IoA provides a flexible architecture for defining, coordinating, and executing multiple AI agents in a unified workflow. Key components include a planner that decomposes high-level goals, an executor that dispatches tasks to specialized agents, and memory modules for context management. It supports integration with external APIs and toolkits, real-time monitoring, and customizable skill plugins. Developers can rapidly prototype autonomous assistants, customer support bots, and data processing pipelines by combining ready-made modules or extending them with custom logic.

MONAI, or Medical Open Network for AI, is an open-source framework designed for deep learning in healthcare imaging. It provides robust tools and libraries for healthcare professionals, enabling them to develop, train, and deploy AI-driven solutions quickly and efficiently. Its modular architecture ensures that users can customize their workflows while leveraging existing components, leading to more efficient research and clinical collaboration. With MONAI, developers can handle diverse medical datasets, facilitating advancements in medical imaging technologies.