Multi-agent architectures offer a compelling pathway to disrupt AI by delegating intelligence across numerous components. This model contrasts with traditional centralized AI, where a central model interprets data. In multi-agent systems, decentralized agents communicate to achieve collective goals, leveraging the knowledge of the aggregate intelli