head to head · open source
headroom vs Multica
headroom has 78,657 GitHub stars, 6,141 forks, 643 open issues and last shipped yesterday. Multica has 54,637 stars, 7,186 forks, 1,538 open issues and last shipped yesterday. headroom leads on adoption by 44% (78,657 vs 54,637 stars). headroom is written in Python under Apache-2.0; Multica is written in Go under a custom or non-standard licence. headroom has attracted 8% as many forks as stars, Multica 13%. Multica 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
| headroom | Multica | |
|---|---|---|
| GitHub stars | ★ 79K | ★ 55K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 6.1K | ⑂ 7.2K |
| 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 Multica if
- You want the Multica feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Go
- You evaluated both and Multica 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 Multica
Multica Agents that show up on the board. Multica is an open source workspace where you assign work to AI coding agents the way you'd assign it to a teammate — they pick up the issue, report progress, raise blockers, and hand it back for review. Self hostable, works with 26 agent CLIs, no lock in. Website · Docs · Quickstart · Download · Vision · Self Hosting · Discord · X English 简体中文 Your next 10 hires won't be human. What is Multica? You already run Claude Code, Codex, and three other agents. Each one lives in its own terminal tab, forgets everything when the session ends, and leaves you re explaining the…
read the full Multica overview →
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Frequently asked questions
Is headroom or Multica more popular?
headroom has 78,657 GitHub stars and Multica has 54,637. headroom has the larger community by that measure.
Are headroom and Multica free?
Both are open source. headroom is licensed under Apache-2.0, and Multica has no licence declared in this registry. Both are free to self-host.
What is the difference between headroom and Multica?
headroom is written in Python and Multica in Go. 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 Multica?
Choose headroom if you want the larger community (78,657 stars) or its Apache-2.0 licence terms. Choose Multica if its feature set, stack or Custom / other licence fits better. Both are self-hostable.