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.