#66th of 12 in Assistants
QwenPaw
Personal AI agent with memory, skills, and chat-channel connectors
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- Stars
- 35.6k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Last release
- Sep 2026
- Language
- TypeScript
Overview
QwenPaw is a personal agent runtime installed with pip, a script, Docker, or a desktop app, with a web Console on port 8088 and a terminal UI. It keeps layered memory as Markdown via ReMe, runs skills, plugins, and MCP tools, and replies through DingTalk, Lark, WeChat, Discord, Telegram, iMessage, and QQ. Models can be local (built-in runtime, Ollama, LM Studio) or any of 14+ cloud providers.
Who it is for: Self-hosters wanting one personal agent reachable across chat apps
Strengths
- One instance serves DingTalk, Lark, WeChat, Discord, Telegram, iMessage, and QQ
- Works with Ollama, LM Studio, a built-in local runtime, or 14+ cloud providers
- Sandbox, Tool Guard, File Guard, and Skill Scanner gate commands before they run
- Supports MCP, plus ACP for cross-system agent orchestration
Weaknesses
- Requires Python 3.11 to below 3.14 for the pip install path
- Desktop app is beta and the macOS build is not notarized
- RAM and VRAM requirements are unknown; the README does not state them
- Major versions shipped monthly since 2.0, so expect fast-changing behavior
What it needs
- GPU optional
- Docker + Compose
- Models: QwenPaw-Flash local models, Ollama, LM Studio, 14+ cloud providers
- port 8088
Also in Assistants
See all 12| Rank | Project | Score |
|---|---|---|
| 1 | nanobotSmall Python agent runtime with bundled WebUI, TUI and chat channels | 84 out of 100 |
| 2 | OpenClawPersonal assistant gateway that answers in Discord, Slack, WhatsApp and Telegram | 79 out of 100 |
| 3 | Hermes AgentTerminal and chat-app agent that writes its own skills and remembers you | 75 out of 100 |
| #4 | ZeroClawSingle Rust binary agent runtime with 30+ channels and hardware access | 75 out of 100 |
| #5 | cowagentPersonal AI agent with memory, skills and chat channels like Telegram and Slack | 66 out of 100 |