Multi-agent frameworks offer a compelling pathway to disrupt AI by sharing intelligence across numerous components. This paradigm contrasts with traditional centralized AI, where a single model processes data. In multi-agent systems, decentralized agents interact to achieve shared goals, harnessing the wisdom of the aggregate intelligence. This fra