head to head · open source
headroom vs aihawk_mcp_server
headroom has 78,657 GitHub stars, 6,141 forks, 643 open issues and last shipped yesterday. aihawk_mcp_server has 32,357 stars, 4,739 forks, 2 open issues and last shipped 3 days ago. headroom leads on adoption by 143% (78,657 vs 32,357 stars). headroom is written in Python under Apache-2.0; aihawk_mcp_server is written in TypeScript under MIT. headroom has attracted 8% as many forks as stars, aihawk_mcp_server 15%. headroom 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 | aihawk_mcp_server | |
|---|---|---|
| GitHub stars | ★ 79K | ★ 32K |
| License | Apache-2.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-10-31 |
| Forks | ⑂ 6.1K | ⑂ 4.7K |
| 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 aihawk_mcp_server if
- You want the aihawk_mcp_server feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and aihawk_mcp_server 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 aihawk_mcp_server
AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. Tell it what you want in plain language. FEATURED IN Business Insider · TechCrunch · Semafor · Wired · The Verge · Vanity Fair · 404 Media Two ways to use this browser agent 1. From your assistant, over MCP Windows, in PowerShell: Linux: Then install it in your assistant. Claude Code: Codex: Gemini CLI: 2. Standalone: the web UI We bring the interface, you bring an OpenRouter key. Chat on the left, the live browser on the right. Windows, in PowerShell: Linux: Then open…
read the full aihawk_mcp_server overview →
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Frequently asked questions
Is headroom or aihawk_mcp_server more popular?
headroom has 78,657 GitHub stars and aihawk_mcp_server has 32,357. headroom has the larger community by that measure.
Are headroom and aihawk_mcp_server free?
Both are open source. headroom is licensed under Apache-2.0 and aihawk_mcp_server under MIT. Neither carries a licence fee.
What is the difference between headroom and aihawk_mcp_server?
headroom is written in Python and aihawk_mcp_server 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 aihawk_mcp_server?
Choose headroom if you want the larger community (78,657 stars) or its Apache-2.0 licence terms. Choose aihawk_mcp_server if its feature set, stack or MIT licence fits better. Both are self-hostable.