brainy/docs/augmentations/README.md

Brainy Augmentations

Augmentations are the core extensibility mechanism in Brainy. They allow you to modify, enhance, and extend Brainy's behavior without changing the core code.

Core Principle: One Interface, Infinite Possibilities

Every augmentation implements the same simple BrainyAugmentation interface:

interface BrainyAugmentation {
  name: string
  timing: 'before' | 'after' | 'around' | 'replace'
  operations: string[]
  priority: number
  initialize(context): Promise<void>
  execute(operation, params, next): Promise<any>
}

This single interface can handle EVERYTHING - from adding AI capabilities to exposing APIs to replacing storage backends.

Available Augmentations

🧠 Data Processing

Augmentations that enhance how data is processed and stored.

Augmentation	Description	Timing	Status
NeuralImportAugmentation	AI-powered entity and relationship extraction	before	✅ Production
EntityRegistryAugmentation	High-performance entity deduplication	before	✅ Production
BatchProcessingAugmentation	Optimizes bulk operations	around	✅ Production
IntelligentVerbScoringAugmentation	Learns relationship importance over time	after	✅ Production

🔌 External Connections (Synapses)

Connect Brainy to external services and data sources.

Augmentation	Description	Timing	Status
NotionSynapse	Sync with Notion databases	after	📝 Example
SalesforceSynapse	Connect to Salesforce CRM	after	📝 Example
SlackSynapse	Import Slack conversations	after	📝 Example
GoogleDriveSynapse	Sync Google Drive documents	after	📝 Example

🌐 API Exposure

Expose Brainy through various protocols.

Augmentation	Description	Timing	Status
APIServerAugmentation	REST, WebSocket, and MCP server	after	✅ Production
GraphQLAugmentation	GraphQL API endpoint	after	🚧 Planned
gRPCAugmentation	gRPC service	after	🚧 Planned

💾 Storage Backends

Replace or enhance the storage layer.

Augmentation	Description	Timing	Status
S3StorageAugmentation	Use S3 as storage backend	replace	📝 Example
RedisAugmentation	Redis caching layer	around	📝 Example
PostgresAugmentation	PostgreSQL persistence	replace	📝 Example

🔄 Real-time & Sync

Handle real-time updates and synchronization.

Augmentation	Description	Timing	Status
WebSocketConduitAugmentation	WebSocket client connections	after	⚠️ Legacy
ServerSearchAugmentation	Connect to remote Brainy servers	after	⚠️ Legacy
TeamCoordinationAugmentation	Multi-agent synchronization	after	📝 Example

🛡️ Infrastructure

Core infrastructure and reliability features.

Augmentation	Description	Timing	Status
ConnectionPoolAugmentation	Optimize cloud storage connections	before	✅ Production
RequestDeduplicatorAugmentation	Prevent duplicate concurrent requests	before	✅ Production
TransactionAugmentation	ACID transaction support	around	🚧 Planned
CacheAugmentation	Multi-level caching	around	✅ Production

📊 Monitoring & Analytics

Track and analyze Brainy's behavior.

Augmentation	Description	Timing	Status
MetricsAugmentation	Prometheus metrics	after	📝 Example
LoggingAugmentation	Structured logging	after	📝 Example
TracingAugmentation	Distributed tracing	around	🚧 Planned

🤖 AI & Chat

AI-powered interfaces and chat capabilities.

Augmentation	Description	Timing	Status
ChatInterfaceAugmentation	Natural language interface	before	📝 Example
MCPAgentMemoryAugmentation	AI agent memory via MCP	after	📝 Example
LLMQueryAugmentation	LLM-enhanced queries	before	📝 Example

📈 Visualization

Visual representations of data.

Augmentation	Description	Timing	Status
GraphVisualizationAugmentation	Real-time graph visualization	after	📝 Example
DashboardAugmentation	Web-based dashboard	after	🚧 Planned

Status Legend

• ✅ Production: Fully implemented and tested
• 📝 Example: Example implementation available
• 🚧 Planned: On the roadmap
• ⚠️ Legacy: Being replaced by newer augmentations

Using Augmentations

Zero-Config Approach

const brain = new BrainyData()

// Just register augmentations - they work automatically!
brain.augmentations.register(new EntityRegistryAugmentation())
brain.augmentations.register(new APIServerAugmentation())

await brain.init()

With Configuration

const brain = new BrainyData()

brain.augmentations.register(
  new APIServerAugmentation({
    port: 8080,
    auth: { required: true }
  })
)

await brain.init()

Creating Custom Augmentations

See Creating Custom Augmentations for a complete guide.

Quick example:

class MyAugmentation extends BaseAugmentation {
  readonly name = 'my-augmentation'
  readonly timing = 'after'
  readonly operations = ['add', 'search']
  readonly priority = 50
  
  async execute<T>(operation: string, params: any, next: () => Promise<T>): Promise<T> {
    console.log(`Before ${operation}`)
    const result = await next()
    console.log(`After ${operation}`)
    return result
  }
}

Augmentation Timing

before

Executes before the main operation. Used for:

• Input validation
• Data transformation
• Authentication checks

after

Executes after the main operation. Used for:

• Broadcasting updates
• Syncing to external services
• Logging and metrics

around

Wraps the main operation. Used for:

• Transactions
• Caching
• Error handling

replace

Completely replaces the main operation. Used for:

• Alternative storage backends
• Mock implementations
• Proxy operations

Priority System

Higher numbers execute first:

• 100: Critical system operations
• 50: Performance optimizations
• 10: Enhancement features
• 1: Optional features

Related Documentation

• API Server Augmentation - Complete API server documentation
• Creating Augmentations - How to build your own
• Augmentation Examples - Real-world examples
• Architecture Overview - System architecture