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.
⚡ Executive Summary & Quick Facts
Authoritative SourceQwenPaw is QwenPaw is an open-source project written in TypeScript: 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 | agentscope-ai/QwenPaw ↗ |
|---|---|
| Primary Category | agent |
| Language & Stack | TypeScript |
| Software License | Apache-2.0 |
| Community Traction | ★ 35.6K stars · ⑂ 3.2K forks · #407 globally |
| Maintenance | ● Active (Last commit: Oct 10, 2026) · 1,032 open issues |
| Target Audience | Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+889
STARS · LAST 30 DAYS
30
PER DAY
#87
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +889 | +2.7K |
| Per day | 1 | 30 | 30 |
| Forks gained | +0 | +63 | +158 |
QwenPaw gained 889 stars in the last 30 days, about 30 a day, and now has 35.6K. It is about 1 year old and has averaged roughly 35.6K stars a year. It ranks #87 among TypeScript repositories and #407 across all languages on GitHubRepo.
Trending Record
10
DAYS ON TRENDING
#3541
BEST RANK
Oct 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
QwenPaw has maintained a continuous presence across global trending indexes, peaking at #3541. Below is the 30-day activity profile:
💡 Overview
QwenPaw is an open-source project written in TypeScript: Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agent-harness, agentscope. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in TypeScript for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ npm install QwenPaw⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Node.js >= 18, npm, pnpm or bun
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
QwenPaw coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with QwenPaw.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install QwenPaw using your package manager: `npm install QwenPaw`
Initialize your project workspace or configuration file for QwenPaw.
Import QwenPaw into your codebase or invoke it directly from your terminal.
Execute your test suite or run `QwenPaw --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
agentscope-ai/QwenPaw is currently ranked #407 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #402 | utmapp/UTM | Swift | ★ 35.9K | Compare ↗ |
| #403 | esengine/DeepSeek-Reasonix | Go | ★ 35.8K | Compare ↗ |
| #404 | can1357/oh-my-pi | TypeScript | ★ 35.7K | Compare ↗ |
| #405 | zellij-org/zellij | Rust | ★ 35.7K | Compare ↗ |
| #406 | vercel-labs/skills | TypeScript | ★ 35.6K | Compare ↗ |
| #407 | agentscope-ai/QwenPaw This Project | TypeScript | ★ 35.6K | |
| #408 | kovidgoyal/kitty | Python | ★ 35.3K | Compare ↗ |
| #409 | sahat/hackathon-starter | JavaScript | ★ 35.3K | Compare ↗ |
| #410 | seaweedfs/seaweedfs | Go | ★ 35.2K | Compare ↗ |
| #411 | jdx/mise | Rust | ★ 35.1K | Compare ↗ |
| #412 | netty/netty | Java | ★ 35.1K | Compare ↗ |
Frequently Asked Questions
What does QwenPaw do? +
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
What language is QwenPaw written in? +
The primary language is TypeScript. Topics include: agent, agent-harness, agentscope, ai-agent, ai-agents.
Is QwenPaw actively maintained? +
Yes, the last recorded push was on Oct 10, 2026 with 1,032 open issues being tracked.
How many stars does QwenPaw have? +
QwenPaw has 35,554 stars and 3,168 forks on GitHub.
How does QwenPaw rank among GitHub repositories? +
With 35,554 stars, agentscope-ai/QwenPaw is ranked #407 globally across all repositories tracked on GitHubRepo and #87 among TypeScript projects.
What license is QwenPaw distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
