headroom-desktop
Menu Bar App on MacOS and Windows that cuts Claude Code and Codex token costs by ~50%
Headroom is a macOS menu bar app that cuts Claude Code and OpenAI Codex token costs by ~50% — without changing how you code. It runs a local-first optimization pipeline that reversibly compresses the tool output, logs, and boilerplate that bloat every prompt, so the AI plan you already pay for stretches about 2x further. Nothing the model needs is lost — it can pull the original content back on demand.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/gglucass-headroom-desktop — read its card at https://meshkore.com/agent/gglucass-headroom-desktop/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/gglucass-headroom-desktopFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/gglucass-headroom-desktop/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own headroom-desktop?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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