markdown": "read/en/products/captions--b814.md", "json": "read/en/products/captions--b814.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b815", "language": "en", "name": "OpusClip", "originalName": "OpusClip", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Select moments from visual, audio and semantic cues or prompts, reframe and export short clips or editing timelines.", "introduction": "OpusClip accepts files or links and uses ClipAnything’s visual, audio and semantic cues or text requests to select moments. Reframing tracks subjects, while captions, B-roll and brand templates shape clips. Continue editing, export media or XML timelines, or connect accounts for publishing and scheduling.", "capabilities": [], "company": { "name": "Opusclip Inc.", "originalName": "Opusclip Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.opus.pro/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.opus.pro/" } ], "news": [], "links": { "interactive": "products/opusclip--b815.html", "reading": "read/en/products/opusclip--b815.html", "markdown": "read/en/products/opusclip--b815.md", "json": "read/en/products/opusclip--b815.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b816", "language": "en", "name": "Klap", "originalName": "Klap", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Turn interviews, podcasts and lessons into clips with subject-aware reframing, captions and brand styling.", "introduction": "Klap reads files or YouTube links, extracts spoken topics into clips and reframes subjects with captions. AI Reframe adapts layouts for screencasts, multiple people and other scenes; users customize fonts, colors, logos and framing before export or scheduling. Its speech-dependent workflow is best suited to interviews, talking heads and lessons.", "capabilities": [], "company": { "name": "ZIGG SAS", "originalName": "ZIGG SAS", "country": { "codes": [ "FR" ], "names": [ "France" ], "display": "France", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://klap.app/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://klap.app/" } ], "news": [], "links": { "interactive": "products/klap--b816.html", "reading": "read/en/products/klap--b816.html", "markdown": "read/en/products/klap--b816.md", "json": "read/en/products/klap--b816.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b817", "language": "en", "name": "Submagic", "originalName": "Submagic", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Trim by editing transcripts, add animated captions, B-roll, zooms and effects, and generate clips from longer footage.", "introduction": "Submagic transcribes footage so text edits trim clips or remove silence, then adds caption styles, B-roll, zooms and sound effects. AI Auto Edit combines editing tasks, while Magic Clips selects shorts from longer videos. Web editing, automation and APIs offer different workflows, with templates for consistent branding.", "capabilities": [], "company": { "name": "TURBO STUDIO S.A.S.", "originalName": "TURBO STUDIO S.A.S.", "country": { "codes": [ "FR" ], "names": [ "France" ], "display": "France", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.submagic.co/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.submagic.co/" } ], "news": [], "links": { "interactive": "products/submagic--b817.html", "reading": "read/en/products/submagic--b817.html", "markdown": "read/en/products/submagic--b817.md", "json": "read/en/products/submagic--b817.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b818", "language": "en", "name": "Wisecut", "originalName": "Wisecut", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Find standalone moments in long videos, direct cuts, framing, captions and music with Wish text requests, then organize publishing.", "introduction": "Wisecut Highlights selects standalone moments from interviews or lessons. Wish plans cuts, reframing, captions and music from text requests for user review. Autopilot processes new channel videos, Social Hub organizes publishing, and silence cuts, voice enhancement, music tools and MCP integrations extend the workflow.", "capabilities": [], "company": { "name": "Wisecut", "originalName": "Wisecut", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://wisecut.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://wisecut.ai/" } ], "news": [], "links": { "interactive": "products/wisecut--b818.html", "reading": "read/en/products/wisecut--b818.html", "markdown": "read/en/products/wisecut--b818.md", "json": "read/en/products/wisecut--b818.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b819", "language": "en", "name": "Gling", "originalName": "Gling", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Desktop AI editing for spoken videos removes bad takes, pauses and fillers, with transcript revisions and editor exports.", "introduction": "Gling transcribes raw recordings, removes bad takes, silence and fillers, then lets users refine text or timelines. Captions, automatic zoom, denoising and chapters support finishing. Export media and SRT or continue in Final Cut Pro, DaVinci Resolve or Premiere; the main editing surface is a desktop app.", "capabilities": [], "company": { "name": "Gling Inc.", "originalName": "Gling Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.gling.ai/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.gling.ai/" } ], "news": [], "links": { "interactive": "products/gling--b819.html", "reading": "read/en/products/gling--b819.html", "markdown": "read/en/products/gling--b819.md", "json": "read/en/products/gling--b819.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b820", "language": "en", "name": "Munch Studio", "originalName": "Munch Studio", "library": "tools", "category": "Marketing & commerce", "categoryKey": "营销电商", "categoryKeys": [ "营销电商" ], "categories": [ "Marketing & commerce" ], "entryPoints": [], "summary": "Use business websites, images and videos to create social content and strategy for review, editing, scheduling and performance tracking.", "introduction": "Munch Studio uses business websites, videos, photos and meeting recordings to generate social strategies and draft posts. Users choose platforms, review and edit suggestions, schedule through a calendar and inspect reach, engagement and account growth in dashboards.", "capabilities": [], "company": { "name": "Munch Content Platform Ltd.", "originalName": "Munch Content Platform Ltd.", "country": { "codes": [ "IL" ], "names": [ "Israel" ], "display": "Israel", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.munchstudio.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.munchstudio.com/" } ], "news": [], "links": { "interactive": "products/munch-studio--b820.html", "reading": "read/en/products/munch-studio--b820.html", "markdown": "read/en/products/munch-studio--b820.md", "json": "read/en/products/munch-studio--b820.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b829", "language": "en", "name": "Warp Terminal", "originalName": "Warp Terminal", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Use natural-language coding agents in a terminal, inspect runs, review changes and reuse team workflows.", "introduction": "Warp Terminal combines a command line with coding agents. Describe tasks in natural language, watch and steer runs, then inspect edits and send feedback from its code review surface. Multiple sessions organize work around branches, worktrees and pull requests, with cloud-agent connections also supported. This entry opens the terminal product; the separately presented Warp Factories platform has its own access and rollout.", "capabilities": [], "company": { "name": "Denver Technologies, Inc.", "originalName": "Denver Technologies, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.warp.dev/terminal", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.warp.dev/terminal" } ], "news": [], "links": { "interactive": "products/warp-terminal--b829.html", "reading": "read/en/products/warp-terminal--b829.html", "markdown": "read/en/products/warp-terminal--b829.md", "json": "read/en/products/warp-terminal--b829.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b830", "language": "en", "name": "Zed Agent", "originalName": "Zed Agent", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Zed’s native coding agent searches projects, edits files, runs commands and uses MCP tools with reviewable changes.", "introduction": "Zed Agent works in the editor’s Agent Panel and Threads Sidebar to read and search projects, edit files, use the terminal and call MCP tools, presenting changes for review. Model-provider settings control hosted, API or supported local access, while permissions, profiles, skills and instructions shape its work. It is distinct from external agents using ACP and terminal-backed CLI threads.", "capabilities": [], "company": { "name": "Zed Industries, Inc.", "originalName": "Zed Industries, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://zed.dev/docs/ai/zed-agent", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://zed.dev/docs/ai/zed-agent" }, { "kind": "documentation", "url": "https://zed.dev/docs/ai/overview" } ], "news": [], "links": { "interactive": "products/zed-agent--b830.html", "reading": "read/en/products/zed-agent--b830.html", "markdown": "read/en/products/zed-agent--b830.md", "json": "read/en/products/zed-agent--b830.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b832", "language": "en", "name": "Kilo", "originalName": "Kilo", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Open-source coding agent across IDEs, CLI and cloud, with planning, coding, debugging and review workflows.", "introduction": "Kilo brings its coding agent to VS Code, JetBrains, terminals and the cloud, with Ask, Plan, Code and Debug modes. It uses codebase context to write, refactor and investigate code and offers cloud tasks and review workflows. Models can use its gateway, user-supplied keys or local providers. The desktop client is marked Beta; inference allowances and remote execution depend on configuration and access, rather than the client’s open-source license.", "capabilities": [], "company": { "name": "Kilo Code Inc.", "originalName": "Kilo Code Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://kilo.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://kilo.ai/" } ], "news": [], "links": { "interactive": "products/kilo--b832.html", "reading": "read/en/products/kilo--b832.html", "markdown": "read/en/products/kilo--b832.md", "json": "read/en/products/kilo--b832.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b833", "language": "en", "name": "Sourcery", "originalName": "Sourcery", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "AI reviews for GitHub and GitLab changes produce summaries, issue explanations and suggested fixes, with security scanning.", "introduction": "Sourcery analyzes pull or merge request diffs and posts change summaries, explanations of logic errors or edge cases and suggested patches. Security features inspect new changes and can scan repositories for secrets, dependency risks and configuration issues. It reviews multiple programming languages within existing GitHub and GitLab workflows. Automatic approval and self-hosting depend on settings or plans; findings still require team judgment.", "capabilities": [], "company": { "name": "Sourcery", "originalName": "Sourcery", "country": { "codes": [ "GB" ], "names": [ "United Kingdom" ], "display": "United Kingdom", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.sourcery.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.sourcery.ai/" } ], "news": [], "links": { "interactive": "products/sourcery--b833.html", "reading": "read/en/products/sourcery--b833.html", "markdown": "read/en/products/sourcery--b833.md", "json": "read/en/products/sourcery--b833.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b836", "language": "en", "name": "Pieces", "originalName": "Pieces", "library": "tools", "category": "Knowledge management", "categoryKey": "知识管理", "categoryKeys": [ "知识管理" ], "categories": [ "Knowledge management" ], "entryPoints": [], "summary": "Turns work activity into searchable AI memory, queried by time, source or topic and shared as context with MCP assistants.", "introduction": "Pieces builds a timeline from visible app content and clipboard activity, with meeting audio captured only when opted in. Ask by time, source or topic to recover research, prepare meetings or generate work recaps. Memories are stored on-device by default, with pause, exclusion and deletion controls. Its MCP Server supplies history to other assistants. Local memory storage does not mean every connected model or assistant runs offline.", "capabilities": [], "company": { "name": "Mesh Intelligent Technologies, Inc.", "originalName": "Mesh Intelligent Technologies, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://pieces.app/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://pieces.app/" } ], "news": [], "links": { "interactive": "products/pieces--b836.html", "reading": "read/en/products/pieces--b836.html", "markdown": "read/en/products/pieces--b836.md", "json": "read/en/products/pieces--b836.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b837", "language": "en", "name": "Dyad", "originalName": "Dyad", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发", "网页与UI设计" ], "categories": [ "Coding", "Web & UI design" ], "entryPoints": [ { "kind": "website", "categoryKey": "编程开发", "category": "Coding", "label": "Visit website", "url": "https://www.dyad.sh/", "summary": "Desktop AI app builder generates and edits web apps from descriptions, retaining source code and a choice of cloud or local models." } ], "summary": "Desktop AI app builder generates and edits web apps from descriptions, retaining source code and a choice of cloud or local models.", "introduction": "Dyad turns app descriptions into runnable web projects on the desktop, with existing-code imports, previews, visual adjustments and continued editing. It connects cloud models or local services such as Ollama and LM Studio and offers database, authentication and deployment integrations. Project files stay on the device, but offline use depends on models and services. The repository uses Apache 2.0 outside src/pro, whose Functional Source License is different.", "capabilities": [], "company": { "name": "Dyad Tech, Inc.", "originalName": "Dyad Tech, Inc." }, "officialUrl": "https://www.dyad.sh/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.dyad.sh/" }, { "kind": "documentation", "url": "https://github.com/dyad-sh/dyad" } ], "news": [], "links": { "interactive": "products/dyad--b837.html", "reading": "read/en/products/dyad--b837.html", "markdown": "read/en/products/dyad--b837.md", "json": "read/en/products/dyad--b837.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b841", "language": "en", "name": "Tempo", "originalName": "Tempo", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发", "网页与UI设计" ], "categories": [ "Coding", "Web & UI design" ], "entryPoints": [ { "kind": "website", "categoryKey": "编程开发", "category": "Coding", "label": "Visit website", "url": "https://www.tempo.new/", "summary": "Combines product docs, issues, a visual canvas and coding agents to turn requirements into reviewable pull requests." } ], "summary": "Combines product docs, issues, a visual canvas and coding agents to turn requirements into reviewable pull requests.", "introduction": "Tempo uses a codebase as shared context for docs, issues, a design canvas, chat and background agents. Canvas frames preview real routes or React components and visual edits update source; chat runs Claude or Codex in isolated Git worktrees. Messages, GitHub events, issues or schedules can trigger agents that return reviewable artifacts and pull requests. Teams inspect and steer runs in the desktop workspace and approve decisions at human checkpoints.", "capabilities": [], "company": { "name": "Tempo", "originalName": "Tempo", "country": { "codes": [ "CA" ], "names": [ "Canada" ], "display": "Canada", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.tempo.new/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.tempo.new/" } ], "news": [], "links": { "interactive": "products/tempo--b841.html", "reading": "read/en/products/tempo--b841.html", "markdown": "read/en/products/tempo--b841.md", "json": "read/en/products/tempo--b841.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b838", "language": "en", "name": "Magic Patterns", "originalName": "Magic Patterns", "library": "tools", "category": "Web & UI design", "categoryKey": "网页与UI设计", "categoryKeys": [ "网页与UI设计" ], "categories": [ "Web & UI design" ], "entryPoints": [], "summary": "Generates high-fidelity UI from requirements, prompts and references, with canvas comparisons and existing design-system context.", "introduction": "Magic Patterns turns feature ideas and requirements into interface prototypes for product teams. Its MagicOS canvas brings together PRDs, repositories and references to explore directions side by side and hand a chosen design to a coding agent. Imported components and design rules guide consistency with the existing product, while teams edit and review together. It supports validating ideas before implementation; a generated prototype still needs the engineering work required by the product.", "capabilities": [], "company": { "name": "North Park Labs, Inc.", "originalName": "North Park Labs, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.magicpatterns.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.magicpatterns.com/" } ], "news": [], "links": { "interactive": "products/magic-patterns--b838.html", "reading": "read/en/products/magic-patterns--b838.html", "markdown": "read/en/products/magic-patterns--b838.md", "json": "read/en/products/magic-patterns--b838.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b840", "language": "en", "name": "Visily", "originalName": "Visily", "library": "tools", "category": "Web & UI design", "categoryKey": "网页与UI设计", "categoryKeys": [ "网页与UI设计" ], "categories": [ "Web & UI design" ], "entryPoints": [], "summary": "Generates editable wireframes from text, screenshots or diagrams, refined with AI chat, canvas components and prototype links.", "introduction": "Visily helps non-designers communicate product ideas. Start with text, screenshots or diagrams to generate wireframes and UI, then refine them with AI chat and a drag-and-drop canvas. Smart Components, themes and auto-prototyping organize screens and interactions; comments, shared assets and a Figma plugin support collaboration. The main output is an editable design or prototype for requirements discussions and review, rather than proof of an implemented backend.", "capabilities": [], "company": { "name": "Visily, Inc.", "originalName": "Visily, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.visily.ai/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.visily.ai/" } ], "news": [], "links": { "interactive": "products/visily--b840.html", "reading": "read/en/products/visily--b840.html", "markdown": "read/en/products/visily--b840.md", "json": "read/en/products/visily--b840.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b842", "language": "en", "name": "Onlook", "originalName": "Onlook", "library": "tools", "category": "Web & UI design", "categoryKey": "网页与UI设计", "categoryKeys": [ "网页与UI设计", "编程开发" ], "categories": [ "Web & UI design", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "网页与UI设计", "category": "Web & UI design", "label": "Visit website", "url": "https://github.com/onlook-dev/onlook", "summary": "AI visual editor combines chat generation, page previews and styling in Next.js and Tailwind projects with source code as the basis." } ], "summary": "AI visual editor combines chat generation, page previews and styling in Next.js and Tailwind projects with source code as the basis.", "introduction": "Onlook’s open-source editor lets users select elements on real pages, adjust layouts and Tailwind styles and update source code. AI chat reads the project to create or edit interfaces from text, images or an existing Next.js project, with page, code and checkpoint views. This entry opens the repository, whose documented scope is Next.js and Tailwind. The README separately marks the next hosted experience as early access; its access and framework coverage should not be conflated with the repository.", "capabilities": [], "company": { "name": "On Off, Inc.", "originalName": "On Off, Inc." }, "officialUrl": "https://github.com/onlook-dev/onlook", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/onlook-dev/onlook" }, { "kind": "documentation", "url": "https://www.onlook.com/" } ], "news": [], "links": { "interactive": "products/onlook--b842.html", "reading": "read/en/products/onlook--b842.html", "markdown": "read/en/products/onlook--b842.md", "json": "read/en/products/onlook--b842.