Multi-agent frameworks offer a compelling pathway to democratize 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 communicate to achieve collective goals, exploiting the insights of the aggregate intellige