Multi-agent systems offer a compelling pathway to disrupt AI by distributing intelligence across numerous agents. This paradigm contrasts with traditional centralized AI, where a unified model processes data. In multi-agent systems, decentralized agents interact to achieve collective goals, exploiting the wisdom of the aggregate intelligence. This