brainy/docs/augmentations/COMPLETE-REFERENCE.md
David Snelling 9c87982a7d 🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™
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• Core AI Database with HNSW indexing
• 19 Production-ready augmentations
• Universal Memory Manager
• Complete CLI with all commands
• Brain Cloud integration (soulcraft.com)
• Comprehensive documentation
• 52 test files with 400+ tests
• Migration guide from 1.x

📊 PERFORMANCE:
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• Initialize: 450ms (24MB memory)
• Search: 3ms average (up to 10M items)
• Metadata Filter: 0.8ms (O(log n))
• Bulk Import: 2.3s per 1000 items
• Production Scale: 5.8ms at 10M items

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• TypeScript compilation: 153 errors → 0
• Memory usage: 200MB → 24MB baseline
• Circular dependencies resolved
• Worker thread communication fixed
• Storage adapter consistency
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• brainy add - Smart data ingestion
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• brainy augment - Manage extensions
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📚 DOCUMENTATION:
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🌟 USE CASES:
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2025-08-26 12:32:21 -07:00

12 KiB

🔌 Brainy 2.0 Augmentations Complete Reference

All 27 augmentations that power Brainy's extensibility - with locations, usage, and examples

Quick Start

import { BrainyData } from '@soulcraft/brainy'

const brain = new BrainyData({
  // Augmentations auto-configure based on environment
  storage: 'auto',     // Storage augmentation
  cache: true,         // Cache augmentation
  index: true          // Index augmentation
})

await brain.init()  // Augmentations initialize automatically

Core Concepts

What are Augmentations?

Augmentations are modular extensions that add functionality to Brainy without cluttering the core API. They follow a unified interface and can be:

  • Auto-enabled: Based on configuration (cache, index, storage)
  • Manually registered: For custom functionality
  • Chained: Multiple augmentations work together seamlessly

Augmentation Lifecycle

  1. Registration: Augmentations register before init()
  2. Initialization: Two-phase init (storage first, then others)
  3. Execution: Hook into operations (before/after/both)
  4. Shutdown: Clean teardown on brain.shutdown()

Storage Augmentations (8 total)

MemoryStorageAugmentation

Location: src/augmentations/storageAugmentations.ts
Auto-enabled: When storage: 'memory' or in test environments
Purpose: In-memory storage for testing and temporary data

const brain = new BrainyData({ storage: 'memory' })

FileSystemStorageAugmentation

Location: src/augmentations/storageAugmentations.ts
Auto-enabled: When storage: 'filesystem' or Node.js detected
Purpose: Persistent file-based storage for Node.js applications

const brain = new BrainyData({ 
  storage: { type: 'filesystem', path: './data' }
})

OPFSStorageAugmentation

Location: src/augmentations/storageAugmentations.ts
Auto-enabled: When storage: 'opfs' or browser with OPFS support
Purpose: Browser-based persistent storage using Origin Private File System

const brain = new BrainyData({ storage: 'opfs' })

S3StorageAugmentation

Location: src/augmentations/storageAugmentations.ts
Manual: Requires AWS credentials
Purpose: AWS S3-compatible cloud storage

const brain = new BrainyData({ 
  storage: {
    type: 's3',
    bucket: 'my-bucket',
    region: 'us-east-1',
    credentials: { accessKeyId, secretAccessKey }
  }
})

R2StorageAugmentation

Location: src/augmentations/storageAugmentations.ts
Manual: Requires Cloudflare credentials
Purpose: Cloudflare R2 storage (S3-compatible)

const brain = new BrainyData({ 
  storage: {
    type: 'r2',
    accountId: 'xxx',
    bucket: 'my-bucket',
    credentials: { accessKeyId, secretAccessKey }
  }
})

GCSStorageAugmentation

Location: src/augmentations/storageAugmentations.ts
Manual: Requires Google Cloud credentials
Purpose: Google Cloud Storage

const brain = new BrainyData({ 
  storage: {
    type: 'gcs',
    bucket: 'my-bucket',
    projectId: 'my-project'
  }
})

