Open-source context compression

    Headroom for Claude: 60–90% fewer tokens.

    Headroom sits in front of Claude and strips redundant context — logs, files, and database dumps — before they reach the model. Same answers. A fraction of the token cost.

    This is a third-party open-source project I recommend — not something I built.

    Watch the Short

    The 60-second version.

    Saw the YouTube Short and want the full setup? The install commands and benchmarks are below. It takes about five minutes to wrap Claude.

    60–90% fewer tokens 5-minute setup

    Why this matters

    Claude is reading noise you never asked for.

    When you paste logs, stack traces, or database dumps into Claude, a huge chunk of the tokens are repetitive headers, timestamps, and boilerplate. Headroom compresses that context while keeping the signal intact. The result is the same answer with fewer input tokens.

    GitHub stars

    60,748+

    Tokens saved

    59.0B

    Cost saved

    $235.9K

    Published benchmarks

    Token savings by task.

    Headroom's own evaluations show heavy compression on the tasks that usually blow up Claude's context window. Accuracy on standard benchmarks (GSM8K, TruthfulQA, SQuAD, BFCL) stayed flat or improved.

    Code search

    92%

    Accuracy held steady

    SRE debugging

    92%

    Accuracy held steady

    GitHub issue triage

    73%

    Accuracy held steady

    Codebase exploration

    47%

    Accuracy held steady

    Easiest Path — 3 Steps

    Don't want to read? Let Claude do it.

    Download the one-page setup guide, hand it to Claude, and have it install and configure Headroom for you.

    1. 1Download headroom-setup.md
    2. 2Open a new Claude conversation, attach the file, type: "follow these instructions"
    3. 3Claude installs Headroom and wraps the Claude CLI automatically

    One-Time Setup

    Two commands, then use Claude normally.

    Headroom is a Python CLI. If you already have Python and Claude Code installed, you can be wrapped in under a minute.

    Step 01

    Install Headroom

    Headroom is published as headroom-ai on PyPI. The [all] extra pulls the CLI and default compressors.

    pip install "headroom-ai[all]"

    Step 02

    Wrap Claude

    This puts Headroom between your terminal and the Claude CLI. Every prompt you send is pre-compressed before it hits the model.

    headroom wrap claude

    Step 03

    Work normally

    Keep using Claude Code exactly as you do now. Headroom strips boilerplate, duplicate file snippets, and low-signal context automatically.

    # Use Claude Code the same way you always have
    claude

    Step 04

    Watch the savings

    Headroom reports how many tokens were removed and how much context was preserved. Same answers, fewer dollars spent.

    # Headroom ships with a built-in dashboard
    headroom dashboard

    Daily Use

    Once it's wrapped, you don't think about it.

    1. 1Run `headroom wrap claude` in any terminal session where you want compression
    2. 2Use Claude Code exactly as you normally would — paste logs, ask questions, run agents
    3. 3Headroom strips redundant context before the prompt is sent to Anthropic
    4. 4Check the dashboard to see tokens removed and dollars saved over time

    What it compresses

    Where the tokens actually come from.

    • Stack traces and repeated log lines
    • Large file dumps and boilerplate code
    • Database query output and schemas
    • Verbose error messages
    • Multi-file diffs with unchanged hunks
    • System and application logs

    Try Headroom on your next Claude session.

    The project is free, open-source, and maintained by the Headroom team. The fastest way to start is the GitHub repo and the official docs.

    Want more tool recommendations like this? Subscribe on YouTube.