Headroom (GitHub Repo)
Summary
Headroom is an open-source tool that compresses context for AI agents—tool outputs, logs, RAG chunks, and conversation history—before they reach the LLM, reducing tokens by 60–95% while preserving answer quality. It supports multiple integration modes including library, proxy, agent wrapping, and MCP server, and offers reversible compression with cross-agent memory.
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Cached at: 05/19/26, 12:20 AM
60–95% fewer tokens · library · proxy · MCP · 6 algorithms · local-first · reversible
Docs · Install · Proof · Agents · Discord · llms.txt
AI agents / LLMs: read /llms.txt here, or fetch the live index / full docs blob.
Live: 10,144 → 1,260 tokens — same FATAL found.
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@AlphaSignalAI: https://x.com/AlphaSignalAI/status/2062553418460479577
An open-source tool called Headroom compresses AI agent context by up to 90% using a reversible Compress-Cache-Retrieve architecture, enabling models to retrieve original details on demand instead of discarding them permanently.
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