What problem does it solve?
NanoClaw lacks built-in visibility into agent group performance, session status, and system activity, making it difficult for instructors and administrators of academic AI classrooms to monitor and debug their deployments without manual log inspection.
Core Features & Use Cases
- Real-time System Monitoring: Tracks agent groups, active sessions, channel status, user privileges, token usage, context window consumption, and message activity in a single unified interface.
- Live Log Streaming: Tails the NanoClaw log file and streams new entries to the dashboard in real time for rapid issue debugging.
- Use Case: An instructor running a multi-agent AI classroom can use this dashboard to quickly identify offline agents, track token costs across student groups, and resolve session issues without parsing raw log files.
Quick Start
Use the add-dashboard skill to install and configure a real-time monitoring dashboard for your NanoClaw classroom deployment that displays agent metrics, token usage, and live log streams.