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  3. zhayujie/cowagent

zhayujie/cowagent

Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)

★ 46.9k▲ +5 / 7dDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-03 no data2026-09-04 no data2026-09-05 no data2026-09-06 no data2026-09-07 no data2026-09-08 no data2026-09-09 no data2026-09-10 no data2026-09-11 +32026-09-12 +22026-09-13 no data2026-09-14 no data2026-09-15 no data2026-09-16 no datalargest one-day increase in the 14 days+3last 14 days · stars per dayhollow = no data

RANKS All-time #140

AT A GLANCE

LANGUAGE
Python
LICENSE
MIT
USAGE
Use, change and redistribute, commercially too. Keep the notice.
ACTIVITY
last commit 3 days ago ()
TOPICS
  • ai
  • ai-agent
  • ai-agents
  • chatgpt-on-wechat
  • claude
  • claude-code
  • codex
  • cowagent
  • deepseek
  • harness
  • llm
  • mcp
HOMEPAGE
https://cowagent.ai
REPOSITORY
GitHub ↗
CATEGORY
AI

A summary, not legal advice.

README EXCERPT

[English] [ 中文 ] [ 繁體中文 ] [ 日本語 ] CowAgent is an open-source super AI assistant that proactively plans tasks, controls your computer and external services, creates and runs Skills, builds a personal knowledge base and long-term memory, forms multi-agent teams, and grows alongside you through self-evolution — a reference implementation of Agent Harness engineering. CowAgent is lightweight, easy to deploy, and built to extend. Plug in any major LLM provider and run it 24/7 on a personal computer or server, across the web and all major IM platforms. 🌐 Website  ·  📖 Docs  ·  🚀 Quick Start  ·  🧩 Skill Hub  ·  💻 Download  ·  ☁️ Try Online 🎬 Demo Your browser can't play this video. Watch the demo on our website → 🌟 Highlights Capability Description :--- :--- Planning Decomposes complex tasks and executes them step by step, looping over tools until the goal is reached Multi-Agent Build a team of Agents, each with its own role, model, skills, and knowledge, collaborating within a shared conversation Memory Three-tier architecture (context → daily → core), automatic Deep Dream distillation, hybrid keyword + vector retrieval Knowledge Auto-cur…

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TIMELINE

  1. Repository created
  2. FIRST SEEN BY TESIGN ◌ BACK CATALOG
  3. Last push

AI chooses the lists under the owner’s delegation. No human review is running in September 2026. Total stars, increases, cross-source signals, last updates and licences are shown as evidence. How ranks work →

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