Cut Claude Code Token Usage by Up to 95% With Headroom, a Free Open-Source Context Compressor

One command wraps Claude Code, Codex, or Cursor so tool outputs, logs, files, and history are compressed before they reach the model

Cut Claude Code Token Usage by Up to 95% With Headroom

By the end of this guide, you'll have Headroom (github.com/headroomlabs-ai/headroom), a free open-source compressor, wrapped around Claude Code so everything the agent reads is shrunk before it hits the LLM. It compresses tool outputs, logs, files, and conversation history, installs with one command that wraps Claude Code, Codex, or Cursor, supports shared memory across multiple agents, and is fully reversible because the originals are cached. Same answers, a fraction of the tokens, which is a big win for long agent sessions and heavy tool use.

Who This Is For

• Anyone hitting Claude usage or token limits during long Claude Code sessions

• Builders running heavy tool use, big logs, or large files through an agent

• Teams running several agents that should share one compressed memory

What You'll Have

• Headroom installed and wrapping your coding agent with a single command

• Tool outputs, logs, files, and history compressed before they consume context

• Reversible compression, with originals cached rather than discarded

• Shared memory across multiple agents

What You'll Need

• Claude Code, Codex, or Cursor already installed

• The Headroom repository at github.com/headroomlabs-ai/headroom

• About 60 seconds, per the README's "Get started" section

Going Further

— Guide: Claude Code Token Optimization Pipeline (AI Foundation)

— Guide: Cut Your Claude API Costs With Context Engineering (AI Tools)

— Guide: How to Avoid Hitting Your Claude Plan Limits With One Simple Routine (AI Foundation)