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AG

agentscope-ai/QwenPaw

AI Agent

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

24k Stars2.8k Forks887 Open Issues24k WatchersPythonApache-2.0
AI AgentLLM ToolAI AppInfrastructure
Source and compliance noteLast synced: Jul 21, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

agentscope-ai/QwenPaw is tracked as a Python project in the AI Agent, LLM Tool, AI App, Infrastructure area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 24k total stars, with +0 today, +1.5k this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Active; the latest push was 1 days ago, and the open issue queue is 887, about 3.75% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 2.8k forks and 24k watchers suggest how often the project is reused or followed. License signal: Apache-2.0. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you have low tolerance for large unresolved issue queues.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 1.5k. Follow the original GitHub repository for final install, security, and release information.

Best For
  • AI prototypes, LLM workflows, and agent-style applications
  • Python teams evaluating ecosystem-native tooling
  • teams that prefer mature projects with broad adoption signals
  • use cases where recent maintenance matters
Avoid When
  • you have low tolerance for large unresolved issue queues
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

24k Stars

Reuse

2.8k Forks

Attention

24k Watchers

Maintenance

active

License

Apache-2.0

Open issues

887

Overview

QwenPaw is a personal AI assistant that can be deployed locally or in the cloud, extended with Skills & Plugins, and connected across multiple channels. It features a three-layer memory system, supports local or cloud models, and includes security measures like a kernel-level sandbox.

Key Features

- Three-layer memory (working context, verbatim history, distilled knowledge) for never forgetting.\n- Local or cloud deployment with built-in QwenPaw Local runtime, no API key required.\n- Multi-agent support with parallel execution, coding mode with three-panel Web IDE, and extensible via Skills, Plugins, and MCP integration.

Tool Positioning

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

LLM Tool

Libraries and tools for LLM apps, RAG, prompts, and evals

AI App

End-user AI applications and AI-native product examples

Infrastructure

Cloud, deployment, networking, containers, and platform tooling

Quick Start
pip install qwenpaw
View on GitHub Project Homepage
Project Activity

90

Health Score

Active

Commit Activity

Feb 24, 2026

Created

Jul 20, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

+0

Today's growth

+0

7-day growth

+0

30-day growth

Jul 21, 2026Jul 21, 2026
Community Health
2.8k

Forks

887

Open

24k

Watchers

Owner
AG

agentscope-ai

GitHub profile
Topics & Language
Pythonagentagent-harnessagentscopeharness-engineeringllm-toolsllmsloop-engineeringskillssuper-agent
Ecosystem & Usage
GitHub Repository Project Website
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License
Apache-2.0
CreatedFeb 24, 2026
Last pushJul 20, 2026
Last syncedJul 21, 2026
Community Standards

✓

License

✓

Forked

✓ Active

Maintained

AI AnalysisAnalyzed by Git-Stars

Problem Solved

QwenPaw solves the problem of privacy and dependency on cloud services by allowing local deployment with its own QwenPaw-Flash models. It also addresses memory limitations in typical chatbots with a three-layer memory system that preserves full conversation history and distilled knowledge, and enhances security with kernel-level sandboxing and guard mechanisms.

Capabilities

Developers can build personal AI assistants that run entirely locally or on cloud, with persistent memory, multi-agent parallel execution, and extensible skills/plugins. Real-world use cases include private productivity assistants, automated task delegation with sub-agents, and secure enterprise chatbots. The ceiling includes complex multi-agent workflows, integration with various chat apps, and advanced security policies for sensitive environments.

Bottom Line

QwenPaw is ideal for developers and users who prioritize privacy, local control, and advanced memory capabilities in an AI assistant. It is less suitable for those who prefer lightweight, cloud-only solutions or do not need multi-agent features. The key trade-off is between full local control and the convenience of managed cloud services.

Full AI Analysis