AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
LLM에 전달 전 출력·로그·파일·RAG 청크를 압축해 토큰 사용량을 크게 줄임
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
개발 도구Python · RustGitHub @headroomlabs-ai직접 설치운영자 미확인
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README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
AI agents / LLMs: read /llms.txt here, or fetch
the live index ·
full docs blob .
Headroom compresses everything your AI agent reads — tool outputs, logs, RAG
chunks, files, and conversation history — before it reaches the LLM. Same
answers, fraction of the tokens. Compression runs on your machine; no prompt or
file content is sent anywhere to be compressed.
10,144 → 1,260 tokens. The same FATAL found.README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
AI agents / LLMs: read /llms.txt here, or fetch
the live index ·
full docs blob .
Headroom compresses everything your AI agent reads — tool outputs, logs, RAG
chunks, files, and conversation history — before it reaches the LLM. Same
answers, fraction of the tokens. Compression runs on your machine; no prompt or
file content is sent anywhere to be compressed.
10,144 → 1,260 tokens. The same FATAL found.README 전문 보기 ↗