reasoningbank-adaptive-learning-with-agentdb

Implement adaptive learning with ReasoningBank and AgentDB for trajectory tracking, verdict judgment, memory distillation, and pattern recognition.

When to Use

• Build self-learning agents
• Optimize decision-making through experience
• Implement meta-cognitive systems
• Track and improve reasoning patterns

Quick Start

npm install reasoningbank-agentdb
npx ts-node setup-reasoningbank.ts

5-Phase Workflow

1. Initialize ReasoningBank (1-2 hrs) - Setup tracking system
2. Track Trajectories (2-3 hrs) - Record decisions and reasoning
3. Judge Verdicts (2-3 hrs) - Evaluate decision quality
4. Distill Memory (2-3 hrs) - Extract learned patterns
5. Apply Learning (1-2 hrs) - Improve future decisions

Components

• Trajectory Tracking: Record decision paths
• Verdict Judgment: Evaluate outcomes
• Memory Distillation: Pattern extraction
• Pattern Application: Enhanced reasoning

Success Metrics

• Tracking accuracy > 95%
• Verdict accuracy > 90%
• Decision quality improves
• 150x faster processing

Agents

• ml-developer: System design
• safla-neural: Pattern learning
• performance-analyzer: Evaluation

Duration

8-10 hours