head to head · open source
headroom vs crewAI
headroom has 78,773 GitHub stars, 6,155 forks, 643 open issues and last shipped today. crewAI has 60,469 stars, 9,025 forks, 353 open issues and last shipped yesterday. headroom leads on adoption by 30% (78,773 vs 60,469 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 15%. headroom 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 | ★ 79K | ★ 60K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 6.2K | ⑂ 9.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick headroom if
- You weight community size — 79K 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
Quickstart · Install · Proof · Agents · Docs · Discord · llms.txt AI agents / LLMs: read /llms.txt here, or fetch the live index · full docs blob . Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. Same answers, fraction of the tokens. Compression runs on your machine; no prompt or file content is sent anywhere to be compressed. 10,144 → 1,260 tokens. The same FATAL found. What it does Library — compress(messages) in Python or TypeScript, inline in any app. Proxy — headroom proxy port 8787 , zero code changes, any…
read the full headroom overview →
About crewAI
Homepage · Open Source · Docs · Start Cloud Trial · Blog · Forum Fast and Flexible Multi Agent Automation Framework CrewAI is an open source Python framework with high level abstractions and low level APIs for building production ready multi agent workflows. It gives developers autonomous agent collaboration through Crews and precise, event driven control through Flows. CrewAI Crews : Optimize for autonomy and collaborative intelligence with role based AI agents. CrewAI Flows : Build event driven automations that combine precise workflow control, single LLM calls, and native support for Crews. With over 100,000…
read the full crewAI overview →
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Frequently asked questions
Is headroom or crewAI more popular?
headroom has 78,773 GitHub stars and crewAI has 60,469. 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 (78,773 stars) or its Apache-2.0 licence terms. Choose crewAI if its feature set, stack or MIT licence fits better. Both are self-hostable.