headroom

Compresses tool output, logs and files before they reach the model

★ 78k · updated today

View headroomlabs-ai/headroom on GitHub

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What it does

Compresses tool output, logs, files and retrieved chunks before they reach the language model, to cut the tokens an agent uses while keeping its answers the same. It comes as a library, a proxy and an MCP server. Its authors report about 20% fewer tokens for coding agents and 60–95% fewer for JSON.

Read the README on GitHub

Who it’s for

Teams running agents or retrieval (RAG) pipelines whose context fills up with long tool output and logs.

Install

Get the code, then follow the repository's install steps for your system:

git clone https://github.com/headroomlabs-ai/headroom.git
cd headroom

Run it with --help to see its commands.

Activity

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today
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At a glance

Licence: Apache-2.0. The licence is the authors’, as GitHub reports it. Check the repository before you rely on it.

Type
CLI tool
Languages
Python
Maintainer
headroomlabs-ai
Stars on GitHub
★ 78k
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