head to head · open source
headroom vs prompt-master
headroom has 73,130 GitHub stars, 5,624 forks, 643 open issues and last shipped yesterday. prompt-master has 13,390 stars, 1,556 forks, 33 open issues and last shipped 27 days ago. headroom leads on adoption by 446% (73,130 vs 13,390 stars). headroom is written in Python under Apache-2.0; prompt-master is written in various languages under MIT. headroom has attracted 8% as many forks as stars, prompt-master 12%. headroom was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| headroom | prompt-master | |
|---|---|---|
| GitHub stars | ★ 73K | ★ 13K |
| License | Apache-2.0 | MIT |
| Written in | Python | — |
| Last push | 2026-09-19 | 2026-08-24 |
| Forks | ⑂ 5.6K | ⑂ 1.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick headroom if
- You weight community size — 73K stars and counting
- You want the Apache-2.0 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 headroom
Headroom is an Apache 2.0 Python library, local proxy, agent wrapper and MCP server that compresses tool outputs, logs, files, RAG chunks and conversation history before they reach an LLM, and it is built for developers running AI coding agents or LLM applications who want to cut token usage without changing the answers they get.
read the full headroom 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 headroom or prompt-master more popular?
headroom has 73,130 GitHub stars and prompt-master has 13,390. headroom has the larger community by that measure.
Are headroom and prompt-master free?
Both are open source. headroom is licensed under Apache-2.0 and prompt-master under MIT. Neither carries a licence fee.
What is the difference between headroom and prompt-master?
headroom 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, headroom or prompt-master?
Choose headroom if you want the larger community (73,130 stars) or its Apache-2.0 licence terms. Choose prompt-master if its feature set, stack or MIT licence fits better. Both are self-hostable.