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.

活跃维护 Apache 2.0 Python Notable
77.9k 6.1k 2 小时前
CIDockerPyPI
agent ai anthropic compression context-engineering context-window fastapi langchain llm mcp openai proxy python rag token-optimization claude-code cursor prompt-engineering tokens typescript
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星标趋势

数据积累中，暂无足够数据生成趋势图

AI 分析

项目摘要

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.

为什么值得关注

High popularity with 77,908 stars, active contributor community (335 contributors), frequent releases.

优势

  • Large and active community
  • Continuous integration configured
  • Test suite present

局限性

  • Limited documentation
分析模型：fallback | 分析时间：刚刚