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Decision brief
QwenPaw is an easy-to-install personal AI assistant, offering support for multiple chat apps with extensible capabilities.
Good fit when
- - When you need to deploy a personal AI assistant on your local machine or the cloud without complex setup.
- - If you are looking for a solution that supports various popular chat apps including DingTalk, Lark, WeChat, etc., and needs easily extendable functionalities.
Avoid when
- - In environments with strict security policies or restricted network access where installing scripts automatically may not be possible due to corporate firewalls or constrained language mode in some,
- - If your Python version is below 3.11 or equal to or above 3.14 as the tool requires a specific range of Python versions (>= 3.11, < 3.14) to operate correctly.
- Pricing:
- freemium - QwenPaw operates under an open-source model with the Apache-2.0 license but it may have additional services that could require subscription or payment in future iterations.
- Requirements:
- - A Python environment in version 3.11 to less than 3.14 is mandatory.; - Script installation may require manual configuration in specific Windows environments (Windows LTSC, constrained language mode).
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 2d
- Provenance
- Not a fork · Organization account
- As of 2d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for AgentScope. Display-only - separate from trust and ranking.
- Company
- AgentScope-AI·GitHub org profile·1mo
- Commercial model
- Pure OSS·GitHub org profile (public repos)·1mo
Install
pip install QwenPaw PyPIHow it fits your stack(16)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Easy to install and deploy personal AI assistant that supports multiple chat apps with extensible capabilities.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Aug 19, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Aug 19, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 19, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 19, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 19, 2026)
ate a virtual environment, and install QwenPaw with all dependencies (including Node.js and frontend assets). Note: May not work in restricted network environments orSource link
Source: README excerpt (regex_v1, Aug 19, 2026)
If you prefer managing Python yourself (requires Python >= 3.11, < 3.14):Source link
Tags
README
Option 1: Pip Install
If you prefer managing Python yourself (requires Python >= 3.11, < 3.14):
pip install qwenpaw
qwenpaw init --defaults
qwenpaw app
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.
Option 2: Script Install
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:
curl -fsSL https://qwenpaw.agentscope.io/install.sh | bash
Windows (CMD):
curl -fsSL https://qwenpaw.agentscope.io/install.bat -o install.bat && install.bat
Windows (PowerShell):
irm https://qwenpaw.agentscope.io/install.ps1 | iex
Note: The installer will automatically check the status of uv. If it is not installed, it will attempt to download and configure it automatically. If the automatic installation fails, please follow the on-screen prompts or execute
python -m pip install -U uv, then rerun the installer.
⚠️ Special Notice for Windows Enterprise LTSC Users
If you are using Windows LTSC or an enterprise environment governed by strict security policies, PowerShell may run in Constrained Language Mode, potentially causing the following issue:
If using CMD (.bat): Script executes successfully but fails to write to
PathThe script completes file installation. Due to Constrained Language Mode, it cannot automatically update environment variables. Manually configure as follows:
- Locate the installation directory:
- Check if
uvis available: Enteruv --versionin CMD. If a version number appears, only configure the QwenPaw path. If you receive the prompt'uv' is not recognized as an internal or external command, operable program or batch file,configure both paths.- uv path (choose one based on installation location; use if
uvfails): Typically%USERPROFILE%\.local\bin,%USERPROFILE%\AppData\Local\uv, or theScriptsfolder within your Python installation directory- QwenPaw path: Typically located at
%USERPROFILE%\.qwenpaw\bin.- Manually add to the system's Path environment variable:
- Press
Win + R, typesysdm.cpland press Enter to open System Properties.- Click “Advanced” -> “Environment Variables”.
- Under “System variables”, locate and select
Path, then click “Edit”.- Click “New”, enter both directory paths sequentially, then click OK to save.
If using PowerShell (.ps1): Script execution interrupted
Due to Constrained Language Mode, the script may fail to automatically download
uv.
- Manually install uv: Refer to the GitHub Release to download
uv.exeand place it in%USERPROFILE%\.local\binor%USERPROFILE%\AppData\Local\uv; or ensure Python is installed and runpython -m pip install -U uv.- Configure
uvenvironment variables: Add theuvdirectory and%USERPROFILE%\.qwenpaw\binto your system'sPathvariable.- Re-run the installation: Open a new terminal and execute the installation script again to complete the
QwenPawinstallation.- Configure the
QwenPawenvironment variable: Add%USERPROFILE%\.qwenpaw\binto your system'sPathvariable.
Once installed, open a new terminal and run:
qwenpaw init --defaults # or: qwenpaw init (interactive)
qwenpaw app
Install options
macOS / Linux:
---
# Install a specific version
curl -fsSL ... | bash -s -- --version 1.1.0
---
# Install from source (
For agents
This page has a .md twin and JSON over the API.