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b843", "language": "en", "name": "Anima", "originalName": "Anima", "library": "tools", "category": "Web & UI design", "categoryKey": "网页与UI设计", "categoryKeys": [ "网页与UI设计", "编程开发" ], "categories": [ "Web & UI design", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "网页与UI设计", "category": "Web & UI design", "label": "Visit website", "url": "https://www.animaapp.com/", "summary": "Generates editable HTML or React apps from Figma, images, websites or prompts, with visual refinement, preview and export." } ], "summary": "Generates editable HTML or React apps from Figma, images, websites or prompts, with visual refinement, preview and export.", "introduction": "Anima turns design context into web code that can be developed further. Inputs include Figma designs, screenshots, user flows, websites or prompts; outputs include HTML or React with JavaScript or TypeScript and styling choices. Import brand, design systems or existing code, then preview, edit visually and export or hand off the project. MCP and API integrations are also offered, with access and runtime services configured separately.", "capabilities": [], "company": { "name": "Anima", "originalName": "Anima", "country": { "codes": [ "IL" ], "names": [ "Israel" ], "display": "Israel", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.animaapp.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.animaapp.com/" } ], "news": [], "links": { "interactive": "products/anima--b843.html", "reading": "read/en/products/anima--b843.html", "markdown": "read/en/products/anima--b843.md", "json": "read/en/products/anima--b843.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b844", "language": "en", "name": "Locofy", "originalName": "Locofy", "library": "tools", "category": "Web & UI design", "categoryKey": "网页与UI设计", "categoryKeys": [ "网页与UI设计", "编程开发" ], "categories": [ "Web & UI design", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "网页与UI设计", "category": "Web & UI design", "label": "Visit website", "url": "https://www.locofy.ai/", "summary": "Converts Figma or Penpot selections into frontend code, then uses Agent Mode to refine responsiveness, accessibility and themes." } ], "summary": "Converts Figma or Penpot selections into frontend code, then uses Agent Mode to refine responsiveness, accessibility and themes.", "introduction": "Locofy generates frontend code from selected frames or components rather than an entire design file. Lightning analyzes layout, breakpoints, element types and reusable components to create a structure and live preview. Agent Mode then uses natural language to refine responsiveness, accessibility or dark mode. Review and export through Locofy Builder, with URL, CLI and MCP workflows also documented. Framework, component mapping and usage depend on the project and access path.", "capabilities": [], "company": { "name": "Locofy Pte Ltd.", "originalName": "Locofy Pte Ltd.", "country": { "codes": [ "SG" ], "names": [ "Singapore" ], "display": "Singapore", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.locofy.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.locofy.ai/" }, { "kind": "documentation", "url": "https://www.locofy.ai/docs/" } ], "news": [], "links": { "interactive": "products/locofy--b844.html", "reading": "read/en/products/locofy--b844.html", "markdown": "read/en/products/locofy--b844.md", "json": "read/en/products/locofy--b844.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b845", "language": "en", "name": "Builder Code", "originalName": "Builder Code", "library": "tools", "category": "Web & UI design", "categoryKey": "网页与UI设计", "categoryKeys": [ "网页与UI设计", "编程开发" ], "categories": [ "Web & UI design", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "网页与UI设计", "category": "Web & UI design", "label": "Visit website", "url": "https://www.builder.io/platform/code", "summary": "Generates and visually edits UI with repository, component and design-system context, handing changes off through branches and PRs." } ], "summary": "Generates and visually edits UI with repository, component and design-system context, handing changes off through branches and PRs.", "introduction": "Builder Code helps product teams work in real repositories. Start from a prompt, Figma design or existing branch; generation uses components, tokens and project rules, while visual layout, spacing, styling and copy edits update source. Teams review on the same branch and produce pull requests within their existing process, with MCP connecting coding tools. This record covers Code; the separate Content CMS is a different product surface.", "capabilities": [], "company": { "name": "Builder.io, Inc.", "originalName": "Builder.io, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.builder.io/platform/code", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.builder.io/platform/code" } ], "news": [], "links": { "interactive": "products/builder-code--b845.html", "reading": "read/en/products/builder-code--b845.html", "markdown": "read/en/products/builder-code--b845.md", "json": "read/en/products/builder-code--b845.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "official-google-business-20261020", "relation": "company", "affectedProducts": [ { "id": "b15", "name": "Gemini" } ], "importance": "minor", "product": "Gemini", "title": "Gemini expands tools for small businesses", "summary": "Adds a business hub, app connections and brand context; Google describes a rollout over the following days.", "originalPublishedOn": "2026-10-20", "source": "Google", "sourceUrl": "https://blog.google/innovation-and-ai/products/gemini-app/new-tools-small-business-owners/" }, { "id": "gemini-app", "relation": "company", "affectedProducts": [ { "id": "b15", "name": "Gemini" } ], "importance": "major", "product": "Gemini", "title": "Gemini 4 Argon comes to the Gemini app", "summary": "Google AI Pro and Ultra subscribers can use Gemini 4 Argon for tasks in the Gemini app. Gemini also expands to more than 40 connected apps for workflows including reservations, shopping and business design.", "originalPublishedOn": "2026-10-13", "source": "Google", "sourceUrl": "https://blog.google/innovation-and-ai/products/gemini-app/gemini-4-argon-availability/" }, { "id": "gemini-developers", "relation": "company", "affectedProducts": [ { "id": "b15", "name": "Gemini" } ], "importance": "major", "product": "Gemini", "title": "Google shares Gemini 4 Argon developer updates", "summary": "Gemini 4 Argon opens to developers for multi-step work such as code migrations, enterprise knowledge tasks and cybersecurity defense. Access includes the paid Gemini API tier through Google AI Studio and Android Studio.", "originalPublishedOn": "2026-10-13", "source": "Google", "sourceUrl": "https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-4-argon/" } ], "id": "b847", "language": "en", "name": "Google AI Studio", "originalName": "Google AI Studio", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Tests models, system instructions and multi-turn prompts in a browser, configures tools and output formats and provides Gemini API code.", "introduction": "Google AI Studio is a developer interface for model experiments. Write system instructions and multi-turn conversations in the Playground, adjust model and safety settings and enable supported structured output, function calling, code execution or grounding. Save and share prompts or use Get code to obtain a Gemini API example in a chosen language. It differs from the everyday Gemini chat app; model and tool availability depends on current settings and access.", "capabilities": [], "company": { "name": "Google LLC", "originalName": "Google LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://aistudio.google.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://aistudio.google.com/" } ], "news": [], "links": { "interactive": "products/google-ai-studio--b847.html", "reading": "read/en/products/google-ai-studio--b847.html", "markdown": "read/en/products/google-ai-studio--b847.md", "json": "read/en/products/google-ai-studio--b847.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b849", "language": "en", "name": "Greptile", "originalName": "Greptile", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Builds a codebase graph to review PRs for cross-file issues and team rules, with findings passed to coding assistants.", "introduction": "Greptile indexes files, functions and dependencies, then uses parallel agents to review PR impact across the repository. Team rules, project context and developer comments guide logic, style and security checks. Findings can be sent to coding assistants through MCP or editor integrations. The separate TREX sandbox validation feature is marked Beta; review, runtime testing and self-hosted access have their own conditions.", "capabilities": [], "company": { "name": "Tabnam, Inc.", "originalName": "Tabnam, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.greptile.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.greptile.com/" } ], "news": [], "links": { "interactive": "products/greptile--b849.html", "reading": "read/en/products/greptile--b849.html", "markdown": "read/en/products/greptile--b849.md", "json": "read/en/products/greptile--b849.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b850", "language": "en", "name": "Bito", "originalName": "Bito", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发", "编程开发" ], "categories": [ "Model development", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "模型开发", "category": "Model development", "label": "Visit website", "url": "https://bito.ai/", "summary": "Supplies coding agents with code context, model routing and usage management, reusing the same graph for design and reviews." } ], "summary": "Supplies coding agents with code context, model routing and usage management, reusing the same graph for design and reviews.", "introduction": "Bito’s Governor sits between coding agents and models, supplying files, symbols and dependency context and routing requests by task complexity. Budgets, routing records and usage views work with user-owned provider accounts. The same context engine supports technical design and GitHub, GitLab or Bitbucket reviews. It is model-access and engineering-context infrastructure; cost and quality outcomes depend on tasks and configuration.", "capabilities": [], "company": { "name": "Bito Inc.", "originalName": "Bito Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://bito.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://bito.ai/" } ], "news": [], "links": { "interactive": "products/bito--b850.html", "reading": "read/en/products/bito--b850.html", "markdown": "read/en/products/bito--b850.md", "json": "read/en/products/bito--b850.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b851", "language": "en", "name": "Ellipsis", "originalName": "Ellipsis", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台", "编程开发" ], "categories": [ "Agent development platforms", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "智能体开发平台", "category": "Agent development platforms", "label": "Visit website", "url": "https://www.ellipsis.dev/", "summary": "Defines coding and background agents in YAML, triggered by events, schedules or APIs with cloud environments, permissions, logs and budgets." } ], "summary": "Defines coding and background agents in YAML, triggered by events, schedules or APIs with cloud environments, permissions, logs and budgets.", "introduction": "Ellipsis hosts cloud agents configured with repositories, environments, prompts, models, tools and budgets. API calls, schedules or events start work, with command, file-change and tool-call records and interactive isolated sessions for reviews, dependency updates and background tasks. Teams scope repository permissions per session and inspect logs while interacting with isolated cloud environments.", "capabilities": [], "company": { "name": "Ellipsis AI Inc.", "originalName": "Ellipsis AI Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.ellipsis.dev/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.ellipsis.dev/" } ], "news": [], "links": { "interactive": "products/ellipsis--b851.html", "reading": "read/en/products/ellipsis--b851.html", "markdown": "read/en/products/ellipsis--b851.md", "json": "read/en/products/ellipsis--b851.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b852", "language": "en", "name": "Entelligence", "originalName": "Entelligence", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发", "编程开发" ], "categories": [ "Model development", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "模型开发", "category": "Model development", "label": "Visit website", "url": "https://entelligence.ai/", "summary": "Connects code, PRs, agent sessions and incidents into engineering memory for model routing, reviews and usage analysis." } ], "summary": "Connects code, PRs, agent sessions and incidents into engineering memory for model routing, reviews and usage analysis.", "introduction": "Entelligence organizes code, deployments, incidents and agent sessions into a shared graph for routing and review context. The router chooses models per turn, while reviews use prior incidents, team rules and change impact. Agent Insights, marked Beta, links session steps, retries and costs to PR outcomes. It connects existing assistants and terminal workflows. Teams can inspect routing choices, session costs and change quality together.", "capabilities": [], "company": { "name": "Entelligence", "originalName": "Entelligence", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://entelligence.ai/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://entelligence.ai/" } ], "news": [], "links": { "interactive": "products/entelligence--b852.html", "reading": "read/en/products/entelligence--b852.html", "markdown": "read/en/products/entelligence--b852.md", "json": "read/en/products/entelligence--b852.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b853", "language": "en", "name": "Traycer", "originalName": "Traycer", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Organizes coding agents, plans, memory and artifacts in a shared workspace with terminals, browsers and Git diffs.", "introduction": "Traycer builds a desktop workspace around existing coding agents, linking specs, tasks, conversations, memory and implementation artifacts. Inspect terminals, previews, files and Git diffs and follow work on remote hosts or other devices. Existing agent subscriptions can be used, with optional Traycer Credits and separate cloud-sandbox charges. The homepage marks Automations as coming, so it is not presented here as already available.", "capabilities": [], "company": { "name": "Traycer AI, Inc.", "originalName": "Traycer AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://traycer.ai/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://traycer.ai/" } ], "news": [], "links": { "interactive": "products/traycer--b853.html", "reading": "read/en/products/traycer--b853.html", "markdown": "read/en/products/traycer--b853.md", "json": "read/en/products/traycer--b853.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b854", "language": "en", "name": "PR-Agent", "originalName": "PR-Agent", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Community-maintained AI PR reviewer generates descriptions, findings and code suggestions through comments, CI or CLI.", "introduction": "PR-Agent generates PR descriptions, reviews, improvements and answers through comments, webhooks, CI or a terminal, with configurable models and prompts. The former qodo-ai repository now resolves to The-PR-Agent and is community maintained, separate from Qodo’s hosted review service. Model access and repository permissions are required. Core flows include describe, review, improve and ask; the current README marks /help_docs temporarily disabled.", "capabilities": [], "company": { "name": "The-PR-Agent", "originalName": "The-PR-Agent" }, "officialUrl": "https://github.com/The-PR-Agent/pr-agent", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/The-PR-Agent/pr-agent" } ], "news": [], "links": { "interactive": "products/pr-agent--b854.html", "reading": "read/en/products/pr-agent--b854.html", "markdown": "read/en/products/pr-agent--b854.md", "json": "read/en/products/pr-agent--b854.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b855", "language": "en", "name": "Factory", "originalName": "Factory", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Uses Droid agents to plan, implement and validate changes, with mission monitoring, review, automation and model routing.", "introduction": "Factory brings Droid coding agents to desktop, terminal, web and CLI workflows for planning, implementation and validation using repository context. Mission Control tracks tasks, progress and logs, alongside automation, model routing, PR reviews and repository wikis. Teams set goals, policies and execution locations. The separately listed Droid Computers are dedicated local hardware, distinct from ordinary clients or hosted tasks.", "capabilities": [], "company": { "name": "The San Francisco AI Factory, Inc.", "originalName": "The San Francisco AI Factory, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://factory.com/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://factory.com/" } ], "news": [], "links": { "interactive": "products/factory--b855.html", "reading": "read/en/products/factory--b855.html", "markdown": "read/en/products/factory--b855.md", "json": "read/en/products/factory--b855.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "antigravity-cli-transition-20260519", "relation": "company", "affectedProducts": [ { "id": "b665", "name": "Google Antigravity" } ], "importance": "major", "product": "Google Antigravity", "title": "Google launches Antigravity CLI and outlines consumer Gemini CLI transition", "summary": "Antigravity CLI shares the desktop agent backend and supports background agents, skills, hooks and plugins. The announcement ends original free and Google AI Pro/Ultra Gemini CLI access on June 18 while preserving separate enterprise and paid API paths; initial features are not one-to-one equivalents.", "originalPublishedOn": "2026-05-19", "source": "Google Developers Blog", "sourceUrl": "https://developers.googleblog.com/an-important-update-transitioning-gemini-cli-to-antigravity-cli/" } ], "id": "b856", "language": "en", "name": "Jules", "originalName": "Jules", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Google’s asynchronous coding agent works on GitHub tasks in a cloud VM, providing a plan, diffs and a PR.", "introduction": "Jules accepts a GitHub repository, branch and a task covering fixes, tests, documentation or features. It clones code into a cloud VM, prepares dependencies and proposes a plan for review before changes, then returns diffs and a PR workflow. Root AGENTS.md files supply project conventions. Official docs call it experimental, with task and concurrency allowances varying by access plan; execution happens remotely.", "capabilities": [], "company": { "name": "Google LLC", "originalName": "Google LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://jules.google/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://jules.google/" } ], "news": [], "links": { "interactive": "products/jules--b856.html", "reading": "read/en/products/jules--b856.html", "markdown": "read/en/products/jules--b856.md", "json": "read/en/products/jules--b856.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b857", "language": "en", "name": "Cosmos", "originalName": "Cosmos", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台", "编程开发" ], "categories": [ "Agent development platforms", "Coding" ], "entryPoints": [ { "kind": "website", "categoryKey": "智能体开发平台", "category": "Agent development platforms", "label": "Visit website", "url": "https://www.augmentcode.com/product/cosmos", "summary": "Configurable expert agents connect tickets, code, review and verification, triggered by events with team approval checkpoints." } ], "summary": "Configurable expert agents connect tickets, code, review and verification, triggered by events with team approval checkpoints.", "introduction": "Cosmos organizes software delivery as event-driven agent workflows. Teams configure experts, environments, tools and integrations for tickets, review, CI investigation and verification, starting from PRs, alerts, schedules or webhooks and pausing at checkpoints. Harness announced acquisition of selected Augment Code assets, including Cosmos, in October 2026. The platform is now also offered as Harness Cosmos.", "capabilities": [], "company": { "name": "Harness, Inc.", "originalName": "Harness, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.augmentcode.com/product/cosmos", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.augmentcode.com/product/cosmos" }, { "kind": "documentation", "url": "https://www.harness.io/blog/harness-acquires-augment-code-cosmos" } ], "news": [ { "id": "cosmos-harness-assets-20261008", "importance": "major", "product": "Cosmos", "title": "Harness acquires selected Augment Code assets including Cosmos", "summary": "Harness announced acquisition of Cosmos, Auggie CLI, the Code Context Engine and related assets, with the team joining. Harness Cosmos is available now, while connections to Harness policy, approval and audit controls are described as future work.", "originalPublishedOn": "2026-10-08", "source": "Harness", "sourceUrl": "https://www.harness.io/blog/harness-acquires-augment-code-cosmos" } ], "links": { "interactive": "products/cosmos--b857.html", "reading": "read/en/products/cosmos--b857.html", "markdown": "read/en/products/cosmos--b857.md", "json": "read/en/products/cosmos--b857.