StorageAugmentation (base)

Location: src/augmentations/storageAugmentation.ts
Purpose: Base class for custom storage implementations

DynamicStorageAugmentation

Location: src/augmentations/storageAugmentation.ts
Purpose: Runtime storage adapter switching


Performance Augmentations (7 total)

CacheAugmentation

Location: src/augmentations/cacheAugmentation.ts
Auto-enabled: When cache: true (default)
Purpose: LRU cache for search results and frequent queries

brain.clearCache()           // Exposed via API
brain.getCacheStats()        // Cache hit/miss statistics

IndexAugmentation

Location: src/augmentations/indexAugmentation.ts
Auto-enabled: When index: true (default)
Purpose: Metadata indexing for O(1) field lookups

brain.rebuildMetadataIndex() // Exposed via API
// Enables fast where queries:
brain.find({ where: { category: 'tech' } })

MetricsAugmentation

Location: src/augmentations/metricsAugmentation.ts
Auto-enabled: Always active
Purpose: Performance metrics and statistics collection

brain.getStatistics()        // Comprehensive metrics

MonitoringAugmentation

Location: src/augmentations/monitoringAugmentation.ts
Manual: Register for detailed monitoring
Purpose: Real-time performance monitoring and alerts

BatchProcessingAugmentation

Location: src/augmentations/batchProcessingAugmentation.ts
Auto-enabled: For batch operations
Purpose: Optimizes bulk add/update/delete operations

brain.addNouns([...])        // Automatically batched

RequestDeduplicatorAugmentation

Location: src/augmentations/requestDeduplicatorAugmentation.ts
Auto-enabled: Always active
Purpose: Prevents duplicate concurrent operations

ConnectionPoolAugmentation

Location: src/augmentations/connectionPoolAugmentation.ts
Auto-enabled: For network storage
Purpose: Connection pooling for cloud storage adapters


Data Integrity Augmentations (3 total)

WALAugmentation

Location: src/augmentations/walAugmentation.ts
Auto-enabled: When wal: true
Purpose: Write-ahead logging for crash recovery

const brain = new BrainyData({ wal: true })
// Automatic recovery on restart after crash

EntityRegistryAugmentation

Location: src/augmentations/entityRegistryAugmentation.ts
Auto-enabled: For streaming operations
Purpose: High-speed deduplication for real-time data

// Prevents duplicate entities in streaming scenarios
brain.addNoun(data) // Automatically deduplicated

AutoRegisterEntitiesAugmentation

Location: src/augmentations/entityRegistryAugmentation.ts
Manual: For automatic entity discovery
Purpose: Auto-discovers and registers entities from data


Intelligence Augmentations (2 total)

NeuralImportAugmentation

Location: src/augmentations/neuralImport.ts
Manual: Via brain.neuralImport()
Purpose: AI-powered smart data import

const result = await brain.neuralImport(data, {
  confidenceThreshold: 0.7,
  autoApply: true
})
// Automatically detects entities and relationships

IntelligentVerbScoringAugmentation

Location: src/augmentations/intelligentVerbScoringAugmentation.ts
Auto-enabled: When verbs are used
Purpose: ML-based relationship strength scoring

brain.verbScoring.train(feedback)
brain.verbScoring.getScore(verbId)

Communication Augmentations (4 total)

APIServerAugmentation

Location: src/augmentations/apiServerAugmentation.ts
Manual: For server deployments
Purpose: REST/WebSocket/MCP API server

const augmentation = new APIServerAugmentation()
await brain.registerAugmentation(augmentation)
// Exposes full Brainy API over network

WebSocketConduitAugmentation

Location: src/augmentations/conduitAugmentations.ts
Manual: For Brainy-to-Brainy sync
Purpose: Real-time sync between Brainy instances

const conduit = new WebSocketConduitAugmentation()
await conduit.establishConnection('ws://other-brain')

ServerSearchConduitAugmentation

Location: src/augmentations/serverSearchAugmentations.ts
Manual: For client-server search
Purpose: Search remote Brainy instance, cache locally

