Headroom: compressing AI agent context to save tokens and improve efficiency
Summary
Headroom is an open-source compression proxy and library designed to reduce tokens used by AI agents by compressing prompts, tool outputs, logs, and RAG data on-device. The README outlines core components (Library, Proxy, MCP server, cross-agent memory), deployment options, usage primitives, and proof-of-savings, plus telemetry and enterprise considerations. It positions Headroom as a scalable way to lower latency and cost in AI workflows while keeping data on the user’s side.