Agent Development Framework

1. Data Layer

• Data Ingestion: Aggregates data from multiple sources.

• Data Processing: Cleanses, transforms, and structures data for AI models.

• Perpetual Learning: Continuously updates the model with new insights.

2. Framework Layer

• Microservices: Modular services for scalability and reliability.

• Cloud Infrastructure:

  • Compute: Scalable instances for AI processing.

  • Storage: Secure and efficient data management.

  • Networking: Low-latency communication across services.

• Monitoring and Maintenance: Tools for real-time performance tracking and updates.

3. Accessibility Layer

• APIs: RESTful and GraphQL endpoints for integration.

• SDKs: Libraries for Python, JavaScript, Unity, and more.

• Webhooks: Event-driven interactions for real-time updates.

• GUI: Intuitive interface for non-technical users.

• Plugins: Extensions for platforms like Unity, Unreal Engine, and Discord.