简报·YT
← 返回 GitHub 动态
zhayujie/CowAgent · ⭐ 已Star 已完成

zhayujie/CowAgent 2.1.8

2026-09-11 01:54 · ⭐ 4.7万 · GitHub Release 原文 ↗
#多Agent协作 #版本更新 #上下文管理

zhayujie/CowAgent 2.1.8

一句话概括:本版本把 CowAgent 从单体 Agent 升级为多 Agent 协作框架,同时补齐定时任务管理、上下文用量可视化、工作区文件在线编辑与多模型/多搜索源支持。

核心新增能力

改进与修复

升级方式

发布日期:2026.09.11 | 完整 Changelog:2.1.7...2.1.8

Breaking change:Release Notes 中未提及任何破坏性变更。

▸ Release Notes 英文原文(8791 字符)
🌐 [English](https://docs.cowagent.ai/releases/v2.1.8) | [中文](https://docs.cowagent.ai/zh/releases/v2.1.8) ## 🤝 Multi-Agent Teams CowAgent is now a **multi-Agent framework**. You can create multiple Agents, each with its own role, to form a team and collaborate on complex tasks within a single session. Supported on the Web console, the desktop client, and channel integrations: - **Team management**: create and maintain Agents, configure name, responsibilities, default model, skills, and knowledge, and copy the setup from an existing Agent. - **Resource isolation**: each Agent has its own workspace, memory, and sessions; the knowledge base and skills can be shared or kept independent. <Frame> <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/team-overview.png" alt="Agent team" width="800" /> </Frame> - **Group collaboration**: add multiple Agents to one session and use `@` to direct a message to a specific member, with each Agent using its own configured model. - **Task delegation**: a group chat has a lead Agent that can hand a task off to the member best suited for it based on their responsibilities, with support for multi-level delegation and configurable scope, depth, and timeout. <Frame> <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/agent-group-chat-demo.png" alt="Agent-team-group" width="800"/> </Frame> - **Multiple channel instances**: an IM channel of the same type can now run multiple instances, each bound to a single Agent or an Agent team. Supported on WeChat, WeCom smart bots, Feishu, DingTalk, QQ, Telegram, Slack, Discord, and more. <Frame> <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/channel-config.png" alt="Agent-team-channel" width="800"/> </Frame> Thanks @AaronZ345 (#2975, #2973), @zkjqd (#3096), @cowagent (#3118) Docs: [Agent Teams](https://docs.cowagent.ai/multi-agent/team) ## ⏰ Scheduled Task Upgrades Scheduled tasks can now be created and managed from the console, with channel recipients and execution records added: - **Manual task creation**: create, edit, and run tasks directly on the tasks page, and select the channel instance and recipient. - **Channel recipient management**: maintain trusted recipients per channel instance, so a task can be delivered to a designated recipient rather than only the channel where it was created. Thanks @dajiaohuang (#3043) - **Execution records**: a new execution-records page lets you review the history list and the details of each run. Thanks @mengluo04 (#3107) - **Concurrent-update fix**: fixed tasks being lost on concurrent updates (Thanks @Whxuan0701 #3062). <Frame> <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/scheduler-create.png" width="800"/> </Frame> ## 📊 Context-Usage Visualization Context consumption is now visible and controllable, making token cost easier to manage: - **Context-usage view**: a ring view replaces the previous clear-context button and shows a full breakdown of what makes up the context. - **Context actions**: below the ring view you can trigger smart compaction, clear the context, or set the maximum context size. - **Context calculation**: the usage breakdown is derived automatically from the model's reported usage, with `agent_max_context_tokens` available as a user-configurable cost cap. Thanks @chimyves (#3087), @sufan721 (#3079) <Frame> <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/context-pie.png" width="700"/> </Frame> ## 