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Headroom: Compress LLM Inputs by 60-95% â A Token-Saving Proxy, Library & MCP Server â A Practical Guide 2026

Curated find from dibi8.com — open-source, production-relevant:

Headroom: Compress LLM Inputs by 60-95% — A Token-Saving Proxy, Library & MCP Server — A Practical Guide 2026

Headroom (19,745 GitHub stars) compresses tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, and MCP server. Includes setup

Read the full breakdown on dibi8: https://dibi8.com/resources/llm-frameworks/headroom-token-compression-proxy-library-mcp-server/


This is a curated highlight from dibi8.com — open-source AI tools directory, hand-edited, 4 languages. The full article (with comparisons, setup guide, and code samples) lives on dibi8.

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