Multi-agent systems offer a compelling pathway to democratize AI by sharing intelligence across numerous entities. This paradigm contrasts with traditional centralized AI, where a unified model interprets data. In multi-agent systems, independent agents communicate to achieve shared goals, leveraging the knowledge of the aggregate intelligence. Thi