Multi-agent frameworks offer a compelling pathway to empower AI by delegating intelligence across numerous components. This paradigm contrasts with traditional centralized AI, where a central model interprets data. In multi-agent systems, independent agents collaborate to achieve shared goals, harnessing the knowledge of the aggregate intelligence.