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b858", "language": "en", "name": "Qoder", "originalName": "Qoder", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Combines codebase understanding, completion, agentic work and Repo Wiki across desktop, IDE, JetBrains plugin and CLI.", "introduction": "Qoder uses codebase context for completion, conversations and delegated implementation tasks. Its family includes desktop, IDE, JetBrains plugin and CLI, with Repo Wiki for project structure and mobile progress, instructions and approvals. QoderWake and enterprise integrations are also listed, with access varying by client and workflow. Projects and Discussion are marked Beta on the current page.", "capabilities": [], "company": { "name": "BRIGHT ZENITH PRIVATE LIMITED", "originalName": "BRIGHT ZENITH PRIVATE LIMITED", "country": { "codes": [ "SG" ], "names": [ "Singapore" ], "display": "Singapore", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://qoder.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://qoder.com/" } ], "news": [], "links": { "interactive": "products/qoder--b858.html", "reading": "read/en/products/qoder--b858.html", "markdown": "read/en/products/qoder--b858.md", "json": "read/en/products/qoder--b858.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b860", "language": "en", "name": "Crush", "originalName": "Crush", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Charm’s terminal coding assistant supports model switching, project sessions, LSP context and MCP tools under FSL-1.1-MIT.", "introduction": "Crush connects code, tools and workflows to models in a terminal, switching models while retaining context and maintaining project sessions. LSP provides code semantics and MCP adds tools, with compatible providers and custom access. The terminal client does not imply local inference; processing depends on provider settings. Its stated license is FSL-1.1-MIT, which should not be treated as an unconditional MIT license.", "capabilities": [], "company": { "name": "Charm", "originalName": "Charm" }, "officialUrl": "https://github.com/charmbracelet/crush", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/charmbracelet/crush" } ], "news": [], "links": { "interactive": "products/crush--b860.html", "reading": "read/en/products/crush--b860.html", "markdown": "read/en/products/crush--b860.md", "json": "read/en/products/crush--b860.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "antigravity-cli-transition-20260519", "relation": "company", "affectedProducts": [ { "id": "b665", "name": "Google Antigravity" } ], "importance": "major", "product": "Google Antigravity", "title": "Google launches Antigravity CLI and outlines consumer Gemini CLI transition", "summary": "Antigravity CLI shares the desktop agent backend and supports background agents, skills, hooks and plugins. The announcement ends original free and Google AI Pro/Ultra Gemini CLI access on June 18 while preserving separate enterprise and paid API paths; initial features are not one-to-one equivalents.", "originalPublishedOn": "2026-05-19", "source": "Google Developers Blog", "sourceUrl": "https://developers.googleblog.com/an-important-update-transitioning-gemini-cli-to-antigravity-cli/" } ], "id": "b862", "language": "en", "name": "Gemini CLI", "originalName": "Gemini CLI", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Terminal coding agent for supported enterprise or paid API access; free and Google One access has moved to Antigravity.", "introduction": "Gemini CLI queries and edits repositories, troubleshoots through natural language and supports MCP and scripted workflows. Google’s transition notice separates access paths: free and Google AI Pro/Ultra access moved to Antigravity CLI in June 2026, while enterprise licenses and paid APIs remain separate supported paths. The current README says it is not optimized for Gemini 4 Argon. Choose it according to supported access rather than older universal free-tier promotion.", "capabilities": [], "company": { "name": "Google LLC", "originalName": "Google LLC", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://github.com/google-gemini/gemini-cli", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://github.com/google-gemini/gemini-cli" }, { "kind": "documentation", "url": "https://developers.googleblog.com/an-important-update-transitioning-gemini-cli-to-antigravity-cli/" } ], "news": [], "links": { "interactive": "products/gemini-cli--b862.html", "reading": "read/en/products/gemini-cli--b862.html", "markdown": "read/en/products/gemini-cli--b862.md", "json": "read/en/products/gemini-cli--b862.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b863", "language": "en", "name": "JetBrains Air", "originalName": "JetBrains Air", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "Connects coding agents in JetBrains IDEs and team workspaces, managing parallel tasks, context, diffs and access controls.", "introduction": "JetBrains Air is a multi-agent development workspace connecting Junie, Claude Agent, Codex and ACP-compatible tools. Track parallel IDE sessions, inspect diffs and leave line-level feedback, using existing subscriptions, API keys or JetBrains-managed access with organization controls. Air Teams and cloud runs have staged availability, and mobile is marked coming soon. Junie is a specific agent inside this broader workspace.", "capabilities": [], "company": { "name": "JetBrains s.r.o.", "originalName": "JetBrains s.r.o.", "country": { "codes": [ "CZ" ], "names": [ "Czechia" ], "display": "Czechia", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.jetbrains.com/air/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.jetbrains.com/air/" } ], "news": [ { "id": "official-air-governance-20261022", "importance": "major", "product": "JetBrains Air", "title": "JetBrains Air Governance becomes generally available", "summary": "Centralizes organizational agents, models, permissions and spending, with features depending on the organization’s plan.", "originalPublishedOn": "2026-10-22", "source": "JetBrains", "sourceUrl": "https://blog.jetbrains.com/blog/2026/10/22/air-governance-manage-ai-agents-access-and-spend-throughout-your-organization/" }, { "id": "official-air-eap-20261001", "importance": "major", "product": "JetBrains Air", "title": "JetBrains opens Air in IDEs EAP", "summary": "Offers agent workflows through a plugin or 2026.3 EAP; remote features and some entry points remain restricted.", "originalPublishedOn": "2026-10-01", "source": "JetBrains", "sourceUrl": "https://blog.jetbrains.com/ai/2026/10/air-in-ides-eap/" }, { "id": "official-air-teams-20260928", "importance": "minor", "product": "JetBrains Air", "title": "JetBrains introduces Air Teams", "summary": "Shares agent environments, tools and rules across teams; initially for business customers, with personal access planned later.", "originalPublishedOn": "2026-09-28", "source": "JetBrains", "sourceUrl": "https://blog.jetbrains.com/air/2026/09/introducing-air-teams/" } ], "links": { "interactive": "products/jetbrains-air--b863.html", "reading": "read/en/products/jetbrains-air--b863.html", "markdown": "read/en/products/jetbrains-air--b863.md", "json": "read/en/products/jetbrains-air--b863.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b864", "language": "en", "name": "Sloyd", "originalName": "Sloyd", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Generate 3D models from text or reference images, with parametric templates, texturing, rigging and animation tools.", "introduction": "Sloyd turns object descriptions, photos or sketches into 3D models. Image-based generation produces textured objects, while parametric templates provide controls for changing existing shapes and proportions. Further tools cover texturing, part separation, rigging and animation, supporting concept exploration and initial game assets. Mesh quality, topology and suitability still need checking in the subsequent 3D workflow.", "capabilities": [], "company": { "name": "Sloyd AS", "originalName": "Sloyd AS", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://www.sloyd.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.sloyd.ai/" } ], "news": [], "links": { "interactive": "products/sloyd--b864.html", "reading": "read/en/products/sloyd--b864.html", "markdown": "read/en/products/sloyd--b864.md", "json": "read/en/products/sloyd--b864.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b865", "language": "en", "name": "WorldEngen", "originalName": "WorldEngen", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Direct AI agents using concept art, style guides and greyboxes to generate assets and assemble scenes alongside Blender, Unity and Unreal.", "introduction": "WorldEngen is Masterpiece Studio’s desktop editor for 3D scene production. It gathers concept art, style guides, greyboxes, assets and scenes into a project. Prompts or reference boards guide agents that generate visual material and 3D models and assemble scenes for continued work with Blender, Unity or Unreal. Its focus is scene layout and asset coordination. The earlier Masterpiece X web generator and VR app are marked as legacy products.", "capabilities": [], "company": { "name": "Brinx Software Inc.", "originalName": "Brinx Software Inc.", "country": { "codes": [ "CA" ], "names": [ "Canada" ], "display": "Canada", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://masterpiecex.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://masterpiecex.com/" } ], "news": [], "links": { "interactive": "products/worldengen--b865.html", "reading": "read/en/products/worldengen--b865.html", "markdown": "read/en/products/worldengen--b865.md", "json": "read/en/products/worldengen--b865.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b866", "language": "en", "name": "Alpha3D", "originalName": "Alpha3D", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Turn text or images into 3D meshes, then retopologize, UV-unwrap, texture and rig them through a web app, agent or REST API.", "introduction": "Alpha3D generates 3D meshes from prompts or reference photos and also processes existing models through segmentation, retopology, UV unwrapping, retexturing and rigging. Its Alphred agent can chain generation, retopology and retexturing, confirming credit costs before 3D steps. The platform offers a web app, REST API and connections for Claude, ChatGPT and Blender. These surfaces share a pipeline and credit system rather than implying free or offline processing.", "capabilities": [], "company": { "name": "Alpha 3D OÜ", "originalName": "Alpha 3D OÜ", "country": { "codes": [ "EE" ], "names": [ "Estonia" ], "display": "Estonia", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.alpha3d.io/", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://www.alpha3d.io/" } ], "news": [], "links": { "interactive": "products/alpha3d--b866.html", "reading": "read/en/products/alpha3d--b866.html", "markdown": "read/en/products/alpha3d--b866.md", "json": "read/en/products/alpha3d--b866.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b867", "language": "en", "name": "Hi3D", "originalName": "Hi3D", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Reconstruct 3D models from images, with print-oriented part splitting, connectors, color separation and layout; export STL, OBJ, 3MF, GLB or USDZ.", "introduction": "Hi3D at hitem3d.ai turns photos and sketches into 3D models, with text or image-based concept generation available before reconstruction. Subsequent tools split parts, add connectors, separate color regions and arrange models for printing. Outputs include STL, OBJ, 3MF, GLB and USDZ, with slicer handoff. It targets characters, figurines and print preparation. Free assets have attribution-related license conditions; commercial use and private generation depend on the applicable plan and terms.", "capabilities": [], "company": { "name": "Oceano HK Holding Limited", "originalName": "Oceano HK Holding Limited", "country": { "codes": [ "HK" ], "names": [ "Hong Kong SAR, China" ], "display": "Hong Kong SAR, China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.hitem3d.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://www.hitem3d.ai/" } ], "news": [], "links": { "interactive": "products/hi3d--b867.html", "reading": "read/en/products/hi3d--b867.html", "markdown": "read/en/products/hi3d--b867.md", "json": "read/en/products/hi3d--b867.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b868", "language": "en", "name": "3D AI Studio", "originalName": "3D AI Studio", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Choose 3D generation engines in one workspace, generate models from text or images, then texture, remesh, repair or convert them and build node workflows.", "introduction": "3D AI Studio combines its Prism engines with services including Meshy, Tripo, Rodin and Hunyuan in one generation workspace. Choose an engine per task and create models from text or images, then generate textures, remesh, repair meshes or convert formats. Exports include GLB, OBJ, FBX and STL. Flow connects steps through nodes; MCP and an asynchronous REST API support integration. Available engines and credit costs depend on the selected workflow.", "capabilities": [], "company": { "name": "Hammer Creations, sole proprietorship of Jan Hammer", "originalName": "Hammer Creations, sole proprietorship of Jan Hammer", "country": { "codes": [ "DE" ], "names": [ "Germany" ], "display": "Germany", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.3daistudio.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.3daistudio.com/" } ], "news": [], "links": { "interactive": "products/3d-ai-studio--b868.html", "reading": "read/en/products/3d-ai-studio--b868.html", "markdown": "read/en/products/3d-ai-studio--b868.md", "json": "read/en/products/3d-ai-studio--b868.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b869", "language": "en", "name": "Backflip", "originalName": "Backflip", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Reconstruct parametric CAD with feature trees from drawings or scanned meshes; output editable native geometry or STEP through a Fusion add-in or web app.", "introduction": "Backflip’s Drawing-to-CAD reads geometry and dimensions from engineering drawings to reconstruct editable parametric models. Scan-to-CAD accepts meshes such as STL, OBJ, GLB, GLTF and PLY and produces a native feature tree or STEP. The current surfaces are an Autodesk Fusion add-in and a standalone web app, optimized for 3-axis CNC and turned parts. Onshape support, sheet metal and injection-molding workflows are planned. Dimensions, tolerances and machining suitability still require engineering review.", "capabilities": [], "company": { "name": "Backflip AI, Inc.", "originalName": "Backflip AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.backflip.ai/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.backflip.ai/" } ], "news": [], "links": { "interactive": "products/backflip--b869.html", "reading": "read/en/products/backflip--b869.html", "markdown": "read/en/products/backflip--b869.md", "json": "read/en/products/backflip--b869.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b870", "language": "en", "name": "Zoo Design Studio", "originalName": "Zoo Design Studio", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Combine CAD tools, code and the Zookeeper agent to generate and edit B-rep solid geometry from design prompts.", "introduction": "Zoo Design Studio is a hardware-design CAD environment that combines point-and-click tools, code and its Zookeeper agent. Design prompts guide research, planning and proposed constraints, producing editable B-rep geometry rather than rendering meshes. It offers Mac, Windows, Linux and browser access. The current platform centers on Design; Analyze and Manufacture are identified as future expansion, so complete simulation and toolpath generation should not be assumed available.", "capabilities": [], "company": { "name": "Zoo Corporation", "originalName": "Zoo Corporation", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://zoo.dev/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://zoo.dev/" } ], "news": [], "links": { "interactive": "products/zoo-design-studio--b870.html", "reading": "read/en/products/zoo-design-studio--b870.html", "markdown": "read/en/products/zoo-design-studio--b870.md", "json": "read/en/products/zoo-design-studio--b870.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b871", "language": "en", "name": "Adam", "originalName": "Adam", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Connect CAD, PLM and simulation tools to generate or edit parts from design tasks and create 2D engineering drawings from 3D models.", "introduction": "Adam brings geometry, bills of materials, drawings and revisions into a workspace for mechanical and hardware teams. Tasks include prompt-to-CAD, 3D-to-2D drawing creation and part changes informed by PLM revisions or simulation results. Company documents can inform manufacturability checks, with human approval in workflows. Integrations depend on connected software and permissions; engineers still need to review models, drawings and analysis results.", "capabilities": [], "company": { "name": "Adam AI Labs, Inc", "originalName": "Adam AI Labs, Inc", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://adam.new/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://adam.new/" } ], "news": [], "links": { "interactive": "products/adam--b871.html", "reading": "read/en/products/adam--b871.html", "markdown": "read/en/products/adam--b871.md", "json": "read/en/products/adam--b871.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b872", "language": "en", "name": "TRELLIS", "originalName": "TRELLIS", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Use TRELLIS.2 to generate 3D assets with PBR materials from images, with inference, texture-generation and training code for GPU workflows.", "introduction": "TRELLIS is Microsoft’s 3D generation family; this entry opens TRELLIS.2. The current version uses image conditioning and O-Voxel to generate geometry with PBR properties including base color, roughness, metallic and opacity. It also releases shape-conditioned texture generation, checkpoints and training code. Official testing currently covers Linux, requiring an NVIDIA GPU with at least 24GB VRAM and CUDA tooling. The model and main code use MIT; some rendering dependencies have separate terms.", "capabilities": [], "company": { "name": "Microsoft Corporation", "originalName": "Microsoft Corporation", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://github.com/microsoft/TRELLIS.2", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://github.com/microsoft/TRELLIS.2" }, { "kind": "documentation", "url": "https://microsoft.github.io/TRELLIS.2/" }, { "kind": "documentation", "url": "https://github.com/microsoft/TRELLIS" } ], "news": [], "links": { "interactive": "products/trellis--b872.html", "reading": "read/en/products/trellis--b872.html", "markdown": "read/en/products/trellis--b872.md", "json": "read/en/products/trellis--b872.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b874", "language": "en", "name": "Everything Universe", "originalName": "Everything Universe", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Generate 3D models from text or images, then adjust rigs by character category, add animation or identify movable parts of objects such as vehicles.", "introduction": "Everything Universe is the current brand on the Anything World website. Generate Anything accepts text or an image of one object and creates downloadable models; documentation lists FBX, GLB, GLTF, OBJ and USDZ. Animate Anything checks category, orientation and symmetry, then provides adjustable rigs and motions for characters or animals; vehicles follow a part-separation workflow. Unity and Unreal integrations support asset workflows. The general 3D library is a separate content surface.", "capabilities": [], "company": { "name": "Everything Universe Ltd.", "originalName": "Everything Universe Ltd.", "country": { "codes": [ "GB" ], "names": [ "United Kingdom" ], "display": "United Kingdom", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://everythinguniver.se/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://everythinguniver.se/" }, { "kind": "documentation", "url": "https://anything-world.gitbook.io/anything-world/quickstart/generate-anything-quickstart" }, { "kind": "documentation", "url": "https://anything-world.gitbook.io/anything-world/quickstart/animate-anything-quickstart" } ], "news": [], "links": { "interactive": "products/everything-universe--b874.html", "reading": "read/en/products/everything-universe--b874.html", "markdown": "read/en/products/everything-universe--b874.md", "json": "read/en/products/everything-universe--b874.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b875", "language": "en", "name": "DeepMotion", "originalName": "DeepMotion", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Extract body motion from video and retarget it to characters, or generate, extend and blend 3D motion with text; export FBX, BVH, GLB or MP4.", "introduction": "DeepMotion’s Animate 3D extracts body, face and hand motion from video and retargets it to imported FBX, GLB or VRM characters. Foot locking, smoothing and the Rotoscope Pose Editor help refine results. SayMotion generates 3D motion from text, using inpainting to add, extend or blend sequences. Browser workflows use cloud processing and support FBX, BVH, GLB and MP4 exports. API and real-time SDK access are separate surfaces with plan-dependent allowances.", "capabilities": [], "company": { "name": "DeepMotion", "originalName": "DeepMotion", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.deepmotion.