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CowAgent

An open-source AI assistant for task automation, multi-agent collaboration and persistent knowledge.

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CowAgent combines language models with tools, reusable skills, memory and knowledge management. It runs locally or on a server, with a web console, desktop clients and messaging channels.

Pricing
Open source
Deployment
Self-hosted
Platforms
Web, Windows, macOS, Linux
47,819stars10,418forks
1views
Updated

What is CowAgent?

CowAgent is an open-source AI assistant that proactively plans tasks and controls your computer and external services. It is lightweight, easy to deploy and built to extend, and you can plug in any major LLM provider and run it around the clock on a personal computer or server.

Messages arrive through channels that include Web, WeChat, Feishu, DingTalk, WeCom, QQ, Official Accounts, Telegram and Slack. Built-in tools cover file I/O, terminal, browser, scheduler, memory retrieval and web search, plus more. Memory uses hybrid keyword and vector retrieval, skills can be installed in one click from Skill Hub, and you can build a team of agents, each with its own role, model, skills and knowledge, collaborating in a shared conversation.

Supported models include Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi, MiniMax and Doubao. A one-line installer handles dependencies, configuration and startup, and deployment modes include local, Docker and server. A desktop client is available for macOS and Windows. When deploying on a server, set web_host to 0.0.0.0 in config.json to reach the console from outside.

Key capabilities

  • A planning assistant that works through tasks step by step
  • Channels for Web, WeChat, Feishu, DingTalk, WeCom, QQ, Telegram and Slack
  • Built-in tools for files, terminal, browser, scheduling and web search
  • Skills installable from Skill Hub
  • Multi-agent teams in a shared conversation
  • A web console and a macOS or Windows desktop client
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Where CowAgent fits

  • Planning Decomposes complex tasks and executes them step by step, looping over tools until the goal is reached.
  • Memory A three-tier architecture of context, daily and core memory, with Deep Dream distillation and hybrid keyword and vector retrieval.
  • Knowledge Curates structured knowledge into a Markdown wiki and builds a knowledge graph you can browse.
  • Self-evolution Reviews conversations to improve skills, follow up on unfinished tasks and consolidate memory.
  • Skills and tools Install skills from Skill Hub or GitHub, or create them by conversation; built-in tools cover files, terminal, browser, scheduler and web search, with native MCP integration.
  • Multi-agent teams Agents with their own role, model, skills and knowledge collaborate in a shared conversation.
  • Channels Web, WeChat, Feishu, DingTalk, WeCom, QQ, Telegram and Slack, served by one agent.
  • Models Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi and others, switchable from the Web console.

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