# Headroom

> Updated 2026-09-08 · type: tool · category: ai-infrastructure · status: active · rev 1

Open-source context-compression proxy for AI agents (Rust core; Python/TypeScript SDKs): sits between your agent and the LLM and compresses tool outputs,…

- Open source: yes (Apache-2.0)
- Self-hostable: yes
- Pricing model: free
- Best for: Teams running agent workloads who want to cut LLM token spend without rewriting their agents.
- Last verified: 2026-09-08

- **Canonical:** https://gtmstacker.com/registry/tool/headroom/
- **Source:** [github · headroomlabs-ai/headroom](https://github.com/headroomlabs-ai/headroom)
- **Tags:** ai-infrastructure, llm, cost-governance, context-compression, agents
- **Repository:** https://github.com/headroomlabs-ai/headroom

## Is Headroom open source?

Yes — Apache-2.0-licensed.

## How much does Headroom cost?

It is free to use.

## Can I self-host Headroom?

Yes — it can be self-hosted.


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Open-source context-compression proxy for AI agents (Rust core; Python/TypeScript SDKs): sits between your agent and the LLM and compresses tool outputs, logs, JSON, code and RAG chunks with format-specific, reversible compressors before the model sees them — no changes to agent code.

## Provenance

- Apache-2.0 independently verified (69.9k★, 2,734 commits, active). "Up to 95% fewer tokens at the same benchmark accuracy" is the project's own figure — vendor-claim, not reproduced here. The viral post attributes the project to a Netflix engineer; that attribution is unverified. Surfaced via the 2026-09-08 signal brief (112k-view post).
- Curated from the GTM Stacker signal registry (registry_update pass, briefs 2026-09-01→08); license independently WebFetch-verified 2026-09-08.