Headroom
Headroom is a library, proxy, and MCP server that shrinks tool outputs, logs, and files before they reach an AI model, cutting token costs for agents.
What it is good for
- Reducing token costs when AI coding agents read large tool outputs
- Shrinking big JSON files and logs before sending them to an AI model
- Lowering the cost of long AI sessions without changing the answers
- Cutting the size of retrieved documents in RAG setups
At a glance
- Who it is for
- Setup
- Guided command-line setup
Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.
- Cost
- Free and open source
- Type
- Framework or SDK
- Tasks
- Works with
- Claude Code, Codex, Cursor, Aider, LangChain, OpenAI
Momentum
- Rank this week
- #39 in builder tools
- Best rank
- #39 week 44, 2026
- Stars gained last week
- +791
- GitHub stars
- 78,609
GitHub numbers as of Nov 2, 2026. Updated weekly.
Ranking history
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Is Headroom free?
- Yes. It is free and open source (Apache-2.0 license).
- Do I need to know how to code to use Headroom?
- You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
- What does Headroom work with?
- According to its own documentation, it works with Claude Code, Codex, Cursor, Aider, LangChain, and OpenAI.
- What is Headroom good for?
- Reducing token costs when AI coding agents read large tool outputs, shrinking big JSON files and logs before sending them to an AI model, lowering the cost of long AI sessions without changing the answers, and cutting the size of retrieved documents in RAG setups.
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