GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Aug 19, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 19, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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·Jul 11, 2026
- Commercial model
- Pure OSS·GitHub org profile (public repos)·Jul 11, 2026
Install
pip install QwenPawHow 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): 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 I...
For agents
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