Multi-Agent AI Systems (MAS) are becoming increasingly crucial for tackling complex, real-world problems. With projections indicating that 82% of organizations plan to integrate AI agents and 25% of enterprises deploying them by 2025, it’s essential to have robust methodologies for designing these systems. In this post, we’ll look at how blending Event Storming with Domain-Driven Design (DDD) can help build more effective and well-structured Multi-Agent Systems.

Understanding the Core Concepts

Multi-Agent AI Systems (MAS)

Multi-Agent AI Systems are computerized systems composed of multiple interacting intelligent agents. They are designed to solve problems that are difficult or impossible for individual agents or monolithic systems to address. Key characteristics of MAS include: