Multi-AI Agent systems

Multi-AI Agent systems are distributed computing architectures where multiple autonomous artificial intelligence agents collaborate, coordinate, and interact to solve complex problems that exceed the capabilities of individual agents. These systems enable specialized AI agents to work together through defined communication protocols, sharing information, resources, and decision-making responsibilities across networked environments. Each agent maintains its own knowledge base, reasoning capabilities, and behavioral patterns while contributing to collective intelligence through emergent behaviors and coordinated actions. Multi-AI agent systems demonstrate superior performance in dynamic environments requiring parallel processing, fault tolerance, and scalable problem-solving approaches, making them essential for applications in robotics swarms, distributed computing, smart cities, and autonomous vehicle networks.