🤖 Model Capabilities - **New models**: added `deepseek-flash` (DeepSeek V4.1 Flash), `gpt-6-astra`, `claude-fable-5-1`, `qwen3.8-flash`, `glm-5.3-flash`, `gemini-3.8-flash`, and the vision model `deepseek-v4-flash-vision-exp` (Thanks @a1094174619 #3094). - **Model fallback**: configure a fallback model under Model Config > Primary Model, which takes over automatically when the primary model fails, preventing interruptions from a single provider outage. Thanks @alanyz106 (#3099) - **Six new search providers**: - **AnySearch** (supports anonymous mode). Thanks @WangPan59 (#3083) - **Serply** (Google/Bing SERP API). Thanks @googio (#3071) - **Parallel Search**. Thanks @georgeatparallel (#3116) - **Tavily** (search API optimized for LLMs). Thanks @1printf (#3124) - **SearXNG** (self-hosted search engine, only the instance URL is required). Thanks @1printf (#3124) - **Keenable** (supports anonymous mode, no API key required). Thanks @ilya-bogin-keenable (#3122) ## 📝 Workspace File Editing Workspace files, long-term memory documents, and skill definitions can now be edited and saved directly in the Web console and the desktop client: - **In-place editing**: text files in the workspace, memory, and skill modules (Markdown, code, CSV, HTML, plain text, and more) can be edited directly, with keyboard shortcuts for `Ctrl+S` to save, `Esc` to exit, and `Tab` to indent. - **Safe saving**: saving checks for conflicts against the file's modification time when it was opened; if the Agent changed the file in the meantime, you are asked first instead of overwriting it. Closing the panel, switching files, switching sessions, or switching workspaces prompts for confirmation on unsaved changes. Thanks @zkjqd (#3076) ## 🛠 Improvements & Fixes - **Skill fixes**: - hardened tar archive extraction (Thanks @Whxuan0701 #3063) - resolve a repository's default branch instead of defaulting to `main` when installing a skill (Thanks @aniruddhaadak80 #3080) - **MCP enhancements**: - support tool-name prefixes (Thanks @georgeatparallel #3116) - recover expired Streamable HTTP sessions (Thanks @yiheng-kkk ad1f686) - reuse the subprocess and drop duplicate load logs when multiple Agents share the same `mcp.json` - **Image generation**: - fixed ModelScope `IMAGE_CREATE` failing due to a parameter mismatch (Thanks @Anai-Guo #3097) - fixed empty base64 data being misdetected and producing an empty image file (Thanks @c020627 #3133, @justinguo7777 #3131) - **Sub-Agent fix**: fixed a sub-Agent clearing the parent session's fallback settings (Thanks @alanyz106 #3111). - **Structured chunking**: Markdown memory and knowledge documents are chunked by heading structure, with a prompt to rebuild when the chunk version is outdated. Thanks @alanyz106 (#3115) - **Streaming error fix**: fixed seven model bots raising a `NameError` on streaming errors because the generator closed over the already-cleared exception variable, masking the real upstream error (Thanks @Anai-Guo #3128). - **Memory index fix**: fixed blank text chunks causing the embeddings API to error and the entire memory index build to fail, falling back to keyword search (Thanks @6vision #3121). - **Interruption detection**: pass `stop_reason` through to the Agent loop to distinguish a model ending on its own from being cut off by the output limit (Thanks @6vision #3074). - **Attachment detection**: match keyword attachment URLs against the resolved path (Thanks @Whxuan0701 #3061). - **Gateway attribution**: add source attribution to OrcaRouter gateway requests (Thanks @Marc-oss-hub #3058). - **Proxy rendering**: set the Content-Type on `/chat` so the console renders correctly behind a reverse proxy with nosniff (Thanks @alanyz106 #3110). - **Avatar handling**: