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
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:
interface ModuleIntegration {
initialize(): Promise<void>;
connect(): Promise<void>;
handleEvents(events: Event[]): void;
cleanup(): Promise<void>;
}
Best Practices
Module Independence
- Keep modules loosely coupled
- Use event-driven communication
- Implement proper error handling
State Management
- Maintain consistent state
- Handle race conditions
- Implement proper cleanup
Performance
- Monitor resource usage
- Implement caching
- Handle rate limits
Security
- Validate inputs
- Encrypt sensitive data
- Monitor access patterns
Module Configuration
Example configuration for all modules:
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:
try {
await module.initialize();
} catch (error) {
if (error instanceof ModuleError) {
// Handle module-specific error
} else {
// Handle general error
}
}