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.deepmotion.com/" }, { "kind": "documentation", "url": "https://www.deepmotion.com/animate-3d" }, { "kind": "documentation", "url": "https://www.deepmotion.com/saymotion" } ], "news": [], "links": { "interactive": "products/deepmotion--b875.html", "reading": "read/en/products/deepmotion--b875.html", "markdown": "read/en/products/deepmotion--b875.md", "json": "read/en/products/deepmotion--b875.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b876", "language": "en", "name": "Autodesk Flow Studio", "originalName": "Autodesk Flow Studio", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Extract motion and camera information from footage, composite CG characters and hand animation, clean plates, masks and scenes to downstream VFX tools.", "introduction": "Autodesk Flow Studio, formerly Wonder Studio, starts with single-camera footage and automates CG character animation, lighting and compositing. Workflows include markerless capture, retargeting, camera tracking, clean plates and alpha masks, with scene and element exports for Blender, Maya and Unreal. The platform also includes a 3D editor, image/text-to-3D and rigging tools. Processing is cloud-based; model access, exports and credits depend on the plan, with editable handoffs for human post-production.", "capabilities": [], "company": { "name": "Autodesk", "originalName": "Autodesk", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.autodesk.com/products/flow-studio/product-details", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.autodesk.com/products/flow-studio/product-details" }, { "kind": "documentation", "url": "https://help.wonderdynamics.com/working-with-wonder-studio-getting-started/" }, { "kind": "documentation", "url": "https://help.wonderdynamics.com/" } ], "news": [], "links": { "interactive": "products/autodesk-flow-studio--b876.html", "reading": "read/en/products/autodesk-flow-studio--b876.html", "markdown": "read/en/products/autodesk-flow-studio--b876.md", "json": "read/en/products/autodesk-flow-studio--b876.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b877", "language": "en", "name": "Move Genesis", "originalName": "Move Genesis", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "A multi-camera markerless capture system for studios, processing synchronized camera footage locally through an NVIDIA GPU desktop application.", "introduction": "Genesis is Move’s current markerless capture system for professional studios, reconstructing performances from multiple cameras and processing them in a local NVIDIA GPU desktop application. The documented configuration uses 6–12 Z cameras and lenses, wired installation and checkerboard calibration. Peel Capture integration supports shoot management. It requires hardware deployment and suitability assessment; the separate single-camera Move One product does not define Genesis requirements.", "capabilities": [], "company": { "name": "Move Ai Ltd", "originalName": "Move Ai Ltd", "country": { "codes": [ "GB" ], "names": [ "United Kingdom" ], "display": "United Kingdom", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://move.ai/products", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://move.ai/products" }, { "kind": "documentation", "url": "https://docs.move.ai/knowledge" } ], "news": [], "links": { "interactive": "products/move-genesis--b877.html", "reading": "read/en/products/move-genesis--b877.html", "markdown": "read/en/products/move-genesis--b877.md", "json": "read/en/products/move-genesis--b877.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b878", "language": "en", "name": "Rokoko Create", "originalName": "Rokoko Create", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Turn video or text into 3D motion on the web, then clean, loop and retarget in Rokoko Studio, with plan-dependent FBX or BVH export.", "introduction": "Rokoko Create combines Vision AI video capture and Text-to-Motion in a web platform. Upload a performance video or describe an action to generate character-motion clips, then view, smooth, edit, loop or retarget them in Rokoko Studio before export to 3D software. FBX, BVH, custom-character retargeting and import allowances differ by plan. Vision 3.0 is integrated into Create rather than offered as another standalone app.", "capabilities": [], "company": { "name": "Rokoko", "originalName": "Rokoko", "country": { "codes": [ "DK" ], "names": [ "Denmark" ], "display": "Denmark", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://create.rokoko.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://create.rokoko.com/" }, { "kind": "documentation", "url": "https://www.rokoko.com/products/vision" } ], "news": [], "links": { "interactive": "products/rokoko-create--b878.html", "reading": "read/en/products/rokoko-create--b878.html", "markdown": "read/en/products/rokoko-create--b878.md", "json": "read/en/products/rokoko-create--b878.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b879", "language": "en", "name": "Plask", "originalName": "Plask", "library": "tools", "category": "3D creation", "categoryKey": "3D创作", "categoryKeys": [ "3D创作" ], "categories": [ "3D creation" ], "entryPoints": [], "summary": "Extract motion from video for custom characters, adjust scene lighting and cameras, then export FBX, BVH, GLB or rendered video.", "introduction": "Plask Motion extracts body motion from uploaded video and applies it to imported 3D characters, with scene, lighting, camera and depth-of-field controls. It exports FBX, BVH and GLB for Blender, Unreal, Maya and compatible tools, or renders video. The separate Plask Live workflow streams motion into Blender or Unreal; its camera helper currently requires macOS 14 or later, an internet connection and API credits, distinct from the ordinary web workflow.", "capabilities": [], "company": { "name": "Plask USA Inc.", "originalName": "Plask USA Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://plask.ai/en-US", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://plask.ai/en-US" } ], "news": [], "links": { "interactive": "products/plask--b879.html", "reading": "read/en/products/plask--b879.html", "markdown": "read/en/products/plask--b879.md", "json": "read/en/products/plask--b879.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b880", "language": "en", "name": "Kinetix Kamo-1", "originalName": "Kinetix Kamo-1", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Control generated video with acting references, 3D character motion and camera trajectories, coordinating performance and camera movement in one shot.", "introduction": "Kamo-1 is Kinetix’s 3D-conditioned video model. It combines RGB acting references, reconstructed 3D character motion, camera trajectories, images and prompts to steer a shot. Depth and pose conditioning coordinate character and camera movement; the final output is video rather than an editable CAD or game-engine mesh. The official Access Model link opens the Kinetix video service; availability and access conditions depend on its current rollout.", "capabilities": [], "company": { "name": "Kinetix SAS", "originalName": "Kinetix SAS", "country": { "codes": [ "FR" ], "names": [ "France" ], "display": "France", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://kinetix.tech/research-video", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://kinetix.tech/research-video" }, { "kind": "documentation", "url": "https://kinetix.tech/" } ], "news": [], "links": { "interactive": "products/kinetix-kamo-1--b880.html", "reading": "read/en/products/kinetix-kamo-1--b880.html", "markdown": "read/en/products/kinetix-kamo-1--b880.md", "json": "read/en/products/kinetix-kamo-1--b880.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b882", "language": "en", "name": "faster-whisper", "originalName": "faster-whisper", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "A CTranslate2-based Whisper implementation with CPU/GPU quantization, batched transcription, word timestamps and voice-activity filtering.", "introduction": "faster-whisper runs compatible Whisper models through CTranslate2 to produce text and timed segments. Its Python interface supports batched transcription, word timestamps, Silero VAD filtering and language detection, with quantized CPU or GPU computation. It suits self-managed services and offline batch processing. Model files must be prepared, and GPU acceleration requires matching CUDA, cuDNN and CTranslate2 versions; speed depends on the model and hardware.", "capabilities": [], "company": { "name": "SYSTRAN", "originalName": "SYSTRAN" }, "officialUrl": "https://github.com/SYSTRAN/faster-whisper", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/SYSTRAN/faster-whisper" } ], "news": [], "links": { "interactive": "products/faster-whisper--b882.html", "reading": "read/en/products/faster-whisper--b882.html", "markdown": "read/en/products/faster-whisper--b882.md", "json": "read/en/products/faster-whisper--b882.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b883", "language": "en", "name": "whisper.cpp", "originalName": "whisper.cpp", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "Run Whisper transcription locally in C/C++, with CPU, Metal, CUDA, Vulkan and quantization support for desktop, mobile and browser integration.", "introduction": "whisper.cpp is ggml-org’s Whisper inference implementation, with a C-style API and command-line examples that turn audio into transcripts and timing information. Backends include CPU, Apple Metal, CUDA and Vulkan, alongside quantization and VAD. Examples cover iOS, Android and WebAssembly integration. After the required model files are prepared, suitable builds can perform local inference; available acceleration and output options depend on the platform and build configuration.", "capabilities": [], "company": { "name": "ggml-org", "originalName": "ggml-org" }, "officialUrl": "https://github.com/ggml-org/whisper.cpp", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/ggml-org/whisper.cpp" } ], "news": [], "links": { "interactive": "products/whisper-cpp--b883.html", "reading": "read/en/products/whisper-cpp--b883.html", "markdown": "read/en/products/whisper-cpp--b883.md", "json": "read/en/products/whisper-cpp--b883.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b884", "language": "en", "name": "WhisperX", "originalName": "WhisperX", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "Combine batched ASR, phoneme forced alignment and speaker diarization to create transcripts with word timestamps and anonymous speaker labels.", "introduction": "WhisperX chains faster-whisper transcription, VAD segmentation, language-specific phoneme alignment and pyannote diarization for word timelines, subtitles and speaker-labeled transcripts. Recognition, alignment and diarization are separate stages. The current pyannote model requires accepting its terms and providing a Hugging Face token. Overlapping speech, out-of-dictionary words and numbers may not align accurately; speaker labels do not identify real names.", "capabilities": [], "company": { "name": "WhisperX", "originalName": "WhisperX" }, "officialUrl": "https://github.com/m-bain/whisperX", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/m-bain/whisperX" } ], "news": [], "links": { "interactive": "products/whisperx--b884.html", "reading": "read/en/products/whisperx--b884.html", "markdown": "read/en/products/whisperx--b884.md", "json": "read/en/products/whisperx--b884.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b885", "language": "en", "name": "FunASR", "originalName": "FunASR", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "Compose ASR, VAD, punctuation, timestamps and speaker clustering into offline, streaming or edge speech-processing services.", "introduction": "FunASR is a speech-processing toolkit whose AutoModel interface loads recognition, VAD, punctuation, emotion or speaker models into offline and streaming workflows. Pipelines produce text, timestamps and anonymous speaker indices within a recording; language coverage and hardware requirements depend on the selected models. SenseVoiceSmall with FSMN-VAD and CAM++ forms a diarization pipeline rather than a single model’s native capability. Toolkit code uses MIT, while model terms are separate.", "capabilities": [], "company": { "name": "ModelScope", "originalName": "ModelScope" }, "officialUrl": "https://github.com/modelscope/FunASR", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/modelscope/FunASR" }, { "kind": "documentation", "url": "https://www.funasr.com/" } ], "news": [], "links": { "interactive": "products/funasr--b885.html", "reading": "read/en/products/funasr--b885.html", "markdown": "read/en/products/funasr--b885.md", "json": "read/en/products/funasr--b885.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b886", "language": "en", "name": "SenseVoice", "originalName": "SenseVoice", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "Use SenseVoiceSmall for transcripts, language, emotion and audio-event tags across Mandarin, Cantonese, English, Japanese and Korean.", "introduction": "SenseVoice is a speech-understanding family. The released SenseVoiceSmall encodes transcription, language, emotion and audio-event information into its output. Its published coverage is Mandarin, Cantonese, English, Japanese and Korean; claims about other research variants should not be applied to Small. Speaker diarization requires additional VAD and speaker models through FunASR. Repository code uses MIT, while official Small weights follow the FunASR model license linked from their card.", "capabilities": [], "company": { "name": "FunAudioLLM", "originalName": "FunAudioLLM" }, "officialUrl": "https://github.com/QwenAudio/SenseVoice", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/QwenAudio/SenseVoice" }, { "kind": "documentation", "url": "https://huggingface.co/FunAudioLLM/SenseVoiceSmall" } ], "news": [], "links": { "interactive": "products/sensevoice--b886.html", "reading": "read/en/products/sensevoice--b886.html", "markdown": "read/en/products/sensevoice--b886.md", "json": "read/en/products/sensevoice--b886.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b887", "language": "en", "name": "CosyVoice", "originalName": "CosyVoice", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Synthesize multilingual speech from text and reference audio, with streaming input/output, pronunciation correction and language, emotion or speed instructions.", "introduction": "CosyVoice is a deployable speech-synthesis family. Current Fun-CosyVoice 3.0 covers nine languages, reference-audio conditioning and cross-language voice reproduction. Instructions control dialect, emotion, speed and volume; Chinese pinyin or English phonemes can correct pronunciation. Streaming text input and audio output support integration. Official base and RL checkpoints, training and inference code are provided. The current model card and main code declare Apache 2.0; runtime dependencies vary by version.", "capabilities": [], "company": { "name": "FunAudioLLM", "originalName": "FunAudioLLM" }, "officialUrl": "https://github.com/QwenAudio/CosyVoice", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/QwenAudio/CosyVoice" }, { "kind": "documentation", "url": "https://huggingface.co/FunAudioLLM/Fun-CosyVoice3-0.5B-2512" } ], "news": [], "links": { "interactive": "products/cosyvoice--b887.html", "reading": "read/en/products/cosyvoice--b887.html", "markdown": "read/en/products/cosyvoice--b887.md", "json": "read/en/products/cosyvoice--b887.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b888", "language": "en", "name": "Fish Speech", "originalName": "Fish Speech", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "A deployable speech project using Drama 3 for long multi-character audio, with emotion instructions, iterative revision and local edits; also runs S2-Pro.", "introduction": "Fish Speech provides command-line, API-server and WebUI deployment code for speech models, distinct from the hosted Fish Audio platform. Current Drama 3 targets multi-character scenes and long content, with natural-language emotion tags, iterative revision and local speech editing; the same runtime also supports previous-generation S2-Pro. Drama 3 ships with a Community License that conditions commercial use and hosted services. S2-Pro weights retain a Research License, so downloadable code does not imply unrestricted commercial model use.", "capabilities": [], "company": { "name": "Fish Audio", "originalName": "Fish Audio" }, "officialUrl": "https://github.com/fishaudio/fish-speech", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/fishaudio/fish-speech" }, { "kind": "documentation", "url": "https://huggingface.co/fishaudio/drama-3" }, { "kind": "documentation", "url": "https://speech.fish.audio/" } ], "news": [], "links": { "interactive": "products/fish-speech--b888.html", "reading": "read/en/products/fish-speech--b888.html", "markdown": "read/en/products/fish-speech--b888.md", "json": "read/en/products/fish-speech--b888.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b889", "language": "en", "name": "F5-TTS", "originalName": "F5-TTS", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Generate speech from reference audio, its transcript and target text, with chunked inference, multi-voice sequences and fine-tuning.", "introduction": "F5-TTS conditions new speech on reference audio and its transcript. Command-line and Gradio workflows support chunked synthesis, multiple styles and speakers, plus training and fine-tuning. Omitting the reference transcript invokes an additional recognition model. Code uses MIT, while official pretrained weights use non-commercial CC-BY-NC terms; code, weights and training data have distinct usage conditions.", "capabilities": [], "company": { "name": "F5-TTS project", "originalName": "F5-TTS project" }, "officialUrl": "https://github.com/SWivid/F5-TTS", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/SWivid/F5-TTS" }, { "kind": "documentation", "url": "https://huggingface.co/SWivid/F5-TTS" } ], "news": [], "links": { "interactive": "products/f5-tts--b889.html", "reading": "read/en/products/f5-tts--b889.html", "markdown": "read/en/products/f5-tts--b889.md", "json": "read/en/products/f5-tts--b889.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b890", "language": "en", "name": "GPT-SoVITS", "originalName": "GPT-SoVITS", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Synthesize speech from a short reference or prepare data to fine-tune a voice; the WebUI includes vocal separation, slicing, recognition and text labeling.", "introduction": "GPT-SoVITS combines few-shot voice adaptation and TTS in a WebUI. Use reference speech directly or prepare a dataset to train GPT/SoVITS models. Tools cover vocal separation, automatic slicing, Chinese ASR and text labeling; documented inference languages include Chinese, English, Japanese, Korean and Cantonese. Model generations differ in resource needs. Code uses MIT; selected weights and external components require separate license checks.", "capabilities": [], "company": { "name": "GPT-SoVITS project", "originalName": "GPT-SoVITS project" }, "officialUrl": "https://github.com/RVC-Boss/GPT-SoVITS", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/RVC-Boss/GPT-SoVITS" } ], "news": [], "links": { "interactive": "products/gpt-sovits--b890.html", "reading": "read/en/products/gpt-sovits--b890.html", "markdown": "read/en/products/gpt-sovits--b890.md", "json": "read/en/products/gpt-sovits--b890.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b891", "language": "en", "name": "Kokoro", "originalName": "Kokoro", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "An 82M-parameter open-weight TTS model that reads text with language and voice selections and produces audio chunks through Python.", "introduction": "Kokoro’s KPipeline accepts text, a language code and a preset voice. Misaki handles grapheme-to-phoneme processing, and generated audio chunks can be saved as WAV. Integration requires model and voice files plus language dependencies; this workflow selects provided voices rather than cloning arbitrary reference audio. Official weights use Apache 2.0. Language and voice inventories depend on the version, and the entry opens the author’s model card.", "capabilities": [], "company": { "name": "hexgrad", "originalName": "hexgrad" }, "officialUrl": "https://huggingface.co/hexgrad/Kokoro-82M", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://huggingface.co/hexgrad/Kokoro-82M" }, { "kind": "documentation", "url": "https://github.com/hexgrad/kokoro" } ], "news": [], "links": { "interactive": "products/kokoro--b891.html", "reading": "read/en/products/kokoro--b891.html", "markdown": "read/en/products/kokoro--b891.md", "json": "read/en/products/kokoro--b891.