Multi-agent architectures offer a compelling pathway to democratize AI by sharing intelligence across numerous agents. This model contrasts with traditional centralized AI, where a central model analyzes data. In multi-agent systems, decentralized agents communicate to achieve common goals, exploiting the wisdom of the aggregate intelligence. This