Multi-Agent AI Systems Gain Traction for Complex Problem Solving

Multi-agent systems use specialized AI agents that collaborate to tackle complex tasks beyond single-model capabilities. Key components include communication layers, task decomposition, and coordination mechanisms. Real-world applications span software development, scientific research, and cybersecurity.