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b892", "language": "en", "name": "Chatterbox", "originalName": "Chatterbox", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "A family for multilingual voice cloning and efficient English TTS, using reference audio, expression controls or non-verbal tags depending on the model.", "introduction": "Chatterbox is Resemble AI’s deployable TTS family. Multilingual V3 targets multilingual reference-voice generation; Turbo and Nano primarily target English with tags such as laughter or coughing, while Nano serves tighter resource budgets. Python interfaces generate audio from text and optional reference clips, with Perth watermarking. Languages, controls and hardware needs differ by model; multilingual coverage does not apply to every variant. The main project and official model card declare MIT.", "capabilities": [], "company": { "name": "Resemble AI, Inc.", "originalName": "Resemble AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://github.com/resemble-ai/chatterbox", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://github.com/resemble-ai/chatterbox" }, { "kind": "documentation", "url": "https://huggingface.co/ResembleAI/chatterbox" } ], "news": [], "links": { "interactive": "products/chatterbox--b892.html", "reading": "read/en/products/chatterbox--b892.html", "markdown": "read/en/products/chatterbox--b892.md", "json": "read/en/products/chatterbox--b892.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b893", "language": "en", "name": "OpenVoice", "originalName": "OpenVoice", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Transfer voice color from a short reference into newly synthesized speech; V2 natively covers Chinese, English, French, Spanish, Japanese and Korean.", "introduction": "OpenVoice pairs tone-color conversion with a base TTS system: extract voice features from a reference, then convert synthesized speech to that voice. V2 natively supports Chinese, English, French, Spanish, Japanese and Korean, with documented workflows using MeloTTS. Style controls include rhythm, pauses, intonation and accent. Official local guidance targets Linux developers; V1 and V2 declare MIT. Deployment also requires checkpoints and base-synthesis dependencies.", "capabilities": [], "company": { "name": "MyShell", "originalName": "MyShell" }, "officialUrl": "https://github.com/myshell-ai/OpenVoice", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/myshell-ai/OpenVoice" }, { "kind": "documentation", "url": "https://github.com/myshell-ai/OpenVoice/blob/main/docs/USAGE.md" } ], "news": [], "links": { "interactive": "products/openvoice--b893.html", "reading": "read/en/products/openvoice--b893.html", "markdown": "read/en/products/openvoice--b893.md", "json": "read/en/products/openvoice--b893.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b894", "language": "en", "name": "MeloTTS", "originalName": "MeloTTS", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "A multilingual, multi-accent TTS library with voice and speed selection and WAV output; its Chinese voice supports mixed Chinese and English.", "introduction": "MeloTTS uses a language-specific model, preset speaker and speed setting to generate speech files. Documented choices include several English accents plus Chinese, French, Spanish, Japanese and Korean; the Chinese speaker handles mixed Chinese-English text. Python, CLI, WebUI and custom-data training guides are available. CPU/GPU performance depends on configuration rather than a universal real-time guarantee. Library code declares MIT; model and language dependencies must be prepared.", "capabilities": [], "company": { "name": "MyShell", "originalName": "MyShell" }, "officialUrl": "https://github.com/myshell-ai/MeloTTS", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/myshell-ai/MeloTTS" }, { "kind": "documentation", "url": "https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md" } ], "news": [], "links": { "interactive": "products/melotts--b894.html", "reading": "read/en/products/melotts--b894.html", "markdown": "read/en/products/melotts--b894.md", "json": "read/en/products/melotts--b894.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b895", "language": "en", "name": "Parler-TTS", "originalName": "Parler-TTS", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Provide separate spoken text and voice descriptions to control pitch, pace, expression and recording character, or select a known speaker.", "introduction": "Parler-TTS separately encodes the words to speak and a style description, such as pitch, pace, expressiveness or recording distance, then generates audio. Explore random voices or name a speaker known to the model; this is not an arbitrary-reference cloning workflow. The repository provides Mini/Large inference and training code. The official Mini v1 card identifies English and Apache 2.0; language coverage and resource needs are checkpoint-specific.", "capabilities": [], "company": { "name": "Hugging Face, Inc.", "originalName": "Hugging Face, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://github.com/huggingface/parler-tts", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://github.com/huggingface/parler-tts" }, { "kind": "documentation", "url": "https://huggingface.co/parler-tts/parler-tts-mini-v1" } ], "news": [], "links": { "interactive": "products/parler-tts--b895.html", "reading": "read/en/products/parler-tts--b895.html", "markdown": "read/en/products/parler-tts--b895.md", "json": "read/en/products/parler-tts--b895.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b896", "language": "en", "name": "Dia", "originalName": "Dia", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Build English two-speaker dialogue with speaker tags and audio prefixes for voice conditioning; current Dia2 provides checkpoints, scripts and WAV output.", "introduction": "Dia is Nari Labs’ dialogue-speech family; this entry opens Dia2. Scripts distinguish speakers with [S1]/[S2] tags and can use per-speaker audio prefixes to condition English dialogue saved as WAV. Current documentation limits generation to two minutes. The model has a streaming design, but the separate TTS Server with real streaming remains planned rather than an available hosted API. Main code uses Apache 2.0; Mimi and other components retain their licenses.", "capabilities": [], "company": { "name": "Nari Labs", "originalName": "Nari Labs", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://github.com/nari-labs/dia2", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://github.com/nari-labs/dia2" }, { "kind": "documentation", "url": "https://huggingface.co/nari-labs/Dia2-2B" }, { "kind": "documentation", "url": "https://github.com/nari-labs/dia" } ], "news": [], "links": { "interactive": "products/dia--b896.html", "reading": "read/en/products/dia--b896.html", "markdown": "read/en/products/dia--b896.md", "json": "read/en/products/dia--b896.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b897", "language": "en", "name": "IndexTTS", "originalName": "IndexTTS", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Synthesize a reference voice with IndexTTS 2.5 across Chinese, English, Japanese, Spanish and Arabic, with emotion, speed and pronunciation controls.", "introduction": "IndexTTS extracts voice characteristics from reference audio and synthesizes new text. Current IndexTTS-2.5 separates voice and emotion conditions, with speed scaling and pronunciation correction through Chinese pinyin, English CMU phonemes and Japanese kana. It supports Chinese, English, Japanese, Spanish and Arabic through WebUI and Python workflows. Speed scaling is not arbitrary exact-duration generation. Model and code follow the bilibili Model Use License, including additional conditions for large-scale commercial use.", "capabilities": [], "company": { "name": "bilibili", "originalName": "bilibili" }, "officialUrl": "https://github.com/index-tts/index-tts", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/index-tts/index-tts" }, { "kind": "documentation", "url": "https://huggingface.co/IndexTeam/IndexTTS-2.5" } ], "news": [], "links": { "interactive": "products/indextts--b897.html", "reading": "read/en/products/indextts--b897.html", "markdown": "read/en/products/indextts--b897.md", "json": "read/en/products/indextts--b897.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b898", "language": "en", "name": "Qwen3-TTS", "originalName": "Qwen3-TTS", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Choose VoiceDesign, CustomVoice or Base checkpoints for described voices, preset-voice control or reference cloning across ten languages.", "introduction": "Qwen3-TTS separates tasks by checkpoint: VoiceDesign creates voices from descriptions, CustomVoice uses preset speakers, and Base reproduces reference voices and supports fine-tuning. Released models cover ten languages, but instruction control differs between sizes and variants. Python, local WebUI, streaming and non-streaming workflows are documented. Hosted APIs require separate account and service configuration. Main code and the reviewed official model card declare Apache 2.0.", "capabilities": [], "company": { "name": "Qwen Team", "originalName": "Qwen Team", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://github.com/QwenLM/Qwen3-TTS", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://github.com/QwenLM/Qwen3-TTS" }, { "kind": "documentation", "url": "https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign" } ], "news": [], "links": { "interactive": "products/qwen3-tts--b898.html", "reading": "read/en/products/qwen3-tts--b898.html", "markdown": "read/en/products/qwen3-tts--b898.md", "json": "read/en/products/qwen3-tts--b898.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b899", "language": "en", "name": "VoxCPM", "originalName": "VoxCPM", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Design voices from descriptions or synthesize with reference audio and style guidance; current VoxCPM2 supports multilingual streaming and 48kHz output.", "introduction": "VoxCPM generates continuous speech representations. Current VoxCPM2 supports voice design from descriptions or synthesis conditioned on reference audio, transcripts and optional style guidance. Its documentation lists thirty languages and 48kHz output, with Python, CLI, WebUI, streaming and fine-tuning paths. Hardware requirements vary by backend; third-party acceleration is not enabled in every installation. Main code and the current VoxCPM2 card declare Apache 2.0.", "capabilities": [], "company": { "name": "OpenBMB", "originalName": "OpenBMB" }, "officialUrl": "https://github.com/OpenBMB/VoxCPM", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/OpenBMB/VoxCPM" }, { "kind": "documentation", "url": "https://huggingface.co/openbmb/VoxCPM2" } ], "news": [], "links": { "interactive": "products/voxcpm--b899.html", "reading": "read/en/products/voxcpm--b899.html", "markdown": "read/en/products/voxcpm--b899.md", "json": "read/en/products/voxcpm--b899.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b900", "language": "en", "name": "VibeVoice", "originalName": "VibeVoice", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入", "音频音乐" ], "categories": [ "Speech recognition & input", "Audio & music" ], "entryPoints": [ { "kind": "website", "categoryKey": "语音识别与输入", "category": "Speech recognition & input", "label": "Visit website", "url": "https://github.com/microsoft/VibeVoice", "summary": "Use ASR checkpoints for transcripts, timestamps and speaker segments, or a separate Realtime model for streaming English single-speaker TTS." } ], "summary": "Use ASR checkpoints for transcripts, timestamps and speaker segments, or a separate Realtime model for streaming English single-speaker TTS.", "introduction": "VibeVoice contains task-specific speech models. ASR takes long recordings and hotword context to jointly return text, timestamps and speaker segments; ASR-Streaming emits text as audio chunks arrive. Realtime-0.5B is a separate English single-speaker TTS model using prepared voice prompts, not the same capability set as long-form multi-speaker models. Official inference and serving examples are available. Reviewed ASR and Realtime cards declare MIT; scope remains model-specific.", "capabilities": [], "company": { "name": "Microsoft Corporation", "originalName": "Microsoft Corporation", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://github.com/microsoft/VibeVoice", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://github.com/microsoft/VibeVoice" }, { "kind": "documentation", "url": "https://github.com/microsoft/VibeVoice/blob/main/docs/vibevoice-asr.md" }, { "kind": "documentation", "url": "https://github.com/microsoft/VibeVoice/blob/main/docs/vibevoice-asr-streaming.md" }, { "kind": "documentation", "url": "https://github.com/microsoft/VibeVoice/blob/main/docs/vibevoice-realtime-0.5b.md" } ], "news": [], "links": { "interactive": "products/vibevoice--b900.html", "reading": "read/en/products/vibevoice--b900.html", "markdown": "read/en/products/vibevoice--b900.md", "json": "read/en/products/vibevoice--b900.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b901", "language": "en", "name": "Moshi", "originalName": "Moshi", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Model user and assistant audio streams together for full-duplex spoken dialogue, with PyTorch, MLX and Rust inference implementations.", "introduction": "Moshi jointly models user audio, system audio and text, allowing listening and speaking to overlap instead of waiting for a complete recording to be transcribed. It uses the Mimi streaming codec, with PyTorch research code, Apple-device MLX, a Rust backend and web client. Hardware and quantization vary by implementation. Python and client code use MIT, Rust uses Apache, and official weights use CC-BY 4.0.", "capabilities": [], "company": { "name": "Kyutai", "originalName": "Kyutai", "country": { "codes": [ "FR" ], "names": [ "France" ], "display": "France", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://github.com/kyutai-labs/moshi", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://github.com/kyutai-labs/moshi" } ], "news": [], "links": { "interactive": "products/moshi--b901.html", "reading": "read/en/products/moshi--b901.html", "markdown": "read/en/products/moshi--b901.md", "json": "read/en/products/moshi--b901.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b903", "language": "en", "name": "FunClip", "originalName": "FunClip", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Recognize video speech, select transcript passages or speaker segments, and export clips with SRT subtitles; LLM-assisted selection is optional.", "introduction": "FunClip uses recognized text, timing and speaker labels to edit video. Select passages or a speaker in Gradio, combine segments and export clips plus full or segment SRT subtitles. An optional configured LLM helps choose content. Default recognition, speaker models and the optional MOSS path are separate components; labels are anonymous, not real identities. Remote LLM access differs from local recognition. Code uses MIT, and model dependencies must be prepared separately.", "capabilities": [], "company": { "name": "Alibaba Tongyi Lab", "originalName": "Alibaba Tongyi Lab" }, "officialUrl": "https://github.com/modelscope/FunClip", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/modelscope/FunClip" } ], "news": [], "links": { "interactive": "products/funclip--b903.html", "reading": "read/en/products/funclip--b903.html", "markdown": "read/en/products/funclip--b903.md", "json": "read/en/products/funclip--b903.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b904", "language": "en", "name": "Fun-ASR", "originalName": "Fun-ASR", "library": "tools", "category": "Speech recognition & input", "categoryKey": "语音识别与输入", "categoryKeys": [ "语音识别与输入" ], "categories": [ "Speech recognition & input" ], "entryPoints": [], "summary": "End-to-end ASR models: Nano focuses on Chinese, English, Japanese and Chinese dialects; MLT-Nano provides multilingual transcription through FunASR workflows.", "introduction": "Fun-ASR is Tongyi Lab’s recognition-model family, distinct from the multi-model FunASR toolkit. Nano and MLT-Nano have different language scopes, with MLT-Nano targeting thirty-one languages. Direct, Transformers and FunASR workflows provide transcription, with hotwords and streaming depending on the runtime. Timestamps depend on the downloaded checkpoint, not its name alone; diarization needs additional models. Main code and the reviewed official Nano card declare Apache 2.0.", "capabilities": [], "company": { "name": "Alibaba Tongyi Lab", "originalName": "Alibaba Tongyi Lab" }, "officialUrl": "https://github.com/QwenAudio/Fun-ASR", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/QwenAudio/Fun-ASR" }, { "kind": "documentation", "url": "https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512" } ], "news": [], "links": { "interactive": "products/fun-asr--b904.html", "reading": "read/en/products/fun-asr--b904.html", "markdown": "read/en/products/fun-asr--b904.md", "json": "read/en/products/fun-asr--b904.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "minimax-m31-flash-20261019", "relation": "company", "affectedProducts": [ { "id": "b827", "name": "MiniMax Language Models" } ], "importance": "major", "product": "MiniMax 语言模型", "title": "MiniMax releases M3.1 Flash through API and Code", "summary": "MiniMax released M3.1 Flash for agent tasks, coding and computer use through its API, M Plan and MiniMax Code. The announcement schedules weights for later release rather than establishing immediate open-weight availability.", "originalPublishedOn": "2026-10-19", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-m31f" }, { "id": "minimax-music3-20260813", "relation": "company", "affectedProducts": [ { "id": "b910", "name": "MiniMax Music" } ], "importance": "major", "product": "MiniMax Music", "title": "MiniMax releases Music 3.0 for complete-song generation", "summary": "Music 3.0 takes a creative description and optional lyrics. MiniMax describes a single generation covering composition, arrangement, vocals and production for songs up to five minutes. Its architecture separates global song structure from local acoustic detail and revises audio rendering.", "originalPublishedOn": "2026-08-13", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model" }, { "id": "official-minimax-h3-20260803", "relation": "company", "affectedProducts": [ { "id": "b713", "name": "Hailuo AI" } ], "importance": "major", "product": "海螺 AI", "title": "MiniMax releases open H3 models", "summary": "Publishes video-generation variants with different input formats, resolutions and generation methods.", "originalPublishedOn": "2026-08-03", "source": "MiniMax", "sourceUrl": "https://www.minimax.cn/news/minimax-h3-open-source" } ], "id": "b905", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "MiniMax Code", "originalName": "MiniMax Code", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发", "AI办公" ], "categories": [ "Coding", "AI office & writing" ], "entryPoints": [ { "kind": "website", "categoryKey": "编程开发", "category": "Coding", "label": "Visit website", "url": "https://agent.minimax.io/download", "summary": "Connect projects, local files, terminal and browser on desktop, using Coding and Work modes for development, documents, analysis and websites." } ], "summary": "Connect projects, local files, terminal and browser on desktop, using Coding and Work modes for development, documents, analysis and websites.", "introduction": "MiniMax Code offers desktop and CLI workflows. Coding mode retains projects, terminal and code management; Work targets reports, presentations, research and websites. With permission it reads or edits local files and uses browsers and plugins, with cloud handoff and confirmed synchronization. macOS and Windows are supported. Scheduled tasks require an awake computer and running app. The installation-free MiniMax Agent web app is a separate cloud-task surface.", "capabilities": [], "company": { "name": "MiniMax", "originalName": "MiniMax", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://agent.minimax.io/download", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://agent.minimax.io/download" } ], "news": [], "links": { "interactive": "products/minimax-code--b905.html", "reading": "read/en/products/minimax-code--b905.html", "markdown": "read/en/products/minimax-code--b905.md", "json": "read/en/products/minimax-code--b905.