Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
CowAgent is an open-source Python agent framework, evolved from the widely deployed chatgpt-on-wechat project, that acts as a task-planning AI assistant running continuously on a local machine or server. It connects to Claude (alongside GPT, Gemini, DeepSeek, and others) via provider APIs, with the active model swappable from a web console at localhost:9899. The system routes incoming messages through channel integrations covering WeChat, Feishu, DingTalk, Telegram, Slack, and a built-in web interface, then passes them to an agent core that decomposes tasks, executes built-in tools (file I/O, terminal, browser automation, web search, scheduler), and calls MCP-compatible external services. A three-tier memory architecture distills conversations into context, daily, and core layers through an automatic "Deep Dream" process, while a separate knowledge module builds a Markdown wiki and evolving knowledge graph from interactions. Skills can be installed one-click from the Skill Hub or authored via natural-language conversation. Developers building multi-channel AI products and individuals wanting a self-hosted, self-evolving assistant are the primary beneficiaries.
Chinese-market multi-channel AI assistant (WeChat/Feishu/DingTalk/QQ) with skills, memory, and multi-LLM support.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Mature repo (>1y old)
- !Install pipes a remote script into a shell (curl | sh)
- !README contains suspicious pattern: eval\s*\(
git clone https://github.com/zhayujie/CowAgent && cp CowAgent/*.md ~/.claude/agents/3 items en este repositorio
Generate or edit images from text prompts. Use when the user asks to create, draw, design, or edit an image, illustration, photo, icon, poster, or any visual content.
Manage the personal knowledge wiki. Use when the user shares articles, documents, or asks to organize knowledge; when a conversation produces insights worth preserving as structured knowledge; or when the user asks about the knowledge base.
Create, install, or update skills in the workspace. Use when (1) installing a skill from a URL or remote source, (2) creating a new skill from scratch, (3) updating or restructuring existing skills. Always use this skill for any skill installation or creation task.
Resumen de Subagents
<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>
<a href="https://cdn.link-ai.tech/code/cow/cowagent-wechat-group.png"><img src="https://img.shields.io/badge/WeChat-Group-07C160?style=flat&logo=wechat&logoColor=white" alt="WeChat Group"></a>
<a href="https://discord.gg/9U8eA8v9TR"><img src="https://img.shields.io/badge/Discord-Join-5865F2?style=flat&logo=discord&logoColor=white" alt="Discord"></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, forms multi-agent teams, 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> ·
<a href="https://docs.cowagent.ai/intro/index">📖 Docs</a> ·
<a href="https://docs.cowagent.ai/guide/quick-start">🚀 Quick Start</a> ·
<a href="https://skills.cowagent.ai/">🧩 Skill Hub</a> ·
<a href="https://cowagent.ai/download/">💻 Download</a> ·
<a href="https://link-ai.tech/cowagent/create">☁️ Try Online</a>
</p>
<br/>
## 🎬 Demo
<p align="center">
<video src="https://github.com/user-attachments/assets/8625a19f-615c-4343-8be8-3707ce4d4d4e" controls muted playsinline width="720">
Your browser can't play this video.
<a href="https://cowagent.ai/">Watch the demo on our website →</a>
</video>
</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 |
| [Multi-Agent](https://docs.cowagent.ai/multi-agent/team) | Build a team of Agents, each with its own role, model, skills, and knowledge, collaborating within a shared conversation |
| [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.jpg" 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/>
## 👥 Multi-Agent Team
Create a team of Agents, each with its own memory, capabilities, knowledge, and workspace. Each can focus on its own domain, or collaborate within a shared conversation to tackle complex tasks together. Multi-Agent teams are available on the Web, the desktop client, and IM channel integrations.
<img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/agent-team-overview.png" alt="CowAgent Multi-Agent Team" width="800"/>
> See [Agent Team](https://docs.cowagent.ai/multi-agent/team) for details.
<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 |
| --- | --- | :-: | :-: | :-: | :-: | :-: | :-: |
| [DeepSeek](https://docs.cowagent.ai/models/deepseek) | deepseek-flash (V4.1) / pro | ✅ | ✅ | | | | |
| [Claude](https://docs.cowagent.ai/models/claude) | claude-opus-5 / fable-5.1 | ✅ | ✅ | | | | |
| [OpenAI](https://docs.cowagent.ai/models/openai) | gpt-6-astra / gpt-5.6 series | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| [Gemini](https://docs.cowagent.ai/models/gemini) | gemini-3.8-flash | ✅ | ✅ | ✅ | | | |
| [MiniMax](https://docs.cowagent.ai/models/minimax) | MiniMax-M3 | ✅ | ✅ | ✅ | | ✅ | |
| [GLM](https://docs.cowagent.ai/models/glm) | glm-5.3-flash, glm-5v-turbo | ✅ | ✅ | | ✅ | | ✅ |
| [Qwen](https://docs.cowagent.ai/models/qwen) | qwen3.8-flash | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| [Kimi](https://docs.cowagent.ai/models/kimi) | kimi-k3 | ✅ | ✅ | | | | |
| [Doubao](https://docs.cowagent.ai/models/doubao) | doubao-seed-2.1 series | ✅ | ✅ | ✅ | | | ✅ |
| [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.cowaLo que la gente pregunta sobre CowAgent
¿Qué es zhayujie/CowAgent?
+
zhayujie/CowAgent es subagents para el ecosistema de Claude AI. Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat) Tiene 46.9k estrellas en GitHub y su última actualización registrada es del 2026-09-11.
¿Cómo se instala CowAgent?
+
Puedes instalar CowAgent clonando el repositorio (https://github.com/zhayujie/CowAgent) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar zhayujie/CowAgent?
+
Nuestro agente de seguridad ha analizado zhayujie/CowAgent y le ha asignado un Trust Score de 92/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene zhayujie/CowAgent?
+
zhayujie/CowAgent es mantenido por zhayujie. La última actividad registrada en GitHub es del 2026-09-11, con 29 issues abiertos.
¿Hay alternativas a CowAgent?
+
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
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