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General Settings

Open Settings → General to configure app-wide preferences that affect how Tarsk looks and runs.

Adjust the Font size slider to scale text across the app. On mobile viewports, Tarsk applies an additional multiplier so text remains readable on smaller screens. Click Reset to restore the default size.

Set the Maximum turn count to limit how many agent tool-call rounds a single response can use. This helps control runaway loops on complex tasks. Leave at the default for most work; lower it when you want tighter control over agent autonomy.

Choose the speech recognition model used by the microphone button in chat:

OptionDescription
StandardDefault Whisper model (~75 MB download on first use)
TinySmaller, faster model with slightly lower accuracy

The model is downloaded once and cached locally. Speech recognition runs entirely in your browser via WebAssembly — no audio is sent to external servers.

Controls which network interfaces the Tarsk API server listens on:

ModeBehaviour
LocalServer accepts connections from localhost only (default)
NetworkServer accepts connections from other devices on your LAN

When Network mode is enabled, Tarsk displays the URLs you can use from a phone, tablet, or another computer (e.g. http://192.168.1.42:641).

  1. Run Tarsk on your desktop with Network bind mode enabled.
  2. On your phone or tablet, download the Tarsk app from the App Store, scan the QR Code, or enter the IP Address manually.
  3. If the app cannot reach the server (e.g. after a restart), the Connect to Server dialog lets you enter the server URL manually.

The responsive web UI adapts to mobile screens — collapsible sidebar, scrollable tabs, and adjusted font scaling. See Installation for CLI --server mode if you want a headless server without opening a browser.

For the native mobile app with QR code scanning, see the Mobile App guide.

  • Mobile App — native iOS and Android app, QR code connection
  • Installation — CLI flags including --server
  • Account — prompt balance
  • Chat — speech input in the chat interface