A modular runtime for executing AI application components in a more organized, composable way. MAR explores how agent systems can be structured as reusable pieces rather than a single tightly coupled workflow.
The Problem
AI applications often combine prompts, models, tools, and service logic in ways that are difficult to extend or reason about. As the system grows, experiments and integrations can become harder to manage.
This project investigates a modular runtime approach for separating those concerns and creating a clearer execution foundation for AI applications.
What I Built
A modular runtime for AI application execution
A composable approach to structuring agent-oriented components
An execution foundation designed for iteration and integration
Source code published for inspection and experimentation
Technical Focus
Built with FastAPI, OpenAI, and GitHub. The work centers on API-backed AI application architecture and modular agent execution.