Designing Scalable Multi-Agent AI Systems: Leveraging Domain-Driven Design and Event Storming

Multi-Agent AI Systems (MAS) are at the forefront of addressing complex real-world challenges. With a significant uptick expected in their adoption, it’s crucial to establish effective design methodologies. By merging Event Storming with Domain-Driven Design (DDD), we can enhance the structure and efficacy of these systems.

Grasping the Fundamentals

Multi-Agent AI Systems (MAS)

MAS are intricate computerized setups comprising intelligent agents that collaborate. These systems excel at tackling issues beyond the scope of individual agents or monolithic structures. Noteworthy traits of MAS include:

– Interaction: Agents communicate and cooperate to achieve shared goals.

– Autonomy: Each agent possesses independent decision-making capabilities.

– Emergent Behavior: The collective actions of agents lead to system-level outcomes.

Stay tuned for insights on optimizing MAS design through the fusion of Event Storming and DDD.