CowAgent — MCP Server by zhayujie

by zhayujie · MCP Server · ★ 45.7k

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About CowAgent

[中文] [日本語] CowAgent 是基于大模型的超级 AI 助理,能够主动思考和任务规划、操作计算机和外部资源、创造和执行 Skills、拥有长期记忆和知识库并不断成长,比 OpenClaw 更轻量和便捷。CowAgent 支持灵活切换多种模型,能处理文本、语音、图片、文件等多模态消息,可接入微信、飞书、钉钉、企微智能机器人、QQ、企微自建应用、微信公众号、网页中使用,724小时运行于你的个人电脑或服务器中。 🌐 官网  ·  📖 文档中心  ·  🚀 快速开始  ·  🧩 技能广场  ·  ☁️ 在线体验 简介 该项目既是一个可以开箱即用的超级 AI 助理,也是一个支持高扩展的 Agent 框架,可以通过为项目扩展大模型接口、接入渠道、内置工具、Skills 系统来灵活实现各种定制需求。核心能力如下: ✅ 自主任务规划:能够理解复杂任务并自主规划执行,持续思考和调用工具直到完成目标 ✅ 长期记忆: 自动将对话记忆持久化至本地文件和数据库中,包括核心记忆、日级记忆和

aiai-agentai-agentschatgpt-on-wechatclaudeclaude-codecodexcowagentdeepseekharness

Quick Facts

Stars45,691
Forks10,241
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score65.6461944054873/100
Open Issues21
Last Updated2026-06-30
Created2022-08-07
Platformsclaude-code, codex, mcp, python
Est. Tokens~20k

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Looking for a CowAgent alternative? If you're comparing CowAgent with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is CowAgent?

CowAgent is Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (form. It is categorized as a MCP Server with 45.7k GitHub stars.

What programming language is CowAgent written in?

CowAgent is primarily written in Python. It covers topics such as ai, ai-agent, ai-agents.

How do I install or use CowAgent?

You can find installation instructions and usage details in the CowAgent GitHub repository at github.com/zhayujie/CowAgent. The project has 45.7k stars and 10241 forks, indicating an active community.

What license does CowAgent use?

CowAgent is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to CowAgent?

The top alternatives to CowAgent on Agent Skills Hub include ragflow, AionUi, 9router. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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