panel

You can launch a local, zero-token dashboard to inspect tracker status and compiled memory. This lightweight panel server renders your data cockpit visually without invoking AI agents or requiring any API calls.

Yes, the local panel server reads threads_daily_tracker.json and compiled memory files to render a visual data cockpit. It provides quick dashboard-style access to posts, topics, and performance metrics locally.

No, the zero-token UI operates entirely offline without AI interactions. It relies on a lightweight Python server to read your tracker and memory data, keeping visual access independent of agent requests.

Using a local data cockpit is the best way to inspect compiled memory beforehand. It renders your tracker status visually, allowing you to review posts and topics locally before deciding to invoke deeper analysis.

The local panel is designed for offline inspection of tracker and memory data, meaning it does not process data through cloud AI. It serves as a preliminary visual cockpit, so deep AI analysis must be requested separately.

Yes, the panel relies on a lightweight Python server to render the data cockpit. This local environment reads your tracker JSON and compiled memory to display dashboard views without AI calls.