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Core Modules Overview

System Components

Project X consists of several core modules that work together to create a seamless, immersive experience.

1. ElizaOS

The central persona engine that manages character personalities and interactions. Learn more about ElizaOS

2. LumaLabs

Automated video generation system for visual content creation. Learn more about LumaLabs

3. Kaito AI Analytics

Real-time analysis engine for market movements and social signals. Learn more about Kaito AI

4. EchoChambers

Autonomous Twitter Spaces management and engagement system. Learn more about EchoChambers

5. Bland.AI Integration

Voice synthesis and phone call management system. Learn more about Bland.AI Integration

Module Architecture

mermaid
graph TD
    A[ElizaOS] --> B[Core Hub]
    B --> C[LumaLabs]
    B --> D[Kaito AI]
    B --> E[EchoChambers]
    B --> F[Bland.AI]
    G[Quantum State] --> B

Integration Points

Each module provides specific integration points:

typescript
interface ModuleIntegration {
  initialize(): Promise<void>;
  connect(): Promise<void>;
  handleEvents(events: Event[]): void;
  cleanup(): Promise<void>;
}

Best Practices

  1. Module Independence

    • Keep modules loosely coupled
    • Use event-driven communication
    • Implement proper error handling
  2. State Management

    • Maintain consistent state
    • Handle race conditions
    • Implement proper cleanup
  3. Performance

    • Monitor resource usage
    • Implement caching
    • Handle rate limits
  4. Security

    • Validate inputs
    • Encrypt sensitive data
    • Monitor access patterns

Module Configuration

Example configuration for all modules:

yaml
elizaos:
  personality_switching: true
  context_awareness: true

lumalabs:
  video_quality: high
  max_duration: 15

kaito:
  analysis_interval: 60
  alert_threshold: 0.8

echochambers:
  auto_schedule: true
  engagement_threshold: 0.7

bland_ai:
  voice_quality: high
  call_timeout: 300
  model: neural

Error Handling

Implement proper error handling for each module:

typescript
try {
  await module.initialize();
} catch (error) {
  if (error instanceof ModuleError) {
    // Handle module-specific error
  } else {
    // Handle general error
  }
}

Next Steps

  1. Set up ElizaOS
  2. Configure LumaLabs
  3. Initialize Kaito AI
  4. Set up EchoChambers
  5. Configure Twilio

Released under the MIT License.