What problem does it solve?
This Skill provides a comprehensive overview of the AI Memory system's health, operational status, and key performance indicators, ensuring users are aware of its readiness and any potential issues.
Core Features & Use Cases
- System Health Check: Verifies the operational status of critical services like Qdrant, Embedding, and Monitoring.
- Collection Status: Reports the number of points and availability of memory collections (code-patterns, conventions, discussions).
- Sync & Freshness Monitoring: Displays the status of GitHub synchronization and the freshness of stored memories.
- Decay Distribution: Visualizes the temporal decay score distribution of sampled vectors.
- Feature Toggles: Shows the current state of key system features like Auto-update, Freshness, GitHub Sync, and Parzival.
- Use Case: Before starting a critical agent session, run
/aim-status to confirm all components are operational and memory is accessible, preventing potential failures due to system downtime.
Quick Start
Run /aim-status to get a full status report of the AI Memory system.