Daily AI Coding Agent Users
Great for developers using AI coding agents who want to save on token costs.
Skip if:
Skip if you only use a single provider's native compaction.

Open source alternative to The Token Company and Kong AI Gateway
Last verified
Optimize LLM context by compressing tool outputs, logs, files, and RAG chunks before they reach the model.
Great for developers using AI coding agents who want to save on token costs.
Skip if you only use a single provider's native compaction.
Ideal for teams that work across various AI agents needing shared memory.
Skip if you work in a sandboxed environment where local processes can't run.
The project helps solve the problem of high token usage in LLM applications by compressing inputs without losing essential information.
Compresses data aggressively while retaining originals for retrieval.
Automatically detects and routes content types to the best compressor.
Enhances cache hits by stabilizing prefixes, leading to cost savings.
Reduces token usage by 40-90% through intelligent image processing.
Maintains memory across sessions using SQLite and HNSW backends.
Learns from past failures to improve future performance.
Headroom runs locally, covers every content type, works with every major framework, and is reversible. Unlike other tools, it does not require sending data to an external API, ensuring data privacy and control.
Install the Python package with all extras, or add the Node package for TypeScript apps:
pip install "headroom-ai[all]"
npm install headroom-aiHeadroom can compress tool outputs, database results, file reads, RAG results, and more.
It uses lossless compression techniques that retain original data for retrieval.
Yes, Headroom integrates seamlessly with various frameworks and requires minimal changes.
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Run headroom on your own server
Hostinger sets headroom up as a one-click app on a VPS.
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