head to head · open source
Agent-Reach vs qwen-code
Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 6 days ago. qwen-code has 27,997 stars, 3,076 forks, 1,422 open issues and last shipped yesterday. Agent-Reach leads on adoption by 198% (83,525 vs 27,997 stars). Agent-Reach is written in Python under MIT; qwen-code is written in TypeScript under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, qwen-code 11%. qwen-code was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-agent, cli, mcp), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Agent-Reach | qwen-code | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 28K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-15 | 2026-09-20 |
| Forks | ⑂ 7.3K | ⑂ 3.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Agent-Reach if
- You weight community size — 84K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick qwen-code if
- You want the qwen-code feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and qwen-code fits your workflow better
About Agent-Reach
Agent Reach is an open source Python command line tool that gives AI agents the ability to read and search the wider internet — Twitter/X, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu among others — for developers and agent builders who want that reach without paying for platform APIs.
read the full Agent-Reach overview →
About qwen-code
Qwen Code is an open source AI coding agent that runs in the terminal, with additional interfaces for editors, desktop, browser, and chat. It is written in TypeScript and released under the Apache 2.0 license, and it lives in the AI and machine learning ecosystem as a development platform for agentic coding. The project is maintained by QwenLM and published on npm as @qwen code/qwen code , with a documentation site hosted at qwenlm.github.io. It ships as a command line tool named qwen that opens an interactive session inside a project directory.
read the full qwen-code overview →
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Frequently asked questions
Is Agent-Reach or qwen-code more popular?
Agent-Reach has 83,525 GitHub stars and qwen-code has 27,997. Agent-Reach has the larger community by that measure.
Are Agent-Reach and qwen-code free?
Both are open source. Agent-Reach is licensed under MIT and qwen-code under Apache-2.0. Neither carries a licence fee.
What is the difference between Agent-Reach and qwen-code?
Agent-Reach is written in Python and qwen-code in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Agent-Reach or qwen-code?
Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose qwen-code if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.