Agent Activity Dashboard

You can track AI agent activities in real-time by logging events via an API or CLI and viewing them on a web dashboard. This Skill visualizes current work, completed tasks, and historical activity streams to help monitor productivity patterns.

Yes, you can log discrete AI agent tasks with specific categories and descriptions. This allows you to visualize statistics and category breakdowns to understand agent engagement across different work types like coding or research.

Yes, the agent activity dashboard integrates directly with SQLite for data persistence. This ensures your logged activities, historical streams, and planned work items are stored reliably and remain accessible for continuous monitoring.

You monitor your AI agent's current work by accessing the provided web interface. The dashboard displays real-time activity tracking, showing exactly which tasks the agent is handling at any given moment alongside recently completed items.

Yes, Express is required to serve the web interface used for activity tracking. Combined with SQLite for data storage, these dependencies power the dashboard's ability to visualize statistics and manage planned work items.

The best way to visualize historical AI agent activity streams is by logging events via the API or CLI into the dashboard. It automatically aggregates the persisted SQLite data to display statistics and category breakdowns over time.