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Open Source r/claudeskills

headroom: compression layer claims 60-95% token reduction

TLDR

headroom sits between agent and LLM, compressing tool outputs, logs, RAG chunks, files and history before they hit the model, claiming the same answers on far fewer tokens. Stars went vertical as model costs rose.

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