Multi-agent frameworks offer a compelling pathway to disrupt AI by distributing intelligence across numerous components. This model contrasts with traditional centralized AI, where a unified model analyzes data. In multi-agent systems, independent agents collaborate to achieve collective goals, exploiting the knowledge of the combined intelligence.