About Headroom on AIStoreHub
Description: Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Asset Type: mcp_server (coding).
Compatible Foundation Models: Frontier LLMs (GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro).
How to install or reuse: Using the official AIStoreHub CLI:pip install aistorehub && aistorehub pull store/headroom
