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c/headroom

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Project infoheadroomlabs-ai/headroom

About

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Open sourceCreated November 13, 2026

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Open-source project

Avatar from GitHubheadroomlabs-ai/headroomView on GitHub
Community-run · not official
Stars
79.6K
Forks
6.2K
Language
Python
License
Apache-2.0

Last commit Nov 13, 2026

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headroom: A local context compression layer for AI agents that reduces prompt inputs before they reach an LLM.

What problem it solves AI agents often send large tool outputs, logs, files, RAG chunks, and conversation history to language models, increasing the input context that must be processed. Developers need to reduce that input while preserving important content, keeping compression local, and retaining access to original material when necessary. Key features Content-aware compression — A ContentRoute…

github.comhttps://github.com/headroomlabs-ai/headroom