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.

AI Meter macOS widget showing local token usage, human-scale electricity and water equivalents, Cursor support, and an interactive usage chart

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