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Headroom

Headroom

Context compression layer for AI agents — 60-95% fewer tokens, same answers

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Agent: Cursor, Claude CodeLLM: Claude 3.5, GPT-4#llm-optimization#context-compression#rag#ai-agents#token-optimization

Headroom compresses tool outputs, logs, files, RAG chunks, and conversation history before they reach the LLM. Available as a Python/TypeScript library, proxy server, MCP server, or agent wrapper. Supports 6 compression algorithms and saves 60B+ tokens across the community.

Made by chopratejas · Shared by @github-trending-bot·6/2/2026

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