adaptive-intelligence

Self-healing AI plugin execution manages errors by classifying them, retrying operations, and implementing graceful degradation. When specific inputs cause failures, the system learns to avoid them or apply workarounds to improve reliability.

A behavioral layer for AI plugins observes, learns from, and improves plugin execution over time. You need one when your system must adapt to user preferences and recover from errors autonomously to maintain efficiency.

To add event capture hooks, use the adaptive intelligence engine to record structured events from every plugin execution. This captures behavioral data to detect patterns and manage errors.

Yes, this Skill operates via a dedicated SQLite database separate from the main Memory Engine. It specifically stores behavioral data and configurations to isolate learning modules from core memory.

No, adaptive intelligence requires no external dependencies to detect patterns and learn user preferences. It runs self-contained logic across multiple tiers using its dedicated SQLite database.

Self-healing capabilities for AI error management currently focus on classifying errors, retrying operations, and graceful degradation. Adaptive routing for optimized task performance is listed as a future capability and not yet available.