headroom: compression layer claims 60-95% token reduction
The brief
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.
Key points
- Stars went vertical as model costs rose.
Sources
- r/claudeskillsreddit.com