High-level technical diagram

Ball-E's architecture is designed for personalization, security, and extensibility:

1. Secure Data Ingestion & Integration Layer:

   • Connectors for various data sources (OAuth for calendars/email, APIs for financial institutions, secure data uploads).

   • Emphasis on secure, permissioned access. Data is encrypted both in transit and at rest.

   • (Potential) Intract Persona Integration: Leveraging decentralized identity concepts for user control and data provenance, potentially using frameworks like Intract if suitable for managing cross-platform identity and permissions securely.

2. Personalization Engine & Knowledge Graph:

   • Builds and maintains a dynamic, multi-dimensional profile of the user based on integrated data and interactions.

   • Utilizes machine learning to understand preferences, habits, relationships, priorities, and goals.

   • Constructs a personal knowledge graph connecting entities like contacts, projects, places, and topics relevant to the user.

3. Memory System (Short-Term & Long-Term):

   • Short-Term: Maintains conversational context, ongoing task status, and immediate user focus.

   • Long-Term: Securely stores historical interaction data, learned preferences, successful/failed task outcomes, and evolving user goals. Utilizes privacy-preserving techniques (e.g., secure vaults, potential use of TEEs for sensitive computations) to ensure data confidentiality while enabling learning.

4. Agent Orchestration Engine:

   • Interprets user requests or proactive triggers.

   • Selects and coordinates the appropriate specialized agents (Travel, Finance, etc.).

   • Facilitates inter-agent communication and data sharing for complex, multi-step tasks.

   • Manages task execution flow and monitors progress.

5. Specialized Agent Modules:

   • Containerized, independently deployable AI models and logic for specific domains (Scheduling, Travel, Finance, etc.).

   • Each agent possesses specific tools, APIs, and knowledge bases relevant to its function.

6. Action & Execution Layer:

   • Interacts with external services (booking platforms, email APIs, financial institutions) via secure APIs.

   • Strict Permission Model: Requires explicit user consent or pre-configured authorization for any action involving external execution (e.g., booking a flight, sending an email, making a transaction). Digital signatures or multi-factor authentication may be used for critical actions.

   • Utilizes TEEs (Trusted Execution Environments) where possible for computations involving highly sensitive data (e.g., decrypting financial data ephemerally for analysis).

This architecture prioritizes building a deep understanding of the user within a secure framework, enabling complex, autonomous actions across various facets of their life.