headroom: open-source tool compresses LLM context, cutting coding agent tokens by 20%
adnan_hashmi · x · 2026-09-03
GitHub open-source project headroom (68.5k stars) compresses tool outputs, logs, files, and RAG chunks before they reach an LLM to cut token usage.
Reported benchmarks:
- 20% fewer tokens for coding agents
- 60-95% fewer tokens for JSON payloads
- Same answer quality after compression
It ships as a library, a proxy, or an MCP server, so it can be dropped into existing agent workflows to reduce inference cost and context bloat.
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