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.

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[](https://github.com/agentscope-ai/QwenPaw) [](https://pypi.org/project/qwenpaw/) [](https://qwenpaw.agentscope.io/) [](https://www.python.org/downloads/) [](https://github.com/agentscope-ai/QwenPaw) [](LICENSE) [](https://github.com/psf/black) [](https://github.com/agentscope-ai/QwenPaw/stargazers) [](https://github.com/agentscope-ai/QwenPaw/network) [](https://deepwiki.com/agentscope-ai/QwenPaw) [](https://discord.gg/eYMpfnkG8h) [](https://x.com/agentscopeai) [](https://qr.dingtalk.com/action/joingroup?code=v1,k1,OmDlBXpjW+I2vWjKDsjvI9dhcXjGZi3bQiojOq3dlDw=&dtnocomment=1&origin=11) [](https://platform.agentscope.io/) [Documentation] [中文] [日本語] [Русский] Works for you, grows with you. Your personal AI assistant — deploy locally or in the cloud, extend with Skills & Plugins, connect across every channel. What you can do with QwenPaw All release notes → If you prefer managing Python yourself (requires Python >= 3.11, < 3.14): Then open the Console in your browser at http://127.0.0.1:8088/ to configure your model. To chat in DingTalk, Lark, WeChat, etc., see the Channel setup documentation. No Python setup required, one command installs everything. The script will automatically download uv (Python package manager), create a virtual environment, and install QwenPaw with all dependencies (including Node.js and frontend assets). Note: May not work in restricted network environments or corporate firewalls. macOS / Linux: Windows (CMD): Windows (PowerShell): Once installed, open a new terminal and run: Install…

agentscope-ai/QwenPaw on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-31T03:43:10.029Z

Inside the original README — Document outline
  1. QwenPaw
  2. News
  3. Table of Contents
  4. Quick Start
  5. Option 1: Pip Install
  6. Option 2: Script Install
  7. Option 3: Docker
  8. Option 4: Deploy on Alibaba Cloud ECS
  9. Option 5: AgentScope Platform
  10. Option 6: Using ModelScope
  11. Option 7: Desktop Application (Beta)
  12. Download

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

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

Repository facts

Owner
agentscope-ai
Primary language
TypeScript
Stars
37,114
Forks
3,242
Open issues + pull requests
1,127
License
Apache-2.0
Archived
No
Default branch
main
Created
2026-02-24T03:42:56.000Z
Last push
2026-10-30T09:37:04.000Z

Topics and intended use

Owner-supplied topics: agent, agent-harness, agentscope, ai-agent, ai-agents, chatbot, harness-engineering, llm-tools, llms, loop-engineering, mcp, personal-ai-assistant, self-hosted, skills, super-agent, webui

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Source: GitHub. Metadata observed 2026-11-01T12:20:37.856Z. Daily imports are snapshots, not real-time monitoring.

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