Multi-agent frameworks offer a compelling pathway to democratize AI by sharing intelligence across numerous components. This approach contrasts with traditional centralized AI, where a single model interprets data. In multi-agent systems, independent agents communicate to achieve shared goals, harnessing the knowledge of the combined intelligence.