🔥 Hot Repo: Netflix's $700K Token-Saver Just Went Open Source

One-liner — Headroom is a drop-in context compression layer for AI agents that strips redundant tokens from tool outputs, logs, RAG chunks, and code before they reach the LLM — cutting costs by up to 90% without degrading accuracy. - Repo: chopratejas/headroomhttps://github.com/chopratejas/headroom - Stars: ⭐ 4,908 +1,266 today - Language: Python / Rust - License: Apache 2.0 --- What It Does Headroom sits between your AI agent and the LLM, compressing every piece of context before it hits the model. It uses six compression engines — including AST-aware code reduction, JSON optimization, and a HuggingFace-based text squasher — to eliminate redundant tokens while preserving the information the model actually needs. Real-world benchmarks show 73–92% token reduction on code search, SRE debugging, and issue triage workloads, with no meaningful degradation on GSM8K, TruthfulQA, or SQuAD v2. Why It's Blowing Up Tejas Chopra, a senior engineer at Netflix, built Headroom internally to tackle runaway LLM costs across Netflix's agentic pipelines. He quietly shipped the open-source version in January 2026. Last week, at the Open Source Summit, he disclosed a striking number: Headroom has collectively saved users an estimated $700,000 in token costs across 200 billion tokens freed. That talk triggered a wave of press coverage — The Register, AI Weekly, Open Source For You — and drove the repo from 2,000 stars to nearly 5,000 in days. The spike pushed Headroom to 1 on GitHub Trending today June 2, adding 1,266 stars in a single session. The timing is perfect. Claude Code, Codex, and Cursor agents routinely burn million-token context windows on log triage and code search. A tool that cuts 92% of that overhead with zero code changes — via a proxy or MCP server — hits a direct pain point. The June 1 v0.22.4 release extended CLI wrapping to Cline, Continue, Goose, and OpenHands, broadening support to essentially every major open-source coding agent. Key Features - Smart