Architecture Overview

Design Principles

Thor is built on the following foundational principles:

• Modularity: Thor's architecture is designed to be modular, allowing parts of the system to be swapped, extended, or maintained independently.

• Performance: Leveraging Rust's zero-cost abstractions and Golang's efficient concurrency, Thor aims for high-speed execution with low resource consumption.

• Safety: Rust's ownership model ensures memory safety, while Golang's garbage collection provides runtime safety, making Thor robust against common programming errors.

• Scalability: Architected to scale both vertically and horizontally, Thor can handle increasing loads with minimal architectural changes.

System Components

• Core Engine: The heart of Thor where AI logic, processing, and decision-making occur. It includes machine learning models, data processing pipelines, and state management.

• API Layer: Facilitates communication between Thor's internals and external systems, primarily through RESTful and gRPC interfaces.

• Data Models: Defines schemas for data handling, ensuring consistency and efficiency in data flow across Thor's components.

• Plugin System: Allows for dynamic extension of Thor's capabilities without altering the core codebase.