H
headroom
headroomlabs-ai/headroom
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.
★65.4kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A open-source Data & Infrastructure project, built with Python, focusing on agent and anthropic
Who made it?Maintained by headroomlabs-ai team, 65.4K⭐ on GitHub, #17 out of 3133 in Data & Infrastructure
Why does it exist?With the growing demand for agent and anthropic in Data & Infrastructure, headroomlabs-ai created headroom as a streamlined solution.
What can it do?Key use cases: claude-code, compression, context-engineering
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/headroomlabs-ai/headroom | 官网 https://docs.headroomlabs.ai/docs
🔗 github.com/headroomlabs-ai/headroom | 官网 https://docs.headroomlabs.ai/docs
Topics
agentaianthropicclaude-codecompressioncontext-engineeringcontext-windowcursorfastapilangchainllmmcpopenaiprompt-engineeringproxypythonragtoken-optimizationtokenstypescript