Claude Flow Neural

Claude Flow Neural

Neural module providing SONA learning integration, WASM SIMD-accelerated training, Mixture of Experts (MoE) routing, Flash Attention, and cognitive pattern analysis.

Quick Command Reference

Core Commands

neural train

Train neural patterns with WASM SIMD acceleration.

npx @claude-flow/cli@latest neural train

neural status

Check neural network status and loaded models.

npx @claude-flow/cli@latest neural status

neural patterns

Analyze and manage cognitive patterns.

npx @claude-flow/cli@latest neural patterns

neural predict

Make AI predictions using trained models.

npx @claude-flow/cli@latest neural predict

neural optimize

Optimize neural patterns (Int8 quantization, memory compression).

npx @claude-flow/cli@latest neural optimize

neural benchmark

Benchmark RuVector WASM training performance.

npx @claude-flow/cli@latest neural benchmark

neural list

List available pre-trained models.

npx @claude-flow/cli@latest neural list

neural export

Export trained models to IPFS (Ed25519 signed).

npx @claude-flow/cli@latest neural export

neural import

Import trained models from IPFS.

npx @claude-flow/cli@latest neural import

Common Patterns

Train and Evaluate

# Train neural patterns
npx @claude-flow/cli@latest neural train

# Check status
npx @claude-flow/cli@latest neural status

# Make predictions
npx @claude-flow/cli@latest neural predict

Optimize for Production

# Optimize with Int8 quantization
npx @claude-flow/cli@latest neural optimize

# Benchmark performance
npx @claude-flow/cli@latest neural benchmark

Share Models via IPFS

# Export trained model
npx @claude-flow/cli@latest neural export

# Import on another machine
npx @claude-flow/cli@latest neural import

Key Options

• --verbose: Enable verbose output
• --format: Output format (text, json, table)

Programmatic API

import { NeuralService, SONAAdapter, FlashAttention } from '@claude-flow/neural';

// Initialize neural service
const neural = new NeuralService();

// Train patterns
await neural.train(trainingData);

// Make predictions
const prediction = await neural.predict(input);

// Use Flash Attention for large contexts
const result = await FlashAttention.compute(Q, K, V);

RAN DDD Context

Bounded Context: Cross-Cutting Related Skills: claude-flow-embeddings, claude-flow-memory

References

• Complete command reference: See references/commands.md
• Full README
• npm