fixed avatar upload failing due to text decoding, now reading raw bytes (Thanks @mengluo04). - **Evaluation tool**: added a minimal Agent trajectory evaluation flow. Thanks @yanzhiliaoliao (#3100) - **DingTalk channel**: disable the proxy on streaming connections and back off on reconnect, eliminating recurring errors. - **Windows client**: fixed an update installation breaking the shortcut. - **Desktop client**: fixed numeric Agent settings like max context tokens not being clearable (Thanks @zkjqd #3130). - **Backup and restore**: backups now include all Agent workspaces, with fixes for nested archiving, restore layout, and version compatibility in multi-Agent setups. - **Docs**: - added a Traditional Chinese entry to the Japanese docs language switcher (Thanks @c020627 #3072) - added Kimi-related links (Thanks @oriengy #2885) ## 📦 How to Upgrade - **Source deployment**: run `cow update` for a one-click upgrade, or pull the latest code and restart. See the [upgrade guide](https://docs.cowagent.ai/guide/upgrade). - **Desktop client**: check for updates and update with one click inside the client, or get the latest version from the [download page](https://cowagent.ai/download/). **Release date**: 2026.09.11 | [Full Changelog](https://github.com/zhayujie/CowAgent/compare/2.1.7...2.1.8)
▸ 主项目介绍 · zhayujie/CowAgent
▸ README 原文(同步于 2026-07-19 13:26)
<p align="center"><img src="https://github.com/user-attachments/assets/eca9a9ec-8534-4615-9e0f-96c5ac1d10a3" alt="CowAgent" width="420" /></p> <p align="center"> <a href="https://github.com/zhayujie/CowAgent/releases/latest"><img src="https://img.shields.io/github/v/release/zhayujie/CowAgent?cacheSeconds=3600" alt="Latest release"></a> <a href="https://github.com/zhayujie/CowAgent/blob/master/LICENSE"><img src="https://img.shields.io/badge/license-MIT-green.svg" alt="License: MIT"></a> <a href="https://github.com/zhayujie/CowAgent"><img src="https://img.shields.io/github/stars/zhayujie/CowAgent?style=flat-square&cacheSeconds=3600" alt="Stars"></a> <a href="https://docs.cowagent.ai/"><img src="https://img.shields.io/badge/Docs-cowagent.ai-blue?style=flat&logo=readthedocs&logoColor=white" alt="Docs"></a> </p> <p align="center"> <a href="https://trendshift.io/repositories/25763" target="_blank"><img src="https://trendshift.io/api/badge/repositories/25763" alt="zhayujie%2FCowAgent | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> </p> <p align="center"> [English] | [<a href="docs/zh/README.md">中文</a>] | [<a href="docs/zh/README-Hant.md">繁體中文</a>] | [<a href="docs/ja/README.md">日本語</a>] </p> **CowAgent** is an open-source super AI assistant that proactively plans tasks, controls your computer and external services, creates and runs Skills, builds a personal knowledge base and long-term memory, and grows alongside you through self-evolution — a reference implementation of Agent Harness engineering. CowAgent is lightweight, easy to deploy, and built to extend. Plug in any major LLM provider and run it 24/7 on a personal computer or server, across the web and all major IM platforms. <p align="center"> <a href="https://cowagent.ai/">🌐 Website</a> &nbsp;·&nbsp; <a href="https://docs.cowagent.ai/intro/index">📖 Docs</a> &nbsp;·&nbsp; <a href="https://docs.cowagent.ai/guide/quick-start">🚀 Quick Start</a> &nbsp;·&nbsp; <a href="https://skills.cowagent.ai/">🧩 Skill Hub</a> &nbsp;·&nbsp; <a href="https://cowagent.ai/download/">💻 Download</a> &nbsp;·&nbsp; <a href="https://link-ai.tech/cowagent/create">☁️ Try Online</a> </p> <br/> ## 🌟 Highlights | Capability | Description | | :--- | :--- | | [Planning](https://docs.cowagent.ai/intro/architecture) | Decomposes complex tasks and executes them step by step, looping over tools until the goal is reached | | [Memory](https://docs.cowagent.ai/memory/index) | Three-tier architecture (context → daily → core), automatic Deep Dream distillation, hybrid keyword + vector retrieval | | [Knowledge](https://docs.cowagent.ai/knowledge/index) | Auto-curates structured knowledge into a Markdown wiki, builds an evolving knowledge graph with visual browsing | | [Evolution](https://docs.cowagent.ai/memory/self-evolution) | Self-Evolution reviews conversations automatically to improve skills, follow up on unfinished tasks, and consolidate memory and knowledge, growing through everyday use | | [Skills](https://docs.cowagent.ai/skills/index) | One-click install from [Skill Hub](https://skills.cowagent.ai/), GitHub, ClawHub; or create custom skills via natural-language conversation | | [Tools](https://docs.cowagent.ai/tools/index) | Built-in file I/O, terminal, browser, scheduler, memory retrieval, web search, and 10+ more tools — with native MCP integration | | [Channels](https://docs.cowagent.ai/channels/index) | Integrates with Web, WeChat, Feishu, DingTalk, WeCom, QQ, Official Accounts, Telegram, and Slack | | Multimodal | First-class support for text, images, voice, and files — recognition, generation, and delivery | | [Models](https://docs.cowagent.ai/models/index) | Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi, MiniMax, Doubao, and more — swap providers from the Web console with one click | | [Deploy](https://docs.cowagent.ai/guide/quick-start) | One-line installer, unified Web console, multiple deployment modes (local, Docker, server) | <br/> ## 🏗️ Architecture <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/architecture/en/architecture.png" alt="CowAgent Architecture" width="750"/> CowAgent is a complete **Agent Harness**: messages flow in through **Channels**; the **Agent Core** plans and reasons over memory, knowledge, and the available tools and skills; **Models** generate the response, which is sent back through the originating channel. Every layer is decoupled and independently extensible. Read more in [Architecture](https://docs.cowagent.ai/intro/architecture). <br/> ## 🚀 Quick Start A one-line installer takes care of dependencies, configuration, and startup: **Linux / macOS:** ```bash bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh) ``` **Windows (PowerShell):** ```powershell irm https://cdn.link-ai.tech/code/cow/run.ps1 | iex ``` **Docker:** ```bash curl -O https://cdn.link-ai.tech/code/cow/docker-compose.yml docker compose up -d ``` Once started, open `http://localhost:9899` to access the **Web console** — your one-stop hub to chat with the Agent, configure models, connect channels, and install skills. > Deploying on a server? Set `web_host` to `0.0.0.0` in `config.json` to make the console reachable from outside, and set `web_password` to protect it. Don't forget to open port `9899` in your firewall or security group. > 📖 Detailed guides: [Quick Start](https://docs.cowagent.ai/guide/quick-start) · [Install from Source](https://docs.cowagent.ai/guide/manual-install) · [Upgrade](https://docs.cowagent.ai/guide/upgrade) After installation, manage the service with the [cow CLI](https://docs.cowagent.ai/cli/index): ```bash cow start | stop | restart # service control cow status | logs # status and logs cow update # pull latest code and restart cow skill install <name> # install a skill cow install-browser # install browser automation ``` > 💻 Desktop client: download the **[CowAgent Desktop client](https://cowagent.ai/download/)** (macOS / Windows) — the backend is bundled, ready to use out of the box. <br/> ## 🤖 Models CowAgent supports all mainstream LLM providers. **Chat, vision, image generation, ASR/TTS, and embeddings** can each be routed to a different vendor. Providers are configured directly in the Web console — no manual file editing required. | Provider | Featured Models | Chat | Vision | Image Gen | ASR | TTS | Embedding | | --- | --- | :-: | :-: | :-: | :-: | :-: | :-: | | [Claude](https://docs.cowagent.ai/models/claude) | claude-sonnet-5 / fable-5 | ✅ | ✅ | | | | | | [OpenAI](https://docs.cowagent.ai/models/openai) | gpt-5.6 series | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [Gemini](https://docs.cowagent.ai/models/gemini) | gemini-3.5-flash | ✅ | ✅ | ✅ | | | | | [DeepSeek](https://docs.cowagent.ai/models/deepseek) | deepseek-v4-flash / pro | ✅ | | | | | | | [Qwen](https://docs.cowagent.ai/models/qwen) | qwen3.7-plus | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [GLM](https://docs.cowagent.ai/models/glm) | glm-5.2, glm-5v-turbo | ✅ | ✅ | | ✅ | | ✅ | | [Doubao](https://docs.cowagent.ai/models/doubao) | doubao-seed-2.1 series | ✅ | ✅ | ✅ | | | ✅ | | [Kimi](https://docs.cowagent.ai/models/kimi) | kimi-k3 | ✅ | ✅ | | | | | | [MiniMax](https://docs.cowagent.ai/models/minimax) | MiniMax-M3 | ✅ | ✅ | ✅ | | ✅ | | | [ERNIE](https://docs.cowagent.ai/models/qianfan) | ernie-5.1 | ✅ | ✅ | | | | | | [MiMo](https://docs.cowagent.ai/models/mimo) | mimo-v2.5 / pro | ✅ | ✅ | | | ✅ | | | [LinkAI](https://docs.cowagent.ai/models/linkai) | One key for 100+ models | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [Custom](https://docs.cowagent.ai/models/custom) | Local models / third-party proxy | ✅ | | | | | | > For details on each provider, see the [Models overview](https://docs.cowagent.ai/models/index). <br/> ## 💬 Channels A single Agent instance can serve multiple channels in parallel. Most channels can be onboarded right from the Web console. | Channel | Text | Image | File | Voice | Group | | --- | :-: | :-: | :-: | :-: | :-: | | [Web Console](https://docs.cowagent.ai/channels/web) (default) | ✅ | ✅ | ✅ | ✅ | | | [Telegram](https://docs.cowagent.ai/channels/telegram) | ✅ | ✅ | ✅ | ✅ | ✅ | | [Slack](https://docs.cowagent.ai/channels/slack) | ✅ | ✅ | ✅ | | ✅ | | [Discord](https://docs.cowagent.ai/channels/discord) | ✅ | ✅ | ✅ | | ✅ | | [WeChat](https://docs.cowagent.ai/channels/weixin) | ✅ | ✅ | ✅ | ✅ | | | [Feishu / Lark](https://docs.cowagent.ai/channels/feishu) | ✅ | ✅ | ✅ | ✅ | ✅ | | [DingTalk](https://docs.cowagent.ai/channels/dingtalk) | ✅ | ✅ | ✅ | ✅ | ✅ | | [WeCom Bot](https://docs.cowagent.ai/channels/wecom-bot) | ✅ | ✅ | ✅ | ✅ | ✅ | | [QQ](https://docs.cowagent.ai/channels/qq) | ✅ | ✅ | ✅ | | ✅ | | [WeCom App](https://docs.cowagent.ai/channels/wecom) | ✅ | ✅ | ✅ | ✅ | | | [WeChat Customer Service](https://docs.cowagent.ai/channels/wechat-kf) | ✅ | ✅ | ✅ | ✅ | | | [WeChat Official Account](https://docs.cowagent.ai/channels/wechatmp) | ✅ | ✅ | | ✅ | | > See the [Channels overview](https://docs.cowagent.ai/channels/index) for setup details. <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/web-console-chat.png" alt="CowAgent Web Console" width="800"/> *The Web console is the default channel and the unified entry point to configure models, channels, skills, memory, and more.* <br/> ## 🧠 Memory & Knowledge Base **Long-term memory** uses a three-tier architecture: conversation context (short-term) → daily memory (mid-term) → MEMORY.md (long-term). A nightly **Deep Dream** pass distills scattered memories into refined long-term entries and a narrative journal. See [Long-term Memory](https://docs.cowagent.ai/memory/index) · [Deep Dream](https://docs.cowagent.ai/memory/deep-dream). **Personal knowledge base** complements the time-ordered memory by organizing structured knowledge **by topic**. The Agent automatically curates valuable information from conversations, maintains cross-references and indexes, and the Web console offers an interactive knowledge-graph view. See [Personal Knowledge