Private by default
Measure your AI usage. Locally.
AI Meter measures token usage across your local coding agents and estimates the associated electricity and direct cooling-water use. No accounts. No usage data leaves your Mac.
Download for macOS ↓View on GitHub ↗
INSTALL FROM TERMINAL
$ curl -fsSL https://ai-meter.app/install.sh | sh
●Reads local provider files. The only network request is a public update check.
THE ACTUAL APPMACOS · LOCAL ONLY
TRANSPARENT ESTIMATION
From measured tokens to estimated impact.
AI Meter follows a SCI for AI-aligned consumer boundary. These are local scenarios based on published research—not measurements from OpenAI, Anthropic, or their data centers.
01 / USAGE#
Provider-reported tokens
Codex, Claude Code, Cursor, OpenCode, and Gemini CLI token counts are read from local records, deduplicated, and combined on your Mac.
02 / ELECTRICITY⚡
Tokens ÷ 1M × 0.39 kWh
The default inference factor is 0.39 facility kWh per million tokens, with an indicative 0.20–0.75 kWh uncertainty range.
03 / WATER◒
Energy ÷ PUE × WUE
Direct cooling water uses a 1.20 PUE and 0.45 L per IT kWh site WUE. Both assumptions are adjustable inside AI Meter.
What is excluded: model training, embodied hardware, off-site electricity water, grid carbon, networking, and user-device energy.
Read the full methodology ↗