/neural-patterns

Neural Pattern Training

Purpose

Continuously improve coordination through neural network learning with SONA (Self-Optimizing Neural Architecture).

Pattern Persistence

Patterns are **automatically persisted** to disk:

• **Patterns**: `.claude-flow/neural/patterns.json`
• **Stats**: `.claude-flow/neural/stats.json`

Patterns survive process restarts and are loaded automatically on next session.

How Training Works

1. Automatic Learning

Every successful operation trains the neural networks:

• Edit patterns for different file types
• Search strategies that find results faster
• Task decomposition approaches
• Agent coordination patterns

2. Manual Training

# Train coordination patterns (50 epochs)
npx claude-flow neural train -p coordination -e 50

# Train optimization patterns with custom learning rate
npx claude-flow neural train -p optimization -l 0.005

# Quick training (10 epochs)
npx claude-flow neural train -e 10

3. Pattern Types

**Training Pattern Types:**

• `coordination` - Task coordination strategies (default)
• `optimization` - Performance optimization patterns
• `prediction` - Predictive preloading patterns

**Cognitive Patterns:**

• Convergent: Focused problem-solving
• Divergent: Creative exploration
• Lateral: Alternative approaches
• Systems: Holistic thinking
• Critical: Analytical evaluation
• Abstract: High-level design

4. Improvement Tracking

# Check neural system status
npx claude-flow neural status

Pattern Management

# List all persisted patterns
npx claude-flow neural patterns --action list

# Search patterns by query
npx claude-flow neural patterns --action list -q "error handling"

# Analyze patterns
npx claude-flow neural patterns --action analyze -q "coordination"

Performance Targets

| Metric | Target | |--------|--------| | SONA Adaptation | <0.05ms (achieved: ~2μs) | | Pattern Search | O(log n) with HNSW | | Memory Efficient | Circular buffers |

Benefits

• 🧠 Learns your coding style
• 📈 Improves with each use
• 🎯 Better task predictions
• ⚡ Faster coordination
• 💾 Patterns persist across sessions

CLI Reference

# Train neural patterns
npx claude-flow neural train -p coordination -e 50

# Check neural status
npx claude-flow neural status

# List patterns
npx claude-flow neural patterns --action list

# Search patterns
npx claude-flow neural patterns --action list -q "query"

# Analyze patterns
npx claude-flow neural patterns --action analyze -q "coordination"

Related Commands

• `neural train` - Train patterns with SONA
• `neural status` - Check neural system status
• `neural patterns` - List and search patterns
• `neural predict` - Make predictions using trained models