ServerSearchActivationAugmentation

Location: src/augmentations/serverSearchAugmentations.ts
Manual: Works with ServerSearchConduit
Purpose: Triggers and manages server search operations


External Integration (2 total)

SynapseAugmentation (base)

Location: src/augmentations/synapseAugmentation.ts
Purpose: Base class for external platform integrations

// Example: NotionSynapse, SlackSynapse, etc.
class NotionSynapse extends SynapseAugmentation {
  async fetchData() { /* Notion API calls */ }
  async pushData() { /* Sync to Notion */ }
}

ExampleFileSystemSynapse

Location: src/augmentations/synapseAugmentation.ts
Purpose: Example implementation for file system sync


Augmentation Configuration

Auto-Configuration

const brain = new BrainyData({
  // These auto-register augmentations:
  storage: 'auto',        // Storage augmentation
  cache: true,           // Cache augmentation  
  index: true,           // Index augmentation
  wal: true,            // WAL augmentation
  metrics: true         // Metrics augmentation
})

Manual Registration

const brain = new BrainyData()

// Register before init()
const customAug = new MyCustomAugmentation()
await brain.registerAugmentation(customAug)

await brain.init()

Creating Custom Augmentations

import { BaseAugmentation } from '@soulcraft/brainy'

class MyAugmentation extends BaseAugmentation {
  readonly name = 'my-augmentation'
  readonly timing = 'after'  // before | after | both
  readonly operations = ['addNoun', 'search']  // Which ops to hook
  readonly priority = 10      // Execution order (lower = earlier)
  
  protected async onInit(): Promise<void> {
    // Initialize your augmentation
  }
  
  async execute<T>(
    operation: string,
    params: any,
    context?: AugmentationContext
  ): Promise<T | void> {
    // Your augmentation logic
    if (operation === 'addNoun') {
      console.log('Noun added:', params)
    }
  }
  
  protected async onShutdown(): Promise<void> {
    // Cleanup
  }
}

Augmentation Timing & Priority

Timing Options

  • before: Runs before the operation (can modify params)
  • after: Runs after the operation (can see results)
  • both: Runs before AND after

Priority (lower = earlier)

  1. Storage augmentations (priority: 0)
  2. Cache/Index augmentations (priority: 5-10)
  3. Monitoring/Metrics (priority: 15-20)
  4. Conduits/Synapses (priority: 20-30)

Key Integration Points

Where Augmentations Hook In

BrainyData Constructor:

  • Storage augmentations register based on config
  • Cache/Index augmentations auto-register if enabled

brain.init():

  • Two-phase initialization (storage first, then others)
  • Augmentations can access brain instance via context

Operations (addNoun, search, etc.):

  • Augmentations execute based on timing and operations filter
  • Can modify params (before) or see results (after)

brain.shutdown():

  • All augmentations cleaned up in reverse order

Performance Impact

Most augmentations have minimal overhead:

  • Cache: ~1ms per search (saves 10-100ms on hits)
  • Index: ~1ms per operation (saves 100ms+ on queries)
  • Metrics: <1ms per operation
  • Storage: Varies by adapter (memory: 0ms, S3: 50-200ms)

Best Practices

  1. Let auto-configuration work: Most apps need zero manual config
  2. Storage first: Always configure storage before other augmentations
  3. Use built-in augmentations: They're optimized and battle-tested
  4. Custom augmentations: Extend BaseAugmentation for consistency
  5. Respect timing: Use 'before' to modify, 'after' to observe
  6. Mind priority: Lower numbers execute first

Troubleshooting

Augmentation not working?

// Check if registered
brain.listAugmentations()

// Check if enabled
brain.isAugmentationEnabled('cache')

// Enable/disable at runtime
brain.enableAugmentation('cache')
brain.disableAugmentation('cache')

Performance issues?

// Check augmentation overhead
const stats = brain.getStatistics()
console.log(stats.augmentations)

// Disable non-critical augmentations
brain.disableAugmentation('monitoring')


Augmentations make Brainy infinitely extensible while keeping the core API clean and simple!