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "minimax-m31-flash-20261019", "relation": "company", "affectedProducts": [ { "id": "b827", "name": "MiniMax Language Models" } ], "importance": "major", "product": "MiniMax 语言模型", "title": "MiniMax releases M3.1 Flash through API and Code", "summary": "MiniMax released M3.1 Flash for agent tasks, coding and computer use through its API, M Plan and MiniMax Code. The announcement schedules weights for later release rather than establishing immediate open-weight availability.", "originalPublishedOn": "2026-10-19", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-m31f" }, { "id": "minimax-music3-20260813", "relation": "company", "affectedProducts": [ { "id": "b910", "name": "MiniMax Music" } ], "importance": "major", "product": "MiniMax Music", "title": "MiniMax releases Music 3.0 for complete-song generation", "summary": "Music 3.0 takes a creative description and optional lyrics. MiniMax describes a single generation covering composition, arrangement, vocals and production for songs up to five minutes. Its architecture separates global song structure from local acoustic detail and revises audio rendering.", "originalPublishedOn": "2026-08-13", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model" }, { "id": "official-minimax-h3-20260803", "relation": "company", "affectedProducts": [ { "id": "b713", "name": "Hailuo AI" } ], "importance": "major", "product": "海螺 AI", "title": "MiniMax releases open H3 models", "summary": "Publishes video-generation variants with different input formats, resolutions and generation methods.", "originalPublishedOn": "2026-08-03", "source": "MiniMax", "sourceUrl": "https://www.minimax.cn/news/minimax-h3-open-source" } ], "id": "b906", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "MiniMax Design", "originalName": "MiniMax Design", "library": "tools", "category": "Images & design", "categoryKey": "图像设计", "categoryKeys": [ "图像设计", "视频创作" ], "categories": [ "Images & design", "Video creation" ], "entryPoints": [ { "kind": "website", "categoryKey": "图像设计", "category": "Images & design", "label": "Visit website", "url": "https://design.minimax.io/", "summary": "Turn briefs into scripts, storyboards, images, video and music through an agent canvas that connects models, plugins and review checkpoints." } ], "summary": "Turn briefs into scripts, storyboards, images, video and music through an agent canvas that connects models, plugins and review checkpoints.", "introduction": "MiniMax Design targets advertising, commerce and brand content. An agent decomposes a brief into scripts, storyboards, video, music and editing steps on a node canvas. Users can select models, reuse skills and plugins, manage local assets and review checkpoints. Official desktop access covers macOS and Windows. Local asset storage does not imply all inference is offline; processing and features depend on service configuration.", "capabilities": [], "company": { "name": "MiniMax", "originalName": "MiniMax", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://design.minimax.io/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://design.minimax.io/" } ], "news": [], "links": { "interactive": "products/minimax-design--b906.html", "reading": "read/en/products/minimax-design--b906.html", "markdown": "read/en/products/minimax-design--b906.md", "json": "read/en/products/minimax-design--b906.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "minimax-m31-flash-20261019", "relation": "company", "affectedProducts": [ { "id": "b827", "name": "MiniMax Language Models" } ], "importance": "major", "product": "MiniMax 语言模型", "title": "MiniMax releases M3.1 Flash through API and Code", "summary": "MiniMax released M3.1 Flash for agent tasks, coding and computer use through its API, M Plan and MiniMax Code. The announcement schedules weights for later release rather than establishing immediate open-weight availability.", "originalPublishedOn": "2026-10-19", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-m31f" }, { "id": "minimax-music3-20260813", "relation": "company", "affectedProducts": [ { "id": "b910", "name": "MiniMax Music" } ], "importance": "major", "product": "MiniMax Music", "title": "MiniMax releases Music 3.0 for complete-song generation", "summary": "Music 3.0 takes a creative description and optional lyrics. MiniMax describes a single generation covering composition, arrangement, vocals and production for songs up to five minutes. Its architecture separates global song structure from local acoustic detail and revises audio rendering.", "originalPublishedOn": "2026-08-13", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model" }, { "id": "official-minimax-h3-20260803", "relation": "company", "affectedProducts": [ { "id": "b713", "name": "Hailuo AI" } ], "importance": "major", "product": "海螺 AI", "title": "MiniMax releases open H3 models", "summary": "Publishes video-generation variants with different input formats, resolutions and generation methods.", "originalPublishedOn": "2026-08-03", "source": "MiniMax", "sourceUrl": "https://www.minimax.cn/news/minimax-h3-open-source" } ], "id": "b907", "language": "en", "name": "Xingye", "originalName": "星野", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [], "summary": "Create AI chat companions around original characters or personas for character-led dialogue and community interaction.", "introduction": "Xingye is a character-interaction product listed by MiniMax. Users customize original characters or personas as AI companions and converse within open-ended stories. The official site provides iOS and Android access. Its focus is character creation, narrative interaction and companion chat. International listings retain the Xingye brand, separate from the independently listed Talkie product.", "capabilities": [], "company": { "name": "MiniMax", "originalName": "MiniMax", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.xingyeai.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.xingyeai.com/" }, { "kind": "documentation", "url": "https://www.minimax.cn/" } ], "news": [], "links": { "interactive": "products/xingye--b907.html", "reading": "read/en/products/xingye--b907.html", "markdown": "read/en/products/xingye--b907.md", "json": "read/en/products/xingye--b907.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "minimax-m31-flash-20261019", "relation": "company", "affectedProducts": [ { "id": "b827", "name": "MiniMax Language Models" } ], "importance": "major", "product": "MiniMax 语言模型", "title": "MiniMax releases M3.1 Flash through API and Code", "summary": "MiniMax released M3.1 Flash for agent tasks, coding and computer use through its API, M Plan and MiniMax Code. The announcement schedules weights for later release rather than establishing immediate open-weight availability.", "originalPublishedOn": "2026-10-19", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-m31f" }, { "id": "minimax-music3-20260813", "relation": "company", "affectedProducts": [ { "id": "b910", "name": "MiniMax Music" } ], "importance": "major", "product": "MiniMax Music", "title": "MiniMax releases Music 3.0 for complete-song generation", "summary": "Music 3.0 takes a creative description and optional lyrics. MiniMax describes a single generation covering composition, arrangement, vocals and production for songs up to five minutes. Its architecture separates global song structure from local acoustic detail and revises audio rendering.", "originalPublishedOn": "2026-08-13", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model" }, { "id": "official-minimax-h3-20260803", "relation": "company", "affectedProducts": [ { "id": "b713", "name": "Hailuo AI" } ], "importance": "major", "product": "海螺 AI", "title": "MiniMax releases open H3 models", "summary": "Publishes video-generation variants with different input formats, resolutions and generation methods.", "originalPublishedOn": "2026-08-03", "source": "MiniMax", "sourceUrl": "https://www.minimax.cn/news/minimax-h3-open-source" } ], "id": "b908", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "international-only", "name": "Talkie", "originalName": "Talkie", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [], "summary": "Discover or create AI characters and chat within their backgrounds and stories, with character search, community and app access.", "introduction": "Talkie is the AI character-chat product linked by MiniMax’s international site. Users discover or search characters, create their own and converse around character settings and stories. The web interface offers community, memory and app access. Its primary use is roleplay and creative narrative; account features and allowances depend on the current service.", "capabilities": [], "company": { "name": "MiniMax", "originalName": "MiniMax", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.talkie-ai.com/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.talkie-ai.com/" }, { "kind": "documentation", "url": "https://www.minimax.io/" } ], "news": [], "links": { "interactive": "products/talkie--b908.html", "reading": "read/en/products/talkie--b908.html", "markdown": "read/en/products/talkie--b908.md", "json": "read/en/products/talkie--b908.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "minimax-m31-flash-20261019", "relation": "company", "affectedProducts": [ { "id": "b827", "name": "MiniMax Language Models" } ], "importance": "major", "product": "MiniMax 语言模型", "title": "MiniMax releases M3.1 Flash through API and Code", "summary": "MiniMax released M3.1 Flash for agent tasks, coding and computer use through its API, M Plan and MiniMax Code. The announcement schedules weights for later release rather than establishing immediate open-weight availability.", "originalPublishedOn": "2026-10-19", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-m31f" }, { "id": "minimax-music3-20260813", "relation": "company", "affectedProducts": [ { "id": "b910", "name": "MiniMax Music" } ], "importance": "major", "product": "MiniMax Music", "title": "MiniMax releases Music 3.0 for complete-song generation", "summary": "Music 3.0 takes a creative description and optional lyrics. MiniMax describes a single generation covering composition, arrangement, vocals and production for songs up to five minutes. Its architecture separates global song structure from local acoustic detail and revises audio rendering.", "originalPublishedOn": "2026-08-13", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model" }, { "id": "official-minimax-h3-20260803", "relation": "company", "affectedProducts": [ { "id": "b713", "name": "Hailuo AI" } ], "importance": "major", "product": "海螺 AI", "title": "MiniMax releases open H3 models", "summary": "Publishes video-generation variants with different input formats, resolutions and generation methods.", "originalPublishedOn": "2026-08-03", "source": "MiniMax", "sourceUrl": "https://www.minimax.cn/news/minimax-h3-open-source" } ], "id": "b909", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "MiniMax Speech", "originalName": "MiniMax Speech", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "A speech-generation family whose current Speech 2.8 supports sound tags and reference-voice cloning through the platform or MiniMax Audio.", "introduction": "MiniMax Speech is a model family, separate from the multi-task MiniMax Audio product. Current Speech 2.8 supports tags for breaths, chuckles or throat clearing and reference-based voice cloning. Official examples demonstrate delivery and cross-language behavior. Access is offered through the platform or Audio; language coverage, cloning requirements and allowances depend on the chosen interface or plan.", "capabilities": [], "company": { "name": "MiniMax", "originalName": "MiniMax", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.minimax.io/news/minimax-speech-28", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.minimax.io/news/minimax-speech-28" }, { "kind": "documentation", "url": "https://platform.minimax.io/docs/guides/models-intro" }, { "kind": "documentation", "url": "https://www.minimax.io/audio" } ], "news": [], "links": { "interactive": "products/minimax-speech--b909.html", "reading": "read/en/products/minimax-speech--b909.html", "markdown": "read/en/products/minimax-speech--b909.md", "json": "read/en/products/minimax-speech--b909.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "minimax-m31-flash-20261019", "relation": "company", "affectedProducts": [ { "id": "b827", "name": "MiniMax Language Models" } ], "importance": "major", "product": "MiniMax 语言模型", "title": "MiniMax releases M3.1 Flash through API and Code", "summary": "MiniMax released M3.1 Flash for agent tasks, coding and computer use through its API, M Plan and MiniMax Code. The announcement schedules weights for later release rather than establishing immediate open-weight availability.", "originalPublishedOn": "2026-10-19", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-m31f" }, { "id": "official-minimax-h3-20260803", "relation": "company", "affectedProducts": [ { "id": "b713", "name": "Hailuo AI" } ], "importance": "major", "product": "海螺 AI", "title": "MiniMax releases open H3 models", "summary": "Publishes video-generation variants with different input formats, resolutions and generation methods.", "originalPublishedOn": "2026-08-03", "source": "MiniMax", "sourceUrl": "https://www.minimax.cn/news/minimax-h3-open-source" } ], "id": "b910", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "MiniMax Music", "originalName": "MiniMax Music", "library": "tools", "category": "Audio & music", "categoryKey": "音频音乐", "categoryKeys": [ "音频音乐" ], "categories": [ "Audio & music" ], "entryPoints": [], "summary": "Generate complete songs from creative descriptions and optional lyrics, using the official open model or the separate Audio product.", "introduction": "MiniMax Music turns concepts and optional lyrics into arrangements, vocals and complete songs; Music 3.0’s official introduction covers songs up to five minutes. This entry opens the official Music3 card linked by platform documentation; Audio provides a separate web experience. Since August 20, 2026, paid music APIs are closed to new users, with existing paying users handled separately. Old API examples do not establish new-user access. Model deployment follows its own license and runtime requirements.", "capabilities": [], "company": { "name": "MiniMax", "originalName": "MiniMax", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model" }, { "kind": "documentation", "url": "https://platform.minimax.io/docs/guides/models-intro" }, { "kind": "documentation", "url": "https://www.minimax.io/audio" } ], "news": [ { "id": "minimax-music3-20260813", "importance": "major", "product": "MiniMax Music", "title": "MiniMax releases Music 3.0 for complete-song generation", "summary": "Music 3.0 takes a creative description and optional lyrics. MiniMax describes a single generation covering composition, arrangement, vocals and production for songs up to five minutes. Its architecture separates global song structure from local acoustic detail and revises audio rendering.", "originalPublishedOn": "2026-08-13", "source": "MiniMax", "sourceUrl": "https://www.minimax.io/blog/minimax-music-3-0-next-generation-open-weights-production-ready-versatile-music-model" } ], "links": { "interactive": "products/minimax-music--b910.html", "reading": "read/en/products/minimax-music--b910.html", "markdown": "read/en/products/minimax-music--b910.md", "json": "read/en/products/minimax-music--b910.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b911", "language": "en", "name": "YonCode", "originalName": "用友 YonCode", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发" ], "categories": [ "Coding" ], "entryPoints": [], "summary": "An enterprise coding agent using business rules and metadata across requirements, architecture, code, tests and deployment, with official release downloads.", "introduction": "YonCode develops enterprise business applications. Natural-language requirements feed specialist agents for requirements analysis, architecture, coding, automated tests and deployment, producing specifications, designs, code and test results. Business rules and business/page models provide context for metadata-driven application assets. Its current download center labels formal releases and links Windows x86_64 and Apple Silicon packages; check actual availability for other platforms. Connecting an existing enterprise environment requires suitable accounts, permissions and compatible versions; a specified YonBIP private-cloud release needs a metadata patch.", "capabilities": [], "company": { "name": "Yonyou Network Technology", "originalName": "用友网络科技股份有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://yoncode.diwork.com/", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://yoncode.diwork.com/" }, { "kind": "documentation", "url": "https://yoncode.diwork.com/#/download-center" }, { "kind": "documentation", "url": "https://www.yonyou.com/subject/products/news/6150" } ], "news": [], "links": { "interactive": "products/yoncode--b911.html", "reading": "read/en/products/yoncode--b911.html", "markdown": "read/en/products/yoncode--b911.md", "json": "read/en/products/yoncode--b911.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b912", "language": "en", "name": "Kingdee Lingee", "originalName": "金蝶灵基", "library": "tools", "category": "AI agent applications", "categoryKey": "智能体应用", "categoryKeys": [ "智能体应用", "AI办公", "智能体开发平台" ], "categories": [ "AI agent applications", "AI office & writing", "Agent development platforms" ], "entryPoints": [ { "kind": "website", "categoryKey": "智能体应用", "category": "AI agent applications", "label": "Visit website", "url": "https://www.kingdee.com/products/lingee.html", "summary": "Use natural language to coordinate enterprise agents, analyze SaaS data, execute business tasks and build skills or apps; published clients are available." } ], "summary": "Use natural language to coordinate enterprise agents, analyze SaaS data, execute business tasks and build skills or apps; published clients are available.", "introduction": "Kingdee Lingee combines personal work assistance, specialist business agents and enterprise agent development. Employees use natural language for research, analysis, writing and reporting, then connect authorized SaaS data and business operations to advance tasks. Organizations configure agent roles, skills, permissions and workflows, and build, debug and publish skills, agents or apps through natural language and visual tools. An official download page is available, and the linked App Store listing contains a published Lingee app with version history. Client availability does not grant every enterprise feature: integrations, modules, models and quotas depend on accounts, organization authorization, deployment and contract configuration. People approve critical actions and confirm results.", "capabilities": [], "company": { "name": "Kingdee Software (China)", "originalName": "金蝶软件（中国）有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://www.kingdee.com/products/lingee.html", "profileUpdatedOn": "2026-10-20", "sources": [ { "kind": "product", "url": "https://www.kingdee.com/products/lingee.html" }, { "kind": "documentation", "url": "https://www.kingdee.com/products/lingee_download.html" }, { "kind": "documentation", "url": "https://apps.apple.com/cn/app/id6787984061" } ], "news": [], "links": { "interactive": "products/kingdee-lingee--b912.html", "reading": "read/en/products/kingdee-lingee--b912.html", "markdown": "read/en/products/kingdee-lingee--b912.md", "json": "read/en/products/kingdee-lingee--b912.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b913", "language": "en", "source_locale": "en", "source_market": "international", "source_edition": "same-product", "name": "Seedance", "originalName": "Seedance", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "ByteDance’s video model family combines text, image, audio and video references for audiovisual generation, extension and targeted editing; current version 2.5.", "introduction": "Seedance is ByteDance Seed’s video-generation family, distinct from Seed language models and the Jimeng application. The current official version is 2.5. Text instructions and image, video or audio references guide subjects, camera movement, motion and sound for joint audiovisual generation, extensions and timestamp-targeted editing. The announcement describes up to 30 seconds per generation with repeated extensions; actual limits and results depend on the service. It is available through Jimeng and Doubao Pro, while the current model directory also links a specific BytePlus playground, used here as the access point. Accounts are required and regions, plans, quotas and model availability vary. The launch article’s forthcoming API statement does not establish a live API.", "capabilities": [], "company": { "name": "ByteDance Seed", "originalName": "ByteDance Seed", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://ai.byteplus.com/en/playground/model/gen_video?model=dreamina-seedance-2-5-260628", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://ai.byteplus.com/en/playground/model/gen_video?model=dreamina-seedance-2-5-260628" }, { "kind": "documentation", "url": "https://seed.bytedance.com/en/models" }, { "kind": "documentation", "url": "https://seed.bytedance.com/en/blog/one-take-creation-flexible-referencing-introducing-seedance-2-5" } ], "news": [ { "id": "seedance25-20260731", "importance": "major", "product": "Seedance", "title": "Seedance 2.5 launches with longer shots and reference editing", "summary": "The announcement introduces 2.5 on Jimeng and Doubao Pro, describing up to 30-second audiovisual generation, repeated extensions, multiple references and timestamp editing. BytePlus ModelArk API access was forthcoming at publication.", "originalPublishedOn": "2026-07-31", "source": "ByteDance Seed", "sourceUrl": "https://seed.bytedance.com/en/blog/one-take-creation-flexible-referencing-introducing-seedance-2-5" } ], "links": { "interactive": "products/seedance--b913.html", "reading": "read/en/products/seedance--b913.html", "markdown": "read/en/products/seedance--b913.md", "json": "read/en/products/seedance--b913.