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CowAgent is an open-source super AI assistant and Agent Harness. It proactively plans tasks, runs tools and skills, and autonomously grows with memory and knowledge.
CowAgent is lightweight, easy to deploy, and built to extend. Plug in any major LLM provider, quickly assemble a multi-agent team, run it across Web and major IM platforms, 24/7 on a personal computer or server.
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Overview
Introduction
CowAgent is an open-source super AI assistant and Agent Harness that plans tasks, runs tools and skills, keeps long-term memory and a knowledge base, and self-evolves across models and channels.
GitHub
Open-source repository — Star and contribute
Try Online
No setup required — experience CowAgent instantly
Core Capabilities
Autonomous Task Planning
Decomposes complex tasks and executes them step by step, looping over tools and skills until the goal is reached.
Long-term Memory
Three-tier architecture (context → daily → core), automatic Deep Dream distillation, hybrid keyword + vector retrieval.
Personal Knowledge Base
Auto-curates structured knowledge into a Markdown wiki, builds an evolving knowledge graph with visual browsing.
Self-Evolution
Reviews conversations automatically to improve skills, follow up on unfinished tasks, and consolidate memory and knowledge, growing through everyday use.
Skills System
A complete skill creation and execution engine. Install from Skill Hub or generate custom skills via natural-language conversation.
Tool System
Built-in file I/O, terminal, browser, scheduler, memory retrieval, web search, and more — with native MCP integration.
Command System
Terminal CLI and in-chat commands for process management, skill installation, configuration, and context inspection.
Pluggable Models
Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi, MiniMax, Doubao, and more — swap providers from the Web console with one click.
Multi-channel Integration
A single Agent simultaneously serves Web, WeChat, Feishu, DingTalk, WeCom, QQ, and Official Accounts.
Multi-Agent Teams
Create multiple Agents with distinct roles to form a team, with group-chat collaboration, task delegation, and sub-Agents — usable in the Web console, desktop client, and channel integrations.
Quick Start
Run one of the commands below to install, configure, and start CowAgent in a single step:- Linux / macOS
- Windows (PowerShell)
- Docker
http://localhost:9899 to access the Web console — the unified place to chat, configure providers, connect channels, and install skills.
Quick Start
Complete installation and run guide
Architecture
CowAgent system architecture
Disclaimer
- This project is licensed under the MIT License and is intended for technical research and learning. You are responsible for complying with applicable laws and regulations in your jurisdiction; the maintainers assume no liability for any consequences arising from use of this project.
- Cost & safety: Agent mode consumes substantially more tokens than plain chat — pick models that balance quality and cost. The Agent has access to your local operating system; deploy only in trusted environments.
- CowAgent is a pure open-source project and does not participate in, authorize, or issue any cryptocurrency.
Community
Join our Discord
Ask questions, share skills, and follow development