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

agentscope-ai/QwenPaw

Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities. observed · 2026-08-28

github.com/agentscope-ai/QwenPaw · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

81/100

  • Activity 99
  • Release rhythm 97
  • Longevity 13
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: 2
  • age_days: 190
  • days_rel: 20
  • days_push: 7
  • n_releases_24m: 48

Full methodology

Adoption not part of the score

34508 stars · 3037 forks observed · 2026-08-28

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

QwenPaw is a self-hosted personal AI assistant built in Python that connects to multiple chat channels (DingTalk, Feishu, QQ, Discord, iMessage) and runs scheduled tasks. Its capabilities are driven by an extensible Skills system with built-in skills for cron scheduling, PDF/Office handling, news digests, and file reading, plus MCP support.

Use cases

  • run a personal ai assistant on my own machine
  • chat with an ai assistant over discord or dingtalk
  • schedule automated tasks with an llm agent
  • self-hosted chatgpt alternative with custom skills
  • extend an ai assistant with mcp tools
  • automate pdf and office document handling via chat

When to choose

  • you want a personal assistant that keeps all data on your own machine
  • you need to reach the assistant through chat apps you already use
  • you want to extend capabilities with custom skills or MCP tools
  • you need scheduled/cron-driven LLM tasks

When to avoid

  • you need a fully managed hosted assistant with no setup
  • you want a simple single-channel chatbot with minimal footprint
  • you need non-Python integration or a lightweight embedded agent

Facets

application · maturity active

agent-framework chatbot mcp scheduling workflow-automation chat-interface chatbots large-language-models self-hosted developer-tools python self-hosted cross-platform cloud personal-ai-assistant skills multi-channel agent-harness webui llm-tools ai-agents automation docker discord telegram

3 sources

Member repositories

RepositoryRoleHealth v2
agentscope-ai/QwenPawmain81

For agents

markdown · JSON · MCP: product_card(name="agentscope-ai/QwenPaw")

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