Self-Optimization Overview Implements the SONA (Self-Optimizing Neural Architecture) adaptation cycle with sub-millisecond weight updates, EWC++ to prevent catastrophic forgetting, and a ReasoningBank for trajectory-based learning. When to Use - After task completion to extract and persist learnings - Improving routing and agent selection over time - Adapting to new project patterns without forgetting old ones - Building cross-session intelligence SONA Cycle 1. Extract Patterns - Mine execution data for recurring patterns 2. RETRIEVE - Search ReasoningBank for matching trajectories 3. JUDGE -…