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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… Why it matters: useful plumbing for shipping LLM-powered features.

GitHub 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.

Stars

75k

Last 24h

+270est.

Last 7 days

+1.9kest.

Forks

5.8k

Star history (last 1 snapshot)

Star history for headroomlabs-ai/headroom

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About headroom

headroomlabs-ai/headroom is a Python project in the LLM tooling category, created 9 months ago. It has 75k GitHub stars and 5.8k forks, and gained +1.9k stars over the last 7 days (early estimate), ranking #18 of 167 LLM tooling repos tracked by OSS Radar this week.

See more trending LLM tooling repos or the top AI repos this week.

Language
Python
Category
LLM tooling
Created
Jan 7, 2026
Last push
Oct 13, 2026
  • agent
  • ai
  • anthropic
  • claude-code
  • compression
  • context-engineering
  • context-window
  • cursor
  • fastapi
  • langchain
  • llm
  • mcp
  • openai
  • prompt-engineering
  • proxy
  • python
  • rag
  • token-optimization
  • tokens
  • typescript

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