Base](https://docs.cowagent.ai/knowledge/index). <table> <tr> <td width="50%"> <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/web-console-memory.png" alt="Long-term Memory" /> <p align="center"><em>Long-term Memory · Three-tier architecture + Deep Dream</em></p> </td> <td width="50%"> <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/web-console-knowledge.png" alt="Personal Knowledge Base" /> <p align="center"><em>Knowledge Base · Auto-curated Markdown wiki</em></p> </td> </tr> </table> <br/> ## 🔧 Tools & Skills **Tools** are atomic capabilities the Agent uses to interact with system resources. **Skills** are higher-level workflows defined by a manifest file that compose multiple tools to accomplish complex tasks. ### Tool System **Built-in tools** cover file I/O (`read` / `write` / `edit` / `ls`), terminal (`bash`), file sending (`send`), memory retrieval (`memory`), environment variables (`env_config`), web fetching (`web_fetch`), scheduling (`scheduler`), web search (`web_search`), vision (`vision`), and browser automation (`browser`). **MCP protocol** integrates the open ecosystem of [Model Context Protocol](https://modelcontextprotocol.io) servers. A single `mcp.json` is enough — supports stdio / SSE transports, hot reload, and zero-code integration. Learn more: [Tools overview](https://docs.cowagent.ai/tools/index) · [MCP integration](https://docs.cowagent.ai/tools/mcp). ### Skills System - **[Skill Hub](https://skills.cowagent.ai/)** — open skill marketplace: browse, search, install in one click - **GitHub / ClawHub / URL and more** — install skills from any source - **Conversational authoring** — generate custom skills through dialogue with `skill-creator`; turn any workflow or third-party API into a reusable skill ```bash /skill list # list installed skills /skill search <keyword> # search the marketplace /skill install <name> # one-click install ``` Learn more: [Skills overview](https://docs.cowagent.ai/skills/index) · [Creating Skills](https://docs.cowagent.ai/skills/create). <br/> ## 🏷 Changelog > **2026.07.08:** [v2.1.3](https://github.com/zhayujie/CowAgent/releases/tag/2.1.3) — [Desktop client](https://cowagent.ai/download/) for macOS / Windows, knowledge base document management, on-demand MCP tool retrieval, Traditional Chinese support, new models. > **2026.06.18:** [v2.1.2](https://github.com/zhayujie/CowAgent/releases/tag/2.1.2) — Web console upgrades (scheduled task management, knowledge base categories, multiple custom model providers), Self-Evolution improvements, new models (kimi-k2.7-code, glm-5.2), security hardening and refinements. > **2026.06.09:** [v2.1.1](https://github.com/zhayujie/CowAgent/releases/tag/2.1.1) — Self-Evolution, Web console upgrades (message management, parallel sessions), cross-platform MCP enhancements with concurrent calls, new models (MiniMax-M3, qwen3.7-plus), Python 3.13 support. > **2026.06.01:** [v2.1.0](https://github.com/zhayujie/CowAgent/releases/tag/2.1.0) — Internationalization, new channels (Telegram, Discord, Slack, WeChat Customer Service), CLI interaction upgrades, streamlined one-line install, MCP Streamable HTTP support, new models (claude-opus-4-8, MiMo). > **2026.05.22:** [v2.0.9](https://github.com/zhayujie/CowAgent/releases/tag/2.0.9) — Model management, MCP protocol support, persistent browser sessions, new models (gpt-5.5, gemini-3.5-flash, qwen3.7-max), deployment hardening. > **2026.05.06:** [v2.0.8](https://github.com/zhayujie/CowAgent/releases/tag/2.0.8) — Feishu channel overhaul (voice, streaming, QR onboarding), DeepSeek V4 and Baidu Qianfan support, scheduler tool upgrades. > **2026.04.22:** [v2.0.7](https://github.com/zhayujie/CowAgent/releases/tag/2.0.7) — Built-in image generation (GPT Image 2, Nano Banana), new models (Kimi