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CowAgent is an AI super assistant powered by LLMs, capable of autonomous task planning, operating computers and external resources, creating and executing Skills, and continuously growing with long-term memory. It supports flexible model switching, handles text, voice, images, and files, and can be integrated into Web, Feishu, DingTalk, WeCom, and WeChat Official Account — running 7×24 hours on your personal computer or server.
🌐 Website · 📖 Docs · 🚀 Quick Start
Introduction
CowAgent is both an out-of-the-box AI super assistant and a highly extensible Agent framework. You can extend it with new model interfaces, channels, built-in tools, and the Skills system to flexibly implement various customization needs.
- ✅ Autonomous Task Planning: Understands complex tasks and autonomously plans execution, continuously thinking and invoking tools until goals are achieved. Supports accessing files, terminal, browser, schedulers, and other system resources via tools.
- ✅ Long-term Memory: Automatically persists conversation memory to local files and databases, including core memory and daily memory, with keyword and vector retrieval support.
- ✅ Skills System: Implements a Skills creation and execution engine with multiple built-in skills, and supports custom Skills development through natural language conversation.
- ✅ Multimodal Messages: Supports parsing, processing, generating, and sending text, images, voice, files, and other message types.
- ✅ Multiple Model Support: Supports OpenAI, Claude, Gemini, DeepSeek, MiniMax, GLM, Qwen, Kimi, Doubao, and other mainstream model providers.
- ✅ Multi-platform Deployment: Runs on local computers or servers, integrable into Web, Feishu, DingTalk, WeChat Official Account, and WeCom applications.
- ✅ Knowledge Base: Integrates enterprise knowledge base capabilities via the LinkAI platform.
Disclaimer
- This project follows the MIT License and is intended for technical research and learning. Users must comply with local laws, regulations, policies, and corporate bylaws. Any illegal or rights-infringing use is prohibited.
- Agent mode consumes more tokens than normal chat mode. Choose models based on effectiveness and cost. Agent has access to the host OS — please deploy in trusted environments.
- CowAgent focuses on open-source development and does not participate in, authorize, or issue any cryptocurrency.
Changelog
2026.02.27: v2.0.2 — Web console overhaul (streaming chat, model/skill/memory/channel/scheduler/log management), multi-channel concurrent running, session persistence, new models including Gemini 3.1 Pro / Claude 4.6 Sonnet / Qwen3.5 Plus.
2026.02.13: v2.0.1 — Built-in Web Search tool, smart context trimming, runtime info dynamic update, Windows compatibility, fixes for scheduler memory loss, Feishu connection issues, and more.
2026.02.03: v2.0.0 — Full upgrade to AI super assistant with multi-step task planning, long-term memory, built-in tools, Skills framework, new models, and optimized channels.
2025.05.23: v1.7.6 — Web channel optimization, AgentMesh multi-agent plugin, Baidu TTS, claude-4-sonnet/opus support.
2025.04.11: v1.7.5 — wechatferry protocol, DeepSeek model, Tencent Cloud voice, ModelScope and Gitee-AI support.
2024.12.13: v1.7.4 — Gemini 2.0 model, Web channel, memory leak fix.
Full changelog: Release Notes
🚀 Quick Start
The project provides a one-click script for installation, configuration, startup, and management:
bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
After running, the Web service starts by default. Access http://localhost:9899/chat to chat.
Script usage: One-click Install
Manual Installation
1. Clone the project
git clone https://github.com/zhayujie/chatgpt-on-wechat
cd chatgpt-on-wechat/
2. Install dependencies
pip3 install -r requirements.txt
pip3 install -r requirements-optional.txt # optional but recommended
3. Configure
cp config-template.json config.json
Fill in your model API key and channel type in config.json. See the configuration docs for details.
4. Run
python3 app.py
For server background run:
nohup python3 app.py & tail -f nohup.out
Docker Deployment
wget https://cdn.link-ai.tech/code/cow/docker-compose.yml
# Edit docker-compose.yml with your config
sudo docker compose up -d
sudo docker logs -f chatgpt-on-wechat
Models
Supports mainstream model providers. Recommended models for Agent mode:
| Provider | Recommended Model |
|---|---|
| MiniMax | MiniMax-M2.5 |
| GLM | glm-5 |
| Kimi | kimi-k2.5 |
| Doubao | doubao-seed-2-0-code-preview-260215 |
| Qwen | qwen3.5-plus |
| Claude | claude-sonnet-4-6 |
| Gemini | gemini-3.1-pro-preview |
| OpenAI | gpt-4.1 |
| DeepSeek | deepseek-chat |
For detailed configuration of each model, see the Models documentation.
Channels
Supports multiple platforms. Set channel_type in config.json to switch:
| Channel | channel_type |
Docs |
|---|---|---|
| Web (default) | web |
Web Channel |
| Feishu | feishu |
Feishu Setup |
| DingTalk | dingtalk |
DingTalk Setup |
| WeCom App | wechatcom_app |
WeCom Setup |
| WeChat MP | wechatmp / wechatmp_service |
WeChat MP Setup |
| Terminal | terminal |
— |
Multiple channels can be enabled simultaneously, separated by commas: "channel_type": "feishu,dingtalk".
Enterprise Services
LinkAI is a one-stop AI agent platform for enterprises and developers, integrating multimodal LLMs, knowledge bases, Agent plugins, and workflows. Supports one-click integration with mainstream platforms, SaaS and private deployment.
🔗 Related Projects
- bot-on-anything: Lightweight and highly extensible LLM application framework supporting Slack, Telegram, Discord, Gmail, and more.
- AgentMesh: Open-source Multi-Agent framework for complex problem solving through agent team collaboration.
🔎 FAQ
FAQs: https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs
🛠️ Contributing
Welcome to add new channels, referring to the Feishu channel as an example. Also welcome to contribute new Skills, referring to the Skill Creator docs.
✉ Contact
Welcome to submit PRs and Issues, and support the project with a 🌟 Star. For questions, check the FAQ list or search Issues.