Multi-agent frameworks offer a compelling pathway to empower AI by distributing intelligence across numerous components. This approach contrasts with traditional centralized AI, where a unified model processes data. In multi-agent systems, decentralized agents collaborate to achieve common goals, exploiting the wisdom of the aggregate intelligence.