Getting startedPython

headroomOpen-Source Context Compression to Shrink LLM Token Usage

Headroom is an open-source context compression system designed to reduce the tokens consumed by AI agents and LLMs. It compresses tool outputs, log files, RAG chunks, and other bulky payloads before they reach the model, and reports 60-95% fewer tokens on JSON data and 15-20% fewer tokens for coding agents while keeping answers accurate. Written in Rust with Python and TypeScript SDKs, Headroom ships as a library, proxy server, MCP server, or agent wrapper. Content-aware compressors handle JSON, source code, and general text, and reversible compression stores originals locally so nothing is lost. Licensed under Apache-2.0, with 46,701 GitHub stars at the time of collection.

46.7K Stars

3.2K Forks

393 Issues

86 Views

Python

Apache-2.0

IndexedJuly 13, 2026

GitHub repository Online Demo

Project Overview

Headroom is an open-source context compression system that reduces the token consumption of AI agents and LLMs. It compresses tool outputs, log files, RAG chunks, and other large payloads before they reach the model, while preserving answer accuracy.

Core Features

Token Compression: The vendor claims 60-95% fewer tokens on JSON data and 15-20% fewer tokens for coding agents, without sacrificing accuracy.
Content-Aware Compressors: Specialized compressors handle JSON, source code, and general text.
Reversible Compression: Originals are stored locally, ensuring no information loss during compression.
Multiple Deployment Modes: Available as a library, proxy server, MCP server, or agent wrapper.

Technology Stack

Written primarily in Rust, with Python and TypeScript SDKs. Licensed under Apache-2.0.

Getting Started

Refer to the project's README for detailed installation and usage instructions.

headroomLLMtoken compressionopen-sourcecost optimizationPythonRAGefficiency toolAI savingslarge language models

Sources & Verification

This entry is compiled and reviewed against the project’s primary sources:

Last verified:: July 13, 2026
Reviewed by:: SoFarBot Editorial Team

We confirm the project resolves to its real repository, classify it, and label its open-source license and language. Metrics such as stars and last commit reflect the upstream repository and are refreshed as it changes.

Project Rating

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Frequently Asked Questions

What is headroom: Open-Source Context Compression to Shrink LLM Token Usage?

What language is headroom: Open-Source Context Compression to Shrink LLM Token Usage written in?

headroom: Open-Source Context Compression to Shrink LLM Token Usage is primarily written in Python.

What license is headroom: Open-Source Context Compression to Shrink LLM Token Usage under?

headroom: Open-Source Context Compression to Shrink LLM Token Usage is released under the Apache-2.0 license.

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