K2.6, Claude Opus 4.7, GLM 5.1), memory and knowledge enhancements. > **2026.04.14:** [v2.0.6](https://github.com/zhayujie/CowAgent/releases/tag/2.0.6) — Knowledge base, Deep Dream memory distillation, smart context compression, multi-session Web console. > **2026.04.01:** [v2.0.5](https://github.com/zhayujie/CowAgent/releases/tag/2.0.5) — Cow CLI, Skill Hub open source, browser tool, WeCom Bot QR onboarding. > **2026.02.03:** [v2.0.0](https://github.com/zhayujie/CowAgent/releases/tag/2.0.0) — Major upgrade to a super Agent assistant with multi-step task planning, long-term memory, and the Skills framework. Full history: [Release Notes](https://docs.cowagent.ai/releases/overview) <br/> ## 🤝 Community & Support [File an issue](https://github.com/zhayujie/CowAgent/issues) on GitHub, or scan the QR code below to join our WeChat community: <img width="130" src="https://img-1317903499.cos.ap-guangzhou.myqcloud.com/docs/open-community.png"> <br/> ## 🔗 Related Projects - **[Cow Skill Hub](https://github.com/zhayujie/cow-skill-hub)** — open skill marketplace for AI Agents; works with CowAgent, OpenClaw, Claude Code, and more - **[bot-on-anything](https://github.com/zhayujie/bot-on-anything)** — lightweight LLM application framework with integrations for Slack, Telegram, Discord, Gmail, and more - **[AgentMesh](https://github.com/MinimalFuture/AgentMesh)** — open-source multi-agent framework for solving complex problems through team collaboration <br/> ## 🏢 Enterprise Services [**LinkAI**](https://link-ai.tech/) is an all-in-one AI Agent platform for enterprises and developers, offering managed hosting and enterprise-grade support for CowAgent: - **🚀 Zero-deployment hosted runtime** — spin up a [CowAgent online assistant](https://link-ai.tech/cowagent/create) in under a minute, no server required - **🧠 Agent infrastructure** — unified access to LLMs, knowledge bases, databases, skills, and workflows; plug-and-play building blocks that extend what CowAgent can do - **🏢 Team & enterprise features** — workspaces, role-based access, audit logs, and private deployment for production use cases For enterprise inquiries: sales@simple-future.tech or [scan the QR code](https://cdn.link-ai.tech/consultant.jpg) to reach our team on WeChat. <br/> ## 🛠️ Development & Contributing All kinds of contributions are welcome — new features, bug fixes, performance improvements, docs, or sharing your own skills on the [Skill Hub](https://skills.cowagent.ai/submit). See [CONTRIBUTING.md](/CONTRIBUTING.md) to get started, then open an Issue to discuss or send a PR directly. ⭐ Star the project to show your support, and Watch → Custom → Releases to get notified of new versions. PRs and Issues are always welcome. ## 🌟 Contributors ![cow contributors](https://contrib.rocks/image?repo=zhayujie/CowAgent&max=1000) <br/> ## ⚠️ Disclaimer 1. This project is licensed under the [MIT License](/LICENSE) and is intended for technical research and learning. You are responsible for complying with applicable laws and regulations in your jurisdiction; the maintainers assume no liability for any consequences arising from use of this project. 2. **Cost & safety:** Agent mode consumes substantially more tokens than regular chat — pick models that balance quality and cost. The Agent has access to your local operating system, so only deploy it in trusted environments. 3. CowAgent is a pure open-source project and does not participate in, authorize, or issue any cryptocurrency. <br/> ## 📌 Project Renaming Notice This project was previously named `chatgpt-on-wechat` and is now officially **CowAgent**. The old GitHub URL redirects automatically; existing users may optionally run `git remote set-url origin https://github.com/zhayujie/CowAgent.git` to update the local remote.