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    ngotrnghia1811

    Headroom

    v0.1.0Memory & Context
    opencode-headroom

    Context compression plugin for opencode — port of headroom with Kneedle adaptive-K, BM25 relevance scoring, and CCR reversibility

    GitHub stars

    0

    Monthly installs

    56

    16 in 7 days

    Composite scoreSCORE

    27.3

    Multi-signal model

    Last commit

    2 months ago

    2026-06-11

    Install and configure

    opencode.json

    Writes to this project's opencode.json — applies to this repository only.

    opencode.json

    {
      "$schema": "https://opencode.ai/config.json",
      "plugin": ["opencode-headroom@0.1.0"]
    }

    opencode loads npm dependencies through its embedded runtime on startup and caches them locally — no manual global install needed.

    Context compression plugin for opencode — port of headroom v0.24.0.

    Reduces token usage 60–95% on large tool outputs, logs, diffs, and search results — without losing information the LLM needs. Original content is cached locally (CCR) for on-demand retrieval.

    Quick start

    npm install @ngotrnghia1811/opencode-headroom
    
    // opencode.json
    {
      "plugin": ["@ngotrnghia1811/opencode-headroom"]
    }
    

    Documentation

    Document Description
    SETUP.md Installation, configuration, troubleshooting
    DEVELOPMENT-PLAN.md Full porting plan, architecture, implementation phases
    discrepancy.md Documented differences from upstream headroom v0.24.0
    headroom-learn-todo.md Design doc for deferred headroom-learn feature

    Tools provided

    • headroom_stats — session compression metrics (tokens saved, compressor hits)
    • headroom_retrieve(hash) — retrieve original content from CCR <<ccr:HASH>> markers

    Development

    bun install
    bun test              # 178 tests
    bun run typecheck     # bundle check
    

    License

    Apache 2.0