head to head · open source
headroom vs crewAI
headroom has 72,811 GitHub stars, 5,598 forks, 643 open issues and last shipped 2 days ago. crewAI has 58,726 stars, 8,498 forks, 353 open issues and last shipped yesterday. headroom leads on adoption by 24% (72,811 vs 58,726 stars). headroom is written in Python under Apache-2.0; crewAI is written in Python under MIT. headroom has attracted 8% as many forks as stars, crewAI 14%. crewAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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 | crewAI | |
|---|---|---|
| GitHub stars | ★ 73K | ★ 59K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-18 |
| Forks | ⑂ 5.6K | ⑂ 8.5K |
| 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 crewAI if
- You want the crewAI feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and crewAI 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 crewAI
CrewAI is an open source Python framework for orchestrating role playing, autonomous AI agents through collaborative Crews and event driven Flows, released under the MIT licence and built for developers and teams producing multi agent workflows in production.
read the full crewAI overview →
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Frequently asked questions
Is headroom or crewAI more popular?
headroom has 72,811 GitHub stars and crewAI has 58,726. headroom has the larger community by that measure.
Are headroom and crewAI free?
Both are open source. headroom is licensed under Apache-2.0 and crewAI under MIT. Neither carries a licence fee.
What is the difference between headroom and crewAI?
headroom is written in Python and crewAI in Python. 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 crewAI?
Choose headroom if you want the larger community (72,811 stars) or its Apache-2.0 licence terms. Choose crewAI if its feature set, stack or MIT licence fits better. Both are self-hostable.