Multi-agent architectures offer a compelling pathway to empower AI by sharing intelligence across numerous components. This paradigm contrasts with traditional centralized AI, where a central model processes data. In multi-agent systems, independent agents communicate to achieve collective goals, exploiting the wisdom of the combined intelligence.