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b915", "language": "en", "name": "Mathpix", "originalName": "Mathpix", "library": "tools", "category": "Knowledge management", "categoryKey": "知识管理", "categoryKeys": [ "知识管理" ], "categories": [ "Knowledge management" ], "entryPoints": [], "summary": "Converts equations, tables, chemistry and handwriting from PDFs or screenshots into editable LaTeX or Markdown, through Snip and OCR APIs.", "introduction": "Mathpix recognizes formulas, tables, chemical structures and handwriting alongside text. Snip serves research reading and conversion; its screenshot tool copies recognized content into editable formats. OCR and Files APIs support image and PDF pipelines. Useful for scanned papers and textbooks, with separate app, API and enterprise conditions. Recognition still needs review.", "capabilities": [], "company": { "details": { "facts": [ { "key": "website", "label": "Company website", "value": "https://mathpix.com/" }, { "key": "founded", "label": "Founded", "value": "2016" }, { "key": "focus", "label": "Business focus", "value": "Develops document-recognition models, STEM OCR, conversion applications and developer APIs for researchers and enterprises." } ], "otherProducts": [] }, "name": "Mathpix, Inc.", "originalName": "Mathpix, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://mathpix.com/", "profileUpdatedOn": "2026-10-21", "sources": [ { "kind": "product", "url": "https://mathpix.com/" } ], "news": [], "links": { "interactive": "products/mathpix--b915.html", "reading": "read/en/products/mathpix--b915.html", "markdown": "read/en/products/mathpix--b915.md", "json": "read/en/products/mathpix--b915.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b916", "language": "en", "name": "Nanonets", "originalName": "Nanonets", "library": "tools", "category": "AI agent applications", "categoryKey": "智能体应用", "categoryKeys": [ "智能体应用" ], "categories": [ "AI agent applications" ], "entryPoints": [], "summary": "Reads invoices and orders, extracts and validates fields, then uses rules, human review and integrations to advance business workflows.", "introduction": "Nanonets builds agents for business processes that start with documents. It reads invoices and purchase orders, applies classification, extraction, validation and routing, then connects results to business systems. Ambiguous cases can go to people. It suits document-heavy finance, order and logistics workflows. Usage follows executed blocks; integrations and deployment options depend on the plan.", "capabilities": [], "company": { "details": { "facts": [ { "key": "website", "label": "Company website", "value": "https://nanonets.com/" }, { "key": "location", "label": "Published company address", "value": "2261 Market Street #4010, San Francisco, CA 94114, USA" }, { "key": "focus", "label": "Business focus", "value": "Builds AI automation for document-heavy accounts payable, order, logistics and healthcare revenue workflows." } ], "otherProducts": [] }, "name": "Nano Net Technologies Inc.", "originalName": "Nano Net Technologies Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://nanonets.com/", "profileUpdatedOn": "2026-10-21", "sources": [ { "kind": "product", "url": "https://nanonets.com/" }, { "kind": "documentation", "url": "https://docs.nanonets.com/" }, { "kind": "pricing", "url": "https://nanonets.com/pricing" } ], "news": [], "links": { "interactive": "products/nanonets--b916.html", "reading": "read/en/products/nanonets--b916.html", "markdown": "read/en/products/nanonets--b916.md", "json": "read/en/products/nanonets--b916.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b917", "language": "en", "name": "Reducto", "originalName": "Reducto", "library": "tools", "category": "Knowledge management", "categoryKey": "知识管理", "categoryKeys": [ "知识管理" ], "categories": [ "Knowledge management" ], "entryPoints": [], "summary": "Parses complex PDFs and scans, extracts schema-based JSON and retains source locations through Studio, APIs and document workflows.", "introduction": "Reducto combines parsing, extraction, splitting, classification and editing in document workflows. It structures PDFs, scans, spreadsheets and presentations, then extracts JSON against specified fields. Studio supports inspection against original pages and bounding boxes. Developers can use APIs, SDKs, CLI or MCP. Review table structure, source locations and critical fields against your documents.", "capabilities": [], "company": { "details": { "facts": [ { "key": "website", "label": "Company website", "value": "https://reducto.ai/" }, { "key": "location", "label": "Published company address", "value": "77 Geary Street, San Francisco, CA 94108, USA" }, { "key": "focus", "label": "Business focus", "value": "Develops document-understanding models, parsing and extraction APIs, and visual processing tools for AI teams and document-heavy enterprises." } ], "otherProducts": [] }, "name": "Reducto, Inc.", "originalName": "Reducto, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://reducto.ai/", "profileUpdatedOn": "2026-10-21", "sources": [ { "kind": "product", "url": "https://reducto.ai/" }, { "kind": "documentation", "url": "https://docs.reducto.ai/overview" } ], "news": [ { "id": "reducto-r1-preview-20260901", "importance": "major", "product": "Reducto", "title": "Reducto introduces its r-1 document-parsing preview", "summary": "r-1 combines layout, tables, formatting and citation grounding in a single parsing pass for complex documents. This announcement introduces a preview through a Parse API configuration flag; the smaller r-1 mini and automatic routing are described as future plans, not simultaneous releases.", "originalPublishedOn": "2026-09-01", "source": "Reducto", "sourceUrl": "https://reducto.ai/blog/parse-r-1-model" } ], "links": { "interactive": "products/reducto--b917.html", "reading": "read/en/products/reducto--b917.html", "markdown": "read/en/products/reducto--b917.md", "json": "read/en/products/reducto--b917.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b918", "language": "en", "name": "Unstructured", "originalName": "Unstructured", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Open-source Python components partition PDFs, images and office documents into structured elements for LLM retrieval and knowledge pipelines.", "introduction": "This entry covers Unstructured’s open-source preprocessing library. File-specific parsers, layout and OCR components convert documents into structured elements for LLM retrieval and knowledge pipelines. It requires a development environment and format-dependent dependencies. The library differs from hosted Transform; hosted model results should not be attributed to it. Default lightweight telemetry can be disabled as documented.", "capabilities": [], "company": { "details": { "facts": [ { "key": "website", "label": "Company website", "value": "https://unstructured.io/" }, { "key": "focus", "label": "Business focus", "value": "Provides document transformation and preprocessing for AI applications, maintaining both open-source libraries and commercial hosted products." } ], "otherProducts": [] }, "name": "Unstructured Technologies, Inc.", "originalName": "Unstructured Technologies, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "headquarters", "basisLabel": "Company headquarters" } }, "officialUrl": "https://github.com/Unstructured-IO/unstructured", "profileUpdatedOn": "2026-10-21", "sources": [ { "kind": "product", "url": "https://github.com/Unstructured-IO/unstructured" }, { "kind": "documentation", "url": "https://github.com/Unstructured-IO/unstructured/blob/main/README.md" } ], "news": [], "links": { "interactive": "products/unstructured--b918.html", "reading": "read/en/products/unstructured--b918.html", "markdown": "read/en/products/unstructured--b918.md", "json": "read/en/products/unstructured--b918.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b919", "language": "en", "name": "Boltz", "originalName": "Boltz", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Predicts biomolecular complex structures and estimates binding affinity with Boltz-2, with code and weights for local inference.", "introduction": "Boltz models biomolecular interactions from YAML-described inputs, returning predicted structures and scores. Boltz-2 adds binder probability and affinity estimates with different intended uses. The official repository licenses both code and weights under MIT. Inference requires a configured computing environment; optional public MSA services involve network requests. Predictions remain research outputs, not experimental measurements or clinical conclusions.", "capabilities": [], "company": { "name": "Boltz project", "originalName": "Boltz project" }, "officialUrl": "https://github.com/jwohlwend/boltz", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/jwohlwend/boltz" }, { "kind": "documentation", "url": "https://github.com/jwohlwend/boltz/blob/main/README.md" } ], "news": [], "links": { "interactive": "products/boltz--b919.html", "reading": "read/en/products/boltz--b919.html", "markdown": "read/en/products/boltz--b919.md", "json": "read/en/products/boltz--b919.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b920", "language": "en", "name": "Chai-1", "originalName": "Chai-1", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Predicts structures involving proteins, small molecules, DNA and RNA, with optional alignments, templates and restraints.", "introduction": "Chai-1 is Chai Discovery’s public molecular-structure model. chai-lab exposes CLI and Python inference with optional MSAs, templates, restraints and covalent-bond information; the default workflow does not require supplied MSAs or templates. The README explicitly licenses code and weights under Apache 2.0. This record covers Chai-1, not access to subsequent internal models or antibody-design platforms.", "capabilities": [], "company": { "name": "Chai Discovery", "originalName": "Chai Discovery" }, "officialUrl": "https://github.com/chaidiscovery/chai-lab", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/chaidiscovery/chai-lab" }, { "kind": "documentation", "url": "https://github.com/chaidiscovery/chai-lab/blob/main/README.md" } ], "news": [], "links": { "interactive": "products/chai-1--b920.html", "reading": "read/en/products/chai-1--b920.html", "markdown": "read/en/products/chai-1--b920.md", "json": "read/en/products/chai-1--b920.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "id": "b921", "language": "en", "name": "ColabFold", "originalName": "ColabFold", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Combines MMseqs2 sequence searches with protein-structure models through Colab notebooks and local batch workflows.", "introduction": "ColabFold packages sequence alignment and structure prediction into reusable workflows, with AlphaFold2, complex-prediction and ESMFold notebooks plus local batch instructions. It runs predictions rather than only searching stored results. Colab depends on available GPUs; the public MSA service requests serial queries from one IP. Local use can still involve external searches. MIT code licensing does not automatically cover every model, weight or database.", "capabilities": [], "company": { "name": "ColabFold project", "originalName": "ColabFold project" }, "officialUrl": "https://github.com/sokrypton/ColabFold", "profileUpdatedOn": "2026-10-22", "sources": [ { "kind": "product", "url": "https://github.com/sokrypton/ColabFold" }, { "kind": "documentation", "url": "https://github.com/sokrypton/ColabFold/blob/main/README.md" } ], "news": [], "links": { "interactive": "products/colabfold--b921.html", "reading": "read/en/products/colabfold--b921.html", "markdown": "read/en/products/colabfold--b921.md", "json": "read/en/products/colabfold--b921.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Code is MIT; OCR, vision-language and speech models have their own licenses. Prepare model files and runtime resources separately; the code license does not cover every model weight.", "sourceUrls": [ "https://github.com/docling-project/docling/blob/main/LICENSE", "https://github.com/docling-project/docling/blob/main/README.md" ] } ] }, "id": "b924", "language": "en", "name": "Docling", "originalName": "Docling", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Parse document layouts, tables and reading order into structured content for RAG and agents.", "introduction": "Docling prepares source documents for AI applications. Layout analysis, OCR and optional vision-language models convert PDFs, Office files and images into DoclingDocument, with Markdown, HTML and JSON exports. It is a preprocessing component for retrieval pipelines, rather than a ready-made document chatbot. Local execution is supported; external models or services depend on configuration.", "capabilities": [], "company": { "name": "Docling project", "originalName": "Docling project" }, "officialUrl": "https://github.com/docling-project/docling", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://github.com/docling-project/docling" }, { "kind": "documentation", "url": "https://docling-project.github.io/docling/" }, { "kind": "documentation", "url": "https://github.com/docling-project/docling/blob/main/README.md" } ], "news": [], "links": { "interactive": "products/docling--b924.html", "reading": "read/en/products/docling--b924.html", "markdown": "read/en/products/docling--b924.md", "json": "read/en/products/docling--b924.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "The Apache-2.0-based license adds conditions: combined affiliate MAU over 100 million or monthly revenue over US$20 million requires a commercial license. Third-party online services must prominently credit MinerU. Check model/dependency licenses separately.", "sourceUrls": [ "https://github.com/opendatalab/MinerU/blob/master/LICENSE.md", "https://github.com/opendatalab/MinerU/blob/master/README.md" ] } ] }, "id": "b925", "language": "en", "name": "MinerU", "originalName": "MinerU", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Parse complex documents with OCR and vision-language models, retaining page/block locators.", "introduction": "MinerU 4 offers a CLI, Python SDK and local services for document parsing and agent reading. PDFs and images support four tiers combining native parsing, OCR and vision-language models. Office formats use local Flash parsing, not necessarily a VLM. Page/block locators support continued reading and citations. It is a document processor, not a ready-made RAG platform; remote parsing requires explicit configuration.", "capabilities": [], "company": { "name": "MinerU Team", "originalName": "MinerU Team" }, "officialUrl": "https://github.com/opendatalab/MinerU", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://github.com/opendatalab/MinerU" }, { "kind": "documentation", "url": "https://opendatalab.github.io/MinerU/" }, { "kind": "documentation", "url": "https://opendatalab.github.io/MinerU/usage/tiers/" }, { "kind": "documentation", "url": "https://github.com/opendatalab/MinerU/blob/master/README.md" } ], "news": [], "links": { "interactive": "products/mineru--b925.html", "reading": "read/en/products/mineru--b925.html", "markdown": "read/en/products/mineru--b925.md", "json": "read/en/products/mineru--b925.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Open-source code uses Apache 2.0. Cloud service, selected models and infrastructure have separate costs and terms. DeepDoc supports CPU inference; resources depend on models, data and concurrency. The code license does not promise free cloud service.", "sourceUrls": [ "https://ragflow.io/policies/privacy", "https://github.com/infiniflow/ragflow/blob/main/README.md", "https://github.com/infiniflow/ragflow/blob/main/LICENSE", "https://ragflow.io/policies/terms" ] } ] }, "id": "b926", "language": "en", "name": "RAGFlow", "originalName": "RAGFlow", "library": "tools", "category": "Agent development platforms", "categoryKey": "智能体开发平台", "categoryKeys": [ "智能体开发平台" ], "categories": [ "Agent development platforms" ], "entryPoints": [], "summary": "Turn enterprise documents into cited knowledge bases and orchestrate retrieval and agent workflows.", "introduction": "RAGFlow combines parsing, chunking, hybrid search, reranking and cited answers for teams building knowledge assistants. Inspect source passages and compose retrieval, tools, models and MCP services through visual workflows. Self-hosted code and a separate cloud service are available. Language and embedding models require configuration; self-hosting does not keep external model calls local. This is not a public dataset portal.", "capabilities": [], "company": { "name": "InfiniFlow Inc.", "originalName": "InfiniFlow Inc.", "country": { "codes": [ "KY" ], "names": [ "Cayman Islands" ], "display": "Cayman Islands", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://ragflow.io/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://ragflow.io/" }, { "kind": "documentation", "url": "https://github.com/infiniflow/ragflow/blob/main/README.md" }, { "kind": "documentation", "url": "https://ragflow.io/about-service" } ], "news": [], "links": { "interactive": "products/ragflow--b926.html", "reading": "read/en/products/ragflow--b926.html", "markdown": "read/en/products/ragflow--b926.md", "json": "read/en/products/ragflow--b926.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Code is Apache 2.0; configure runtimes, weights and inference backends separately. A model’s language count or speed does not describe all pipelines, and the toolkit is not a free hosted API.", "sourceUrls": [ "https://github.com/PaddlePaddle/PaddleOCR/blob/main/README.md", "https://github.com/PaddlePaddle/PaddleOCR/blob/main/LICENSE" ] } ] }, "id": "b927", "language": "en", "name": "PaddleOCR", "originalName": "PaddleOCR", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "OCR, layout and table parsing for developers converting images and PDFs into structured content.", "introduction": "PaddleOCR is a toolkit for document AI. PP-OCR detects and recognizes text, PP-Structure extracts layouts and tables, and PaddleOCR-VL offers a vision-language parsing path. Choose pipelines for OCR, coordinates or Markdown/JSON before integrating retrieval or agents. Language coverage and output granularity vary by model family; toolkit-wide claims do not apply to every model.", "capabilities": [], "company": { "name": "PaddlePaddle project", "originalName": "PaddlePaddle project" }, "officialUrl": "https://github.com/PaddlePaddle/PaddleOCR", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://github.com/PaddlePaddle/PaddleOCR" }, { "kind": "documentation", "url": "https://www.paddleocr.ai/latest/" }, { "kind": "documentation", "url": "https://github.com/PaddlePaddle/PaddleOCR/blob/main/README.md" } ], "news": [], "links": { "interactive": "products/paddleocr--b927.html", "reading": "read/en/products/paddleocr--b927.html", "markdown": "read/en/products/paddleocr--b927.md", "json": "read/en/products/paddleocr--b927.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Code and the reviewed olmOCR-2-7B-1025-FP8 card state Apache 2.0. Local GPU use requires the documented NVIDIA environment and memory; remote inference sends work to the configured server and is not offline.", "sourceUrls": [ "https://github.com/allenai/olmocr/blob/main/README.md", "https://github.com/allenai/olmocr/blob/main/LICENSE", "https://huggingface.co/allenai/olmOCR-2-7B-1025-FP8" ] } ] }, "id": "b928", "language": "en", "name": "olmOCR", "originalName": "olmOCR", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Convert PDFs and document images into reading-order-aware Markdown with a vision-language model.", "introduction": "olmOCR linearizes PDFs, PNGs and JPEGs into Markdown for document processing at scale. Its vision-language model handles reading order across columns, tables and equations. Run local GPU inference or connect a remote vLLM server. This is a processing pipeline, not a downloadable corpus; review converted content against the source documents.", "capabilities": [], "company": { "name": "The Allen Institute for Artificial Intelligence", "originalName": "The Allen Institute for Artificial Intelligence", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://github.com/allenai/olmocr", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://github.com/allenai/olmocr" }, { "kind": "documentation", "url": "https://github.com/allenai/olmocr/blob/main/README.md" }, { "kind": "documentation", "url": "https://huggingface.co/allenai/olmOCR-2-7B-1025-FP8" } ], "news": [], "links": { "interactive": "products/olmocr--b928.html", "reading": "read/en/products/olmocr--b928.html", "markdown": "read/en/products/olmocr--b928.md", "json": "read/en/products/olmocr--b928.