{"repo":"zhayujie/CowAgent","free":true,"listed":false,"github":"https://github.com/zhayujie/CowAgent","clone":"git clone https://github.com/zhayujie/CowAgent.git","description":"Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)","language":"Python","stars":46526,"topics":["ai","ai-agent","ai-agents","chatgpt-on-wechat","claude","claude-code","codex","cowagent","deepseek","harness","llm","mcp","multi-agent","openai","openclaw","skills"],"license":"MIT","category":"ai_agent_harness","readme_excerpt":"

\"CowAgent\"

\n\n

\n \"Latest\n \"License:\n \"Stars\"\n \"Docs\"\n \"WeChat\n \"Discord\"\n

\n\n

\n \"zhayujie%2FCowAgent\n

\n\n

\n [English] | [中文] | [繁體中文] | [日本語]\n

\n\n**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.\n\nCowAgent 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.\n\n

\n 🌐 Website  · \n 📖 Docs  · \n 🚀 Quick Start  · \n 🧩 Skill Hub  · \n 💻 Download  · \n ☁️ Try Online\n

\n\n
\n\n## 🎬 Demo\n\n

\n \n

\n\n
\n\n## 🌟 Highlights\n\n| Capability | Description |\n| :--- | :--- |\n| [Planning](https://docs.cowagent.ai/intro/architecture) | Decomposes complex tasks and executes them step by step, looping over tools until the goal is reached |\n| [Memory](https://docs.cowagent.ai/memory/index) | Three-tier architecture (context → daily → core), automatic Deep Dream distillation, hybrid keyword + vector retrieval |\n| [Knowledge](https://docs.cowagent.ai/knowledge/index) | Auto-curates structured knowledge into a Markdown wiki, builds an evolving knowledge graph with visual browsing |\n| [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 |\n| [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 |\n| [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 |\n| [Channels](https://docs.cowagent.ai/channels/index) | Integrates with Web, WeChat, Feishu, DingTalk, WeCom, QQ, Official Accounts, Telegram, and Slack |\n| Multimodal | First-class support for text, images, voice, and files — recognition, generation, and delivery |\n| [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 |\n| [Deploy](https://docs.cowagent.ai/guide/quick-start) | One-line installer, unified Web console, multiple deployment modes (local, Docker, server) |\n\n
\n\n## 🏗️ Architecture\n\n\"CowAgent\n\nCowAgent 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.\n\nRead more in [Architecture](https://docs.cowagent.ai/intro/architecture).\n\n
\n\n## 🚀 Quick Start\n\nA one-line installer takes care of dependencies, configuration, and startup:\n\n**Linux / macOS:**\n\n```bash\nbash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)\n```\n\n**Windows (PowerShell):**\n\n```powershell\nirm https://cdn.link-ai.tech/code/cow/run.ps1 | iex\n```\n\n**Docker:**\n\n```bash\ncurl -O https://cdn.link-ai.tech/code/cow/docker-compose.yml\ndocker compose up -d\n```\n\nOnce 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.\n\n> 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.\n\n> 📖 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)\n\nAfter installation, manage the service with the [cow CLI](https://docs.cowagent.ai/cli/index):\n\n```bash\ncow start | stop | restart # service control\ncow status | logs # status and logs\ncow update # pull latest code and restart\ncow skill install # install a skill\ncow install-browser # install browser automation\n```\n\n> 💻 Desktop client: download the **[CowAgent Desktop client](https://cowagent.ai/download/)** (macOS / Windows) — the backend is bundled, ready to use out of the box.\n\n
\n\n## 🤖 Models\n\nCowAgent 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.\n\n| Provider | Featured Models | Chat | Vision | Image Gen | ASR | TTS | Embedding |\n| --- | --- | :-: | :-: | :-: | :-: | :-: | :-: |\n| [Claude](https://docs.cowagent.ai/models/claude) | claude-opus-5 / sonnet-5 | ✅ | ✅ | | | | |\n| [OpenAI](https://docs.cowagent.ai/models/openai) | gpt-5.6 series | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |\n| [Gemini](https://docs.cowagent.ai/models/gemini) | gemini-3.5-flash | ✅ | ✅ | ✅ | | | |\n| [DeepSeek](https://docs.cowagent.ai/models/deepseek) | deepseek-v4-flash / pro | ✅ | | | | | |\n| [Qwen](https://docs.cowagent.ai/models/qwen) | qwen3.7-plus | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |\n| [GLM](https://docs.cowagent.ai/models/glm) | glm-5.2, glm-5v-turbo | ✅ | ✅ | | ✅ | | ✅ |\n| [Doubao](https://docs.cowagent.ai/models/doubao) | doubao-seed-2.1 series | ✅ | ✅ | ✅ | | | ✅ |\n| [Kimi](https://docs.cowagent.ai/models/kimi) | kimi-k3 | ✅ | ✅ | | | | |\n| [MiniMax](https://docs.cowagent.ai/models/minimax) | MiniMax-M3 | ✅ | ✅ | ✅ | | ✅ | |\n| [ERNIE](https://docs.cowagent.ai/models/qianfan) | ernie-5.1 | ✅ | ✅ | | | | |\n| [MiMo](https://docs.cowagent.ai/models/mimo) | mimo-v2.5 / pro | ✅ | ✅ | | | ✅ | |\n| [LinkAI](https://docs.cowagent.ai/models/linkai) | One key for 100+ models | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |\n| [Custom](https://docs.cowagent.ai/models/custom) | Local models / third-party proxy | ✅ | | | | | |\n\n> For details on each provider, see the [Models overview](https://docs.cowagent.ai/models/index).\n\n
\n\n## 💬 Channels\n\nA single Agent instance can serve multiple channels in parallel. Most channels can be onboarded right from the Web console.\n\n| Channel | Text | Image | File | Voice | Group |\n| --- | :-: | :-: | :-: | :-: | :-: |\n| [Web Console](https://docs.cowagent.ai/channels/web) (default) | ✅ | ✅ | ✅ | ✅ | |\n| [Telegram](https://docs.cowagent.ai/channels/telegram) | ✅ | ✅ | ✅ | ✅ | ✅ |\n| [Slack](https://docs.cowagent.ai/channels/slack) | ✅ | ✅ | ✅ | | ✅ |\n| [Discord](https://docs.cowagent.ai/channels/discord) | ✅ | ✅ | ✅ | | ✅ |\n| [WeChat](https://docs.cowagent.ai/channels/weixin) | ✅ | ✅ | ✅ | ✅ | |\n| [Feishu / Lark](https://docs.cowagent.ai/channels/feishu) | ✅ | ✅ | ✅ | ✅ | ✅ |\n| [DingTalk](https://docs.cowagent.ai/channels/dingtalk) | ✅ | ✅ | ✅ | ✅ | ✅ |\n| [WeCom Bot](https://docs.cowagent.ai/channels/wecom-bot) | ✅ | ✅ | ✅ | ✅ | ✅ |\n| [QQ](https://docs.cowagent.ai/channels/qq) | ✅ | ✅ | ✅ | | ✅ |\n| [WeCom App](https://docs.cowagent.ai/channels/wecom) | ✅ | ✅ | ✅ | ✅ | |\n| [WeChat Customer Service](https://docs.cowagent.ai/channels/wechat-kf) 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