Headroom, a GitHub repo by Tejas Chopra (Netflix), compresses agent inputs — tool…

Brief

Headroom, a GitHub repo by Tejas Chopra (Netflix), compresses agent inputs — tool outputs, logs, files, RAG chunks, code search results, and conversation history — before they reach the LLM. The developer claims 60–95% fewer tokens while preserving answers; it offers Python/TypeScript libraries, a local proxy, MCP server, and wrappers for Claude Code, Codex, Cursor, Aider, and Copilot.

So I found a github repo that stops AI agents from burning tokens for no reason.

It’s called Headroom.

It's built by a guy name Tejas Chopra who works at Netflix.

Basically, it compresses all the things your AI agent reads before it reaches the LLM.

For example:

Tool outputs
Logs
Files
RAG chunks
Code search results
Conversation history

Developer claims 60–95% fewer tokens with the same answers.

Right now you can use it with:

Python/TypeScript library
Local proxy
MCP server
Wrapper for Claude Code, Codex, Cursor, Aider, and Copilot

If your coding agent is getting expensive, slow, or lost in giant logs, this repo is worth checking out.

Thanks for reading.