head to head · open source
headroom vs Suna
headroom has 78,657 GitHub stars, 6,141 forks, 643 open issues and last shipped yesterday. Suna has 20,354 stars, 3,440 forks, 74 open issues and last shipped yesterday. headroom leads on adoption by 286% (78,657 vs 20,354 stars). headroom is written in Python under Apache-2.0; Suna is written in TypeScript under a custom or non-standard licence. headroom has attracted 8% as many forks as stars, Suna 17%. Suna was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, 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 | Suna | |
|---|---|---|
| GitHub stars | ★ 79K | ★ 20K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 6.1K | ⑂ 3.4K |
| 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 Suna if
- You want the Suna feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches TypeScript
- You evaluated both and Suna 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 Suna
Kortix The open source AI Management System The leading open source alternative to Claude Cowork and ChatGPT Work. Website · Documentation · Cloud · Manifesto Agents that deliver finished work — reports, decks, code, replies, deployed changes — are now a product category. Every version of it runs inside a model lab, on that lab's model, with your company's brain on their side of the wall. Kortix is the one you own. It's an open source AI Management System : your agents, the skills they share, your company memory, and every connector live in one git repo — versioned, diffable, and shared by the whole company. The…
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Frequently asked questions
Is headroom or Suna more popular?
headroom has 78,657 GitHub stars and Suna has 20,354. headroom has the larger community by that measure.
Are headroom and Suna free?
Both are open source. headroom is licensed under Apache-2.0, and Suna has no licence declared in this registry. Both are free to self-host.
What is the difference between headroom and Suna?
headroom is written in Python and Suna 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, headroom or Suna?
Choose headroom if you want the larger community (78,657 stars) or its Apache-2.0 licence terms. Choose Suna if its feature set, stack or Custom / other licence fits better. Both are self-hostable.