Headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
At a glance.
A compact read before the deeper capability notes and official setup links.
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
60–95% fewer tokens · library · proxy · MCP · 6 algorithms · local-first · reversible
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.
Agent wrap — headroom wrap claude codex cursor aider copilot in one command
MCP server — headroomcompress, headroomretrieve, headroomstats for any MCP client
Cross-agent memory — shared store across Claude, Codex, Gemini, auto-dedup
headroom learn — mines failed sessions, writes corrections to CLAUDE.md / AGENTS.md
Granular extras: [proxy], [mcp], [ml], [agno], [langchain], [evals].
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-05-16T03:33:19Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.