chopratejas · 2026-06-16 · notable
Headroom v0.26.0 — context compressor adds Copilot BYOK and Bedrock proxy
Headroom v0.26.0 shipped on 2026-06-16, adding Copilot BYOK provider wrappers and CLI support, Mistral Vibe CLI support, and an AWS Bedrock InvokeModel/Converse compression proxy. The Apache-2.0 context compressor has crossed 36,900 stars and topped GitHub trending this week.
Drop-in token compression layer for AI agents that claims 60–95% fewer tokens with single-digit accuracy hit.
Key specs
| License | Apache-2.0 |
|---|---|
| GitHub stars | 7.7K |
| Stars added in last 24h | ~1,265 |
| Forks | 518 |
| Reported token savings (code search) | 92% |
| Reported token savings (sre debugging) | 92% |
| Reported token savings (git hub issue triage) | 73% |
| Latest release | v0.22.4 (2026-06-01) |
What is it?
Headroom sits between an agent and an LLM and compresses anything that flows in: tool outputs, log dumps, file reads, RAG chunks, and conversation history. It runs as a Python or TypeScript library, an OpenAI-compatible proxy, an MCP server, or a CLI wrapper around Claude Code, Cursor, Codex, Aider, OpenHands, and similar agents.
How does it work?
Six compression algorithms specialize by content type — SmartCrusher for JSON, AST-aware CodeCompressor for source, Kompress-base for prose, ContentRouter to pick between them, CacheAligner for prefix reuse, and CCR for reversible compression where the original data stays local and the LLM can request the full payload if it needs it. Cross-agent memory lets Claude, Codex, and Gemini share a deduplicated context store.
Why does it matter?
Token bills are the new dominant cost line for production agents (Uber just capped its coding spend after blowing the annual budget in 4 months). Headroom hit GitHub trending #1 today with 1,265 stars in 24 hours because it offers a Python pip install that benchmarks claim cuts cost ~10× without rewriting prompts.
Who is it for?
agent builders and platform teams trying to keep token spend from outpacing ROI
Try it
pip install "headroom-ai[all]" && headroom proxy --port 8787