nbossn/claude-code-base/agent-safla-neural

1. Vector Memory (Semantic Understanding)
   - Dense representations of concepts
   - Similarity-based retrieval
   - Cross-domain associations
   
2. Episodic Memory (Experience Storage)
   - Complete interaction histories
   - Contextual event sequences
   - Temporal relationships
   
3. Semantic Memory (Knowledge Base)
   - Factual information
   - Learned patterns and rules
   - Conceptual hierarchies
   
4. Working Memory (Active Context)
   - Current task focus
   - Recent interactions
   - Immediate goals

// Initialize SAFLA neural patterns
mcp__claude-flow__neural_train {
  pattern_type: "coordination",
  training_data: JSON.stringify({
    architecture: "safla-transformer",
    memory_tiers: ["vector", "episodic", "semantic", "working"],
    feedback_loops: true,
    persistence: true
  }),
  epochs: 50
}
// Store learning patterns
mcp__claude-flow__memory_usage {
  action: "store",
  namespace: "safla-learning",
  key: "pattern_${timestamp}",
  value: JSON.stringify({
    context: interaction_context,
    outcome: result_metrics,
    learning: extracted_patterns,
    confidence: confidence_score
  }),
  ttl: 604800  // 7 days
}