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[GitHub Trending] chopratejas/headroom

8 relevance
Score Breakdown
technical depth
8
novelty
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actionability
8
community
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strategic
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personal
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Compress tool outputs for LLM, highly relevant to AI efficiency.

AI/ML github.com
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server. - chopratejas/headroom
Summary

Headroom is an open-source context compression layer for AI agents that reduces token usage by 60–95% while preserving accuracy on benchmarks like GSM8K and SQuAD v2. It operates as a Python/TypeScript library, a zero-code proxy, an agent wrapper (Claude, Codex, Cursor), and an MCP server, all running locally with reversible compression (CCR) for on-demand retrieval.

Author

chopratejas