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headroomlabs-ai/headroom

headroomlabs-ai/headroom is an Apache-2.0 open-source context compression layer for AI agents that compresses tool outputs, logs, files, RAG chunks, and conversation history before they hit the LLM, ships as a Python library, an npm package, an HTTP proxy, and an MCP server, and ships six reversible compression algorithms plus a custom Kompress-v2-base model that together claim 60–95% token reduct

Open source →Back to radar
Score8.1
Popularity457.0
Risklow
TierGold
Score breakdown
Usefulness8.5
Novelty10.0
Momentum10.0
Maturity8.9
Open-source/build7.4
Evidence7.2
Workflow potential9.2
Setup ease6.5

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for AI agent developers, RAG/retrieval engineers, and teams building Claude Code, Codex, Cursor, or any production agent loop who want a working library + proxy + MCP server that compresses every layer of an agent's input (tool outputs, logs, RAG chunks, conversation history) before it hits the model, because headroomlabs-ai/headroom ships six reversible algorithms plus a custom Kompress-v2

Who should use it

BuildersPower users

Who should skip it

Skip if the source link, docs, or setup requirements do not match your workflow.

Risk explanation

Risk label needs manual review.

Evidence links

Closest alternatives / related signals