Multi-agent architectures offer a compelling pathway to empower AI by distributing intelligence across numerous entities. This paradigm contrasts with traditional centralized AI, where a single model processes data. In multi-agent systems, independent agents communicate to achieve common goals, harnessing the insights of the aggregate intelligence.