TokenTracker

What it does: TokenTracker monitors token consumption across more than 25 AI coding assistants—including Claude Code, Cursor, Copilot, Kimi, CodeBuddy, and many others. It gives you a unified view through a real-time dashboard, a macOS menu bar indicator, and desktop widgets. All data stays local to protect your privacy.

Advantages: It’s zero-config, available as an npm package and CLI, supports a wide range of tools, works offline, and puts privacy first with a local-first design. The dashboard offers clear usage visualization, helping individuals and teams track and forecast AI-related expenses—all for free and open source.

Disadvantages / Risks: The tool focuses on macOS, so Windows and Linux users may miss key features. As a community-driven project, long-term upkeep and support depend on contributor activity. Token counts may become inaccurate if the monitored AI tools change their internal behaviors.

Cost & Deployment: Completely free, no API keys or accounts needed. Install via npm or clone the GitHub repo. Ideal for macOS developers who use multiple AI coding tools daily and want to track spending without sending data anywhere else.