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Code is Apache 2.0; weights use modified OpenRAIL-M. Weight terms restrict non-personal/non-research use above US$5M prior-year revenue or total funding, and separately restrict competing products/services. Check the full license; optional external LLMs have separate data/cost terms.", "sourceUrls": [ "https://github.com/datalab-to/marker/blob/master/README.md", "https://github.com/datalab-to/marker/blob/master/LICENSE", "https://github.com/datalab-to/marker/blob/master/MODEL_LICENSE" ] } ] }, "id": "b929", "language": "en", "name": "Marker", "originalName": "Marker", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Convert PDFs and documents to Markdown, JSON or chunks, with optional model-assisted refinement.", "introduction": "Marker is Datalab’s document converter for text, tables, equations and images from PDFs and other formats. Fast and balanced paths combine text layers, layout models, OCR and vision models; optional LLM calls refine difficult results. Datalab’s managed platform uses Chandra, a different model, so its performance or data-handling claims cannot automatically be attributed to Marker.", "capabilities": [], "company": { "name": "Endless Labs, Inc. dba Datalab", "originalName": "Endless Labs, Inc. dba Datalab", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://github.com/datalab-to/marker", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://github.com/datalab-to/marker" }, { "kind": "documentation", "url": "https://github.com/datalab-to/marker/blob/master/README.md" } ], "news": [], "links": { "interactive": "products/marker--b929.html", "reading": "read/en/products/marker--b929.html", "markdown": "read/en/products/marker--b929.md", "json": "read/en/products/marker--b929.json" } }, { "schemaVersion": "1.0", "updates": [ { "id": "official-release-b934-20261016", "importance": "changelog", "product": "Open WebUI", "title": "Open WebUI releases v0.12.3", "summary": "Adds temporary encrypted channels; admins must enable them with required infrastructure, rather than encrypting every chat by default.", "originalPublishedOn": "2026-10-16", "source": "Open WebUI", "sourceUrl": "https://github.com/open-webui/open-webui/releases/tag/v0.12.3" } ], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "The current Open WebUI License requires branding retention, with exceptions including at most 50 end users in a rolling 30 days, written permission or a qualifying enterprise license. This is a branding condition, not a deployment user cap. External models and extensions have separate costs and terms.", "sourceUrls": [ "https://openwebui.com/privacy", "https://github.com/open-webui/open-webui/blob/main/README.md", "https://github.com/open-webui/open-webui/blob/main/LICENSE" ] } ] }, "id": "b934", "language": "en", "name": "Open WebUI", "originalName": "Open WebUI", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [], "summary": "A self-hosted chat interface for local or cloud models, document retrieval and tool use.", "introduction": "Open WebUI gives individuals or teams a browser chat interface they can administer themselves. Deploy it, connect Ollama or compatible model APIs, and organize conversations, document knowledge and tools, with configured voice or image features. It is an interface and workspace rather than a separately trained foundation model. Data flows and costs depend on whether connected models run locally, privately or in a third-party cloud.", "capabilities": [], "company": { "name": "Open WebUI, Inc.", "originalName": "Open WebUI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://docs.openwebui.com/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://docs.openwebui.com/" }, { "kind": "documentation", "url": "https://github.com/open-webui/open-webui/blob/main/README.md" }, { "kind": "documentation", "url": "https://docs.openwebui.com/getting-started/quick-start/connect-a-provider/" } ], "news": [], "links": { "interactive": "products/open-webui--b934.html", "reading": "read/en/products/open-webui--b934.html", "markdown": "read/en/products/open-webui--b934.md", "json": "read/en/products/open-webui--b934.json" } }, { "schemaVersion": "1.0", "updates": [ { "id": "official-release-b935-20261013", "importance": "changelog", "product": "AnythingLLM", "title": "AnythingLLM releases v1.18.0", "summary": "Fixes embed-origin allowlists, required tool parameters and attachment-state isolation.", "originalPublishedOn": "2026-10-13", "source": "AnythingLLM", "sourceUrl": "https://github.com/Mintplex-Labs/anything-llm/releases/tag/v1.18.0" } ], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Core code is MIT. Self-hosted data stays in your environment by default, but configured external models, databases or tools transmit data. Telemetry can be disabled. Prepare models/dependencies for offline use, and distinguish desktop, cloud and mobile terms.", "sourceUrls": [ "https://docs.anythingllm.com/installation-desktop/privacy", "https://github.com/Mintplex-Labs/anything-llm/blob/master/README.md", "https://github.com/Mintplex-Labs/anything-llm/blob/master/LICENSE", "https://github.com/Mintplex-Labs/anything-llm/blob/master/TERMS_SELF_HOSTED.md" ] } ] }, "id": "b935", "language": "en", "name": "AnythingLLM", "originalName": "AnythingLLM", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [], "summary": "Chat, cited document retrieval and configurable agents around local models and workspaces.", "introduction": "AnythingLLM combines model chat, document ingestion and cited knowledge retrieval in workspaces, with agent tools and configurable flows. The desktop app targets personal use, while Docker self-hosting adds multi-user and permission features; their feature sets differ. Use local models or explicitly configure cloud models, vector stores and external services. It supplies an application interface rather than requiring a document pipeline to be assembled from scratch.", "capabilities": [], "company": { "name": "Mintplex Labs, Inc.", "originalName": "Mintplex Labs, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "registered-office", "basisLabel": "Registered office" } }, "officialUrl": "https://anythingllm.com/download", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://anythingllm.com/download" }, { "kind": "documentation", "url": "https://github.com/Mintplex-Labs/anything-llm/blob/master/README.md" }, { "kind": "documentation", "url": "https://github.com/Mintplex-Labs/anything-llm/blob/master/TERMS_SELF_HOSTED.md" } ], "news": [], "links": { "interactive": "products/anythingllm--b935.html", "reading": "read/en/products/anythingllm--b935.html", "markdown": "read/en/products/anythingllm--b935.md", "json": "read/en/products/anythingllm--b935.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Project code is MIT; weights, backends and dependencies have separate licenses. Initial model/backend preparation may need network and storage. Hardware or cloud resources have operating costs; external tools can transmit data despite self-hosting.", "sourceUrls": [ "https://github.com/mudler/LocalAI/blob/master/LICENSE", "https://github.com/mudler/LocalAI/blob/master/README.md" ] } ] }, "id": "b936", "language": "en", "name": "LocalAI", "originalName": "LocalAI", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [], "summary": "Deploy multimodal inference in your own environment through compatible APIs and model backends.", "introduction": "LocalAI is a self-hosted inference engine exposing language, vision, speech and image capabilities through APIs. Install needed backends, use engines such as llama.cpp or vLLM, and configure models, authentication, quotas and agent tools. It serves models rather than being a separate model family. Endpoint and parameter compatibility depend on backend documentation; CPU support does not remove task-specific memory, speed or hardware constraints.", "capabilities": [], "company": { "name": "LocalAI project", "originalName": "LocalAI project" }, "officialUrl": "https://localai.io/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://localai.io/" }, { "kind": "documentation", "url": "https://github.com/mudler/LocalAI/blob/master/README.md" } ], "news": [], "links": { "interactive": "products/localai--b936.html", "reading": "read/en/products/localai--b936.html", "markdown": "read/en/products/localai--b936.md", "json": "read/en/products/localai--b936.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Free and paid plans differ in allowances, export and advanced features. Speech analysis and some AI features use cloud and overseas services; desktop use does not imply offline processing. The privacy policy specifies separate handling and retention for voice data and project files.", "sourceUrls": [ "https://vrew.ai/en/terms-of-service/", "https://vrew.ai/en/privacy-policy/", "https://vrew.ai/en/payment/pricepolicy" ] } ] }, "id": "b938", "language": "en", "name": "Vrew", "originalName": "Vrew", "library": "tools", "category": "Video creation", "categoryKey": "视频创作", "categoryKeys": [ "视频创作" ], "categories": [ "Video creation" ], "entryPoints": [], "summary": "Edit footage through its transcript, create automatic captions, and build narrated videos with AI voices and scripts.", "introduction": "Vrew aligns speech transcripts with video so you can cut footage and adjust captions by editing text. Alternatively, start with a script and combine AI narration and images for explainers, lessons or short videos. Desktop downloads and a browser trial are available.", "capabilities": [], "company": { "name": "VoyagerX Inc.", "originalName": "VoyagerX Inc.", "country": { "codes": [ "KR" ], "names": [ "South Korea" ], "display": "South Korea", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://vrew.ai/en/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://vrew.ai/en/" }, { "kind": "pricing", "url": "https://vrew.ai/en/payment/pricepolicy" } ], "news": [], "links": { "interactive": "products/vrew--b938.html", "reading": "read/en/products/vrew--b938.html", "markdown": "read/en/products/vrew--b938.md", "json": "read/en/products/vrew--b938.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [ { "id": "deepseek-search", "relation": "company", "affectedProducts": [ { "id": "b2", "name": "DeepSeek" } ], "importance": "major", "product": "DeepSeek", "title": "DeepSeek opens its in-house search API", "summary": "DeepSeek opens Search / Fetch APIs for its own search engine, providing multilingual web search and page retrieval for models and agents.", "originalPublishedOn": "2026-10-17", "source": "DeepSeek", "sourceUrl": "https://api-docs.deepseek.com/updates#opening-up-the-in-house-search-api" }, { "id": "deepseek-v41", "relation": "company", "affectedProducts": [ { "id": "b2", "name": "DeepSeek" } ], "importance": "major", "product": "DeepSeek", "title": "DeepSeek releases V4.1-Flash", "summary": "DeepSeek releases V4.1-Flash with native visual understanding and an asymmetric MoE architecture aimed at reducing inference and cache costs. The multimodal API uses deepseek-flash; older Flash model IDs temporarily route to the new model.", "originalPublishedOn": "2026-09-10", "source": "DeepSeek", "sourceUrl": "https://www.deepseek.com/en/news/deepseek-v4-1-flash/" } ], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Public preview; features and interfaces may change. Review file permissions and commands before execution. Official models follow platform billing; custom-model costs and data processing depend on the selected provider. A locally running interface does not imply offline inference.", "sourceUrls": [ "https://www.deepseek.com/harness/terms-of-use/", "https://deepseek-harness.github.io/deepseek-harness/" ] } ] }, "id": "b939", "language": "en", "source_locale": "en", "source_market": "global", "source_edition": "same-product", "name": "DeepSeek Harness", "originalName": "DeepSeek Harness", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端", "编程开发", "智能体开发平台" ], "categories": [ "AI assistants & clients", "Coding", "Agent development platforms" ], "entryPoints": [ { "kind": "website", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Visit website", "url": "https://www.deepseek.com/harness/", "summary": "DeepSeek’s open-source agent client for working with files, running tools and composing custom workflows." }, { "kind": "website", "categoryKey": "智能体开发平台", "category": "Agent development platforms", "label": "Visit website", "url": "https://github.com/deepseek-ai/deepseek-harness", "summary": "DeepSeek’s open-source agent client for working with files, running tools and composing custom workflows." } ], "summary": "DeepSeek’s open-source agent client for working with files, running tools and composing custom workflows.", "introduction": "DeepSeek Harness connects models to a local workspace and execution tools for repository inspection, code changes, commands and document tasks. It offers a desktop app and a self-hosted web interface. Developers can compose models, tools and interfaces through Cordis plugins. This is an agent runtime and client; a model service must still be configured or accessed through an account.", "capabilities": [], "company": { "name": "DeepSeek (Hangzhou)", "originalName": "杭州深度求索人工智能基础技术研究有限公司", "country": { "codes": [ "CN" ], "names": [ "China" ], "display": "China", "basis": "registered-entity", "basisLabel": "Company registration" } }, "officialUrl": "https://www.deepseek.com/harness/", "profileUpdatedOn": "2026-10-24", "sources": [ { "kind": "product", "url": "https://www.deepseek.com/harness/" }, { "kind": "product", "url": "https://github.com/deepseek-ai/deepseek-harness" }, { "kind": "documentation", "url": "https://deepseek-harness.github.io/deepseek-harness/" }, { "kind": "pricing", "url": "https://api-docs.deepseek.com/quick_start/pricing" } ], "news": [ { "id": "deepseek-1017", "importance": "minor", "product": "DeepSeek", "title": "DeepSeek updates V4.1-Flash-1017", "summary": "DeepSeek upgrades its web, app and API to V4.1-Flash-1017, retaining the deepseek-flash model ID and pricing. The update targets reasoning and agent tasks, with optimizations for DeepSeek Harness, Tencent CodeBuddy and WorkBuddy.", "originalPublishedOn": "2026-10-17", "source": "DeepSeek", "sourceUrl": "https://api-docs.deepseek.com/updates#deepseek-v41-flash-1017-update" } ], "links": { "interactive": "products/deepseek-harness--b939.html", "reading": "read/en/products/deepseek-harness--b939.html", "markdown": "read/en/products/deepseek-harness--b939.md", "json": "read/en/products/deepseek-harness--b939.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Open-source code and model costs are separate. Pi can modify files and run commands; use a recoverable project or isolated environment. Extensions and providers have their own permissions and data terms.", "sourceUrls": [ "https://pi.dev/docs/latest/quickstart" ] } ] }, "id": "b966", "language": "en", "name": "Pi Coding Agent", "originalName": "Pi Coding Agent", "library": "tools", "category": "Coding", "categoryKey": "编程开发", "categoryKeys": [ "编程开发", "智能体开发平台" ], "categories": [ "Coding", "Agent development platforms" ], "entryPoints": [ { "kind": "website", "categoryKey": "编程开发", "category": "Coding", "label": "Visit website", "url": "https://pi.dev/", "summary": "A terminal coding agent that works with project files and commands, with configurable models and workflows." } ], "summary": "A terminal coding agent that works with project files and commands, with configurable models and workflows.", "introduction": "Pi is an extensible terminal coding agent and harness. It uses project context, edits files and runs commands to implement and check changes in a repository. Connect a supported model provider or local model, then customize with extensions, skills and prompt templates. Branching sessions, JSON, RPC and an SDK support integration into other programs. It is distinct from Inflection’s Pi chat assistant.", "capabilities": [], "company": { "name": "Earendil Inc.", "originalName": "Earendil Inc." }, "officialUrl": "https://pi.dev/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://pi.dev/" }, { "kind": "documentation", "url": "https://pi.dev/docs/latest/quickstart" }, { "kind": "documentation", "url": "https://github.com/earendil-works/pi" } ], "news": [], "links": { "interactive": "products/pi-coding-agent--b966.html", "reading": "read/en/products/pi-coding-agent--b966.html", "markdown": "read/en/products/pi-coding-agent--b966.md", "json": "read/en/products/pi-coding-agent--b966.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "limits", "label": "Before you start", "text": "Current terms require users to be at least 18. Replies are not professional advice. Conversations follow the privacy policy, with model-training choices in account settings; availability varies by region and account.", "sourceUrls": [ "https://inflection.ai/terms-of-service", "https://inflection.ai/privacy-policy" ] } ] }, "id": "b967", "language": "en", "name": "Pi（Inflection）", "originalName": "Pi（Inflection）", "library": "tools", "category": "AI assistants & clients", "categoryKey": "AI助手与客户端", "categoryKeys": [ "AI助手与客户端" ], "categories": [ "AI assistants & clients" ], "entryPoints": [ { "kind": "website", "categoryKey": "AI助手与客户端", "category": "AI assistants & clients", "label": "Visit website", "url": "https://hey.pi.ai/", "summary": "Inflection AI’s conversational assistant for everyday discussion, reflection and personal companionship." } ], "summary": "Inflection AI’s conversational assistant for everyday discussion, reflection and personal companionship.", "introduction": "Inflection’s Pi focuses on personal conversation: discussing everyday questions, organizing thoughts and practicing expression. Its core interaction is chat, rather than editing repositories, running terminal commands or building agent workflows. The official chat and help center are separate from pi.dev’s Pi Coding Agent; this is not that agent’s web interface.", "capabilities": [], "company": { "name": "Inflection AI, Inc.", "originalName": "Inflection AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://hey.pi.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://hey.pi.ai/" }, { "kind": "documentation", "url": "https://help.pi.ai/en/" } ], "news": [], "links": { "interactive": "products/pi-inflection--b967.html", "reading": "read/en/products/pi-inflection--b967.html", "markdown": "read/en/products/pi-inflection--b967.md", "json": "read/en/products/pi-inflection--b967.json" } }, { "schemaVersion": "1.0", "updates": [], "companyNews": [], "usageGuide": { "facts": [ { "key": "access", "label": "Access & setup", "text": "Create an account and API credentials in the TypeSafe console, define state and questions using the documentation, then call the decision endpoint. Current help says signups are open without waitlist approval; region and account eligibility follow provider rules.", "sourceUrls": [ "https://docs.typesafe.ai/introduction", "https://help.typesafe.ai/articles/4519713419-how-do-i-create-or-activate-my-account-after-an-invitation-or-waitlist-approval" ] }, { "key": "cost", "label": "Billing model", "text": "Model use follows the published usage-based pricing. Check model, account allowance and current rates before production; zero output charges do not mean the whole request is free.", "sourceUrls": [ "https://typesafe.ai/" ] }, { "key": "limits", "label": "Before you start", "text": "Schema conformance does not guarantee correct judgments. Ask one clear factor per question, calibrate thresholds on your own labeled data and review uncertain or high-impact decisions. Format guarantees are not a zero-error promise.", "sourceUrls": [ "https://docs.typesafe.ai/introduction" ] } ] }, "id": "b968", "language": "en", "name": "Jev", "originalName": "Jev", "library": "tools", "category": "Model development", "categoryKey": "模型开发", "categoryKeys": [ "模型开发" ], "categories": [ "Model development" ], "entryPoints": [ { "kind": "api", "categoryKey": "模型开发", "category": "Model development", "label": "API platform", "url": "https://console.typesafe.ai/", "summary": "An API model for choices, scoring and statement judgments, returning typed results for software to consume." } ], "summary": "An API model for choices, scoring and statement judgments, returning typed results for software to consume.", "introduction": "Jev is TypeSafe AI’s structured decision model for software automation. Developers submit state and typed questions for choices, rubric-based scores or statement judgments. Results include typed values and applicable probability information; some question types also provide confidence. Use it for classification, routing, filtering and judgments that brittle rules cannot cover, with thresholds and review paths controlled in application code. Its primary output is decisions, rather than chat prose or a visual workflow editor.", "capabilities": [], "company": { "name": "TypeSafe AI, Inc.", "originalName": "TypeSafe AI, Inc.", "country": { "codes": [ "US" ], "names": [ "United States" ], "display": "United States", "basis": "company-location", "basisLabel": "Published company address" } }, "officialUrl": "https://typesafe.ai/", "profileUpdatedOn": "2026-10-23", "sources": [ { "kind": "product", "url": "https://typesafe.ai/" }, { "kind": "product", "url": "https://console.typesafe.ai/" }, { "kind": "documentation", "url": "https://docs.typesafe.ai/introduction" }, { "kind": "documentation", "url": "https://api.typesafe.ai/redoc" } ], "news": [], "links": { "interactive": "products/jev--b968.html", "reading": "read/en/products/jev--b968.html", "markdown": "read/en/products/jev--b968.md", "json": "read/en/products/jev--b968.json" } } ] }