head to head · open source
Agent-Reach vs prompt-master
Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. prompt-master has 13,390 stars, 1,556 forks, 33 open issues and last shipped 27 days ago. Agent-Reach leads on adoption by 524% (83,525 vs 13,390 stars). Agent-Reach is written in Python under MIT; prompt-master is written in various languages under MIT. Agent-Reach has attracted 9% as many forks as stars, prompt-master 12%. Agent-Reach was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | prompt-master | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 13K |
| License | MIT | MIT |
| Written in | Python | — |
| Last push | 2026-09-15 | 2026-08-24 |
| Forks | ⑂ 7.3K | ⑂ 1.6K |
| 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 prompt-master if
- You want the prompt-master feature set and don't need the biggest community
- You prefer the MIT license terms
- You evaluated both and prompt-master 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 prompt-master
Prompt Master is a Claude skill that writes prompts for other AI tools. It lives in the Claude skills ecosystem: a downloadable repository that is uploaded into Claude.ai through the Customize → Skills interface, or cloned into the Claude Code skills directory. The project carries an MIT license and the topics claude ai, claude skills, llm, and prompt engineering, placing it squarely in AI development tooling rather than in application software.
read the full prompt-master overview →
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Frequently asked questions
Is Agent-Reach or prompt-master more popular?
Agent-Reach has 83,525 GitHub stars and prompt-master has 13,390. Agent-Reach has the larger community by that measure.
Are Agent-Reach and prompt-master free?
Both are open source. Agent-Reach is licensed under MIT and prompt-master under MIT. Neither carries a licence fee.
What is the difference between Agent-Reach and prompt-master?
Agent-Reach is written in Python and prompt-master in various languages. 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 prompt-master?
Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose prompt-master if its feature set, stack or MIT licence fits better. Both are self-hostable.