Ross ROSS = Recommend OSS · open-source software intelligence for agents

zhayujie/CowAgent

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. (formerly chatgpt-on-wechat) observed · 2026-08-28

github.com/zhayujie/CowAgent · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

99/100

  • Activity 99
  • Release rhythm 98
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 12.0
  • age_days: 1487
  • days_rel: 12
  • days_push: 7
  • n_releases_24m: 23

Full methodology

Adoption not part of the score

46692 stars · 10328 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

CowAgent (formerly chatgpt-on-wechat) is an open-source AI assistant and Agent Harness that plans tasks, runs tools and skills, and self-evolves with long-term memory and a personal knowledge base. It supports pluggable LLM providers and deploys across web and major IM channels like WeChat, Feishu, and DingTalk, running 24/7 on a laptop or server.

Use cases

  • run a personal AI assistant on wechat
  • build an ai agent that plans and executes tasks
  • chatgpt bot for dingtalk or feishu
  • self-hosted ai assistant with long-term memory
  • create custom ai skills from natural language
  • connect llm to mcp tools and browser automation
  • personal knowledge base with knowledge graph

When to choose

  • you want a multi-channel AI assistant across WeChat, Feishu, DingTalk, QQ, and web
  • you need task planning with tool/skill execution and MCP integration
  • you want self-evolving memory and an auto-curated knowledge base
  • you want to swap between many LLM providers with one click

When to avoid

  • you need only a simple stateless chatbot without memory or planning
  • you require a fully managed cloud service with no self-hosting
  • you need a lightweight library to embed in an existing app rather than a standalone assistant

Facets

application · maturity active

agent-framework chatbot llm-inference mcp rag workflow-automation chat-interface scheduling artificial-intelligence large-language-models chatbots self-hosted developer-tools python windows self-hosted cross-platform cli agent-harness skills-system multi-channel long-term-memory knowledge-base task-planning multi-model personal-assistant im-integration self-evolution ai-agents retrieval-augmented-generation automation linux macos docker wechat web-server

4 sources

Member repositories

RepositoryRoleHealth v2
zhayujie/CowAgentmain99

For agents

markdown · JSON · MCP: product_card(name="zhayujie/CowAgent")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem