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TaskbarQuota

C# ★ 29 updated 3h ago

AI coding-tool usage in the Windows taskbar

TaskbarQuota is a Windows taskbar widget that automatically detects which AI coding tool you are actively using and shows your remaining quota or balance, switching between Cursor, Claude, Copilot, and others in about half a second.

C#WinUI 3Windowssetup: easycomplexity 2/5

TaskbarQuota is a small Windows desktop application that sits in your taskbar and shows you how much quota or usage you have left for whichever AI coding tool you are currently using. It supports Cursor, Claude, GitHub Copilot, Codex, Antigravity, OpenCode, and a few other tools, and it switches between them automatically as you switch focus on your machine.

The automatic detection works in two ways. When you are working in a desktop app like Cursor or VS Code, the tool reads which window is in the foreground and maps it to the right provider. When you are working in a terminal, it scans the running command-line processes to find active agents such as Claude Code or Codex CLI. If you switch from Cursor to a terminal session running Claude Code, the widget updates within about half a second to show Claude usage instead of Cursor usage.

The widget itself is a compact bar and percentage display injected into the Windows taskbar next to the notification area. Clicking it opens a small panel; opening the full dashboard shows all your providers at once, with quota windows, reset times, and cost or balance information where the relevant API returns that data. You can drag the widget to reposition it on the taskbar.

All of this runs locally with no cloud backend of its own. Usage data is fetched directly from each provider API using credentials it finds in the standard locations on your machine: Claude credentials from the .claude folder, GitHub tokens from environment variables, Cursor data from a local database file, and so on. Browser cookies for providers that require them are read in memory and not stored by the app. A plain JSON file at a known path holds any manually entered tokens.

The project is built with WinUI 3 (a Microsoft desktop UI framework) and requires Windows 10 or 11. Releases are available on the GitHub releases page. There is no installer wizard; download, extract, and run.

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