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cowagent

Personal AI agent with memory, skills and chat channels like Telegram and Slack

Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
Stars
47.3k
License
MIT
Last commit
Oct 2026
Last release
Sep 2026
Language
Python

Overview

CowAgent is a Python agent that plans tasks, runs built-in tools (terminal, file I/O, browser, scheduler, web search) and MCP servers, and keeps a three-tier long-term memory plus a Markdown knowledge base. It connects to hosted LLM providers and also to Web, Telegram, Slack, Discord, Feishu, DingTalk, WeChat and QQ, with a Web console on port 9899. Multi-agent teams and installable skills are included.

Who it is for: Self-hosters wanting one always-on agent reachable from chat apps

Strengths

  • Many channels: Web, Telegram, Slack, Discord, Feishu, DingTalk, WeChat, QQ
  • Chat, vision, image, ASR/TTS and embeddings can each use a different provider
  • Native MCP support over stdio, SSE and Streamable HTTP via a single mcp.json
  • Three-tier memory with hybrid keyword and vector retrieval

Weaknesses

  • Agent has access to the host OS; README advises trusted environments only
  • Agent mode uses substantially more tokens than plain chat
  • Local models only via a Custom provider, with chat as the only listed capability
  • Install is a curl-piped script; README documents no pinned-version install

What it needs

  • Docker + Compose
  • Needs LLM provider API (OpenAI, Claude, Gemini, DeepSeek, Qwen and others)
  • Models: Claude, OpenAI GPT, Gemini, DeepSeek, Qwen
  • port 9899

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