TrackNotch icon

TrackNotch

TrackNotch is a native macOS app that tracks LLM usage across providers such as Claude, OpenAI, Cursor, Codex, Anthropic API, and Google Gemini. It displays that status in the notch or menu bar and keeps monitoring local to the machine.

TrackNotch

TrackNotch

TrackNotch is a native macOS app for monitoring LLM usage from the menu bar or Mac notch. It is built to surface current usage and session status for providers including Claude, OpenAI, Cursor, Codex, Anthropic API, and Google Gemini without routing data through a proxy.

The app reads usage directly from providers' own files and APIs, with Claude Code context tracking based on local JSONL session files. The README emphasizes that all data stays local, API keys are stored in the macOS Keychain, and no telemetry or third-party services are used.

Features

Local-first monitoring

Reads usage directly from provider files and APIs so nothing leaves the machine unless you configure a provider request.

Multi-provider support

Tracks Claude Code, OpenAI API, Cursor, Codex, Anthropic API, and Google Gemini in one interface.

Context arc for Claude Code

Shows a live visual arc for the active Claude session's context window, based on Claude Code's local JSONL files.

Budget tracking

Supports monthly budget tracking for OpenAI and Anthropic when using the required admin-level keys.

Keychain-backed key storage

Stores API keys in macOS Keychain instead of plaintext files on disk.

Notch and menu bar UI

Opens from the notch with a springy animation and also works in the menu bar on non-notched Macs.

Use cases

  • Monitor LLM usage during development

    Use the live notch display to check Claude, OpenAI, Cursor, Codex, or Gemini usage while you are actively working in macOS.

  • Watch Claude session context

    Track Claude Code context fill level from local session files so you can see how close a conversation is to the model's context limit.

  • Review provider spend at a glance

    Set monthly budgets for OpenAI or Anthropic accounts when you have the required admin-level keys and want a quick spend check.

  • Use it on different Mac hardware

    Run the app on a non-notched Mac and keep the same workflow in the menu bar instead of the notch.

  • Sideload the current release

    Install from Releases and follow the one-time open-in-Finder flow when Gatekeeper blocks an unsigned build.

Pros and Cons

Pros

  • Tracks several major LLM providers in one place.
  • Keeps usage monitoring local by reading provider files and APIs directly.
  • Supports both notched and non-notched Macs.
  • Provides live Claude session context visualization.
  • Stores API keys in macOS Keychain.

Cons

  • Current builds are unsigned, so first launch requires a one-time Gatekeeper bypass.
  • Some tracking features depend on provider-specific admin keys or OAuth tokens.
  • Signed and notarized builds, auto-update, and onboarding are listed as roadmap items rather than finished features.

FAQ

What does TrackNotch do?

TrackNotch is a native macOS app that monitors LLM usage across providers such as Claude, OpenAI, Cursor, Codex, Anthropic API, and Google Gemini, then shows the current status in the notch or menu bar.

Which Macs does it support?

It is designed for macOS 13 (Ventura) or later and works on Apple Silicon and Intel Macs. On non-notched Macs, it sits in the menu bar instead of the notch.

How is it installed?

You download the latest DMG from GitHub Releases, drag TrackNotch into Applications, and on first launch use Finder's Open action because the current build is unsigned. The README says a signed and notarized build is planned.

Does TrackNotch send my data off the machine?

No. Claude Code context tracking uses local JSONL session files, while other provider tracking uses API keys or OAuth tokens that are stored in the macOS Keychain.

What is not finished yet?

The README lists Apple Developer ID signing and notarization, auto-update via Sparkle, first-launch onboarding, light-mode support, and crash logs as roadmap items.

Quick Facts

Category
Developer Tool
Platform
macOS 13 Ventura or later
Source
GitHub repository and README
Primary use
Track LLM usage in the notch or menu bar
Distribution
DMG download from GitHub Releases
License
MIT