reasoningbank-intelligence

Enables AI agents to learn, recognize patterns, and improve strategies over time.

• Adaptive learning from task experiences
• Pattern recognition and strategy optimization
• Meta-cognitive self-improvement
• Continuous learning and refinement

• Recognizes patterns from task outcomes
• Compares and recommends optimal strategies
• Supports meta-learning and transfer learning
• Enables auto-learning with confidence thresholds
• Stores and retrieves experiences with context
• Uses vector search for semantic pattern matching
• Tracks learning effectiveness and improvement
• Integrates with AgentDB for persistence

1. 1.Initialize ReasoningBank with persistence and settings
2. 2.Record task outcomes with context and metrics
3. 3.Query or recommend strategies based on context
4. 4.Enable auto-learning with confidence and frequency thresholds
5. 5.Review learning metrics and audit patterns regularly