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