Introduction Artificial Intelligence is rapidly evolving beyond single-model systems into a more advanced paradigm—Multi-Agent AI. In this model, multiple intelligent agents collaborate, communicate, and make decisions collectively to solve complex problems. Unlike traditional AI systems that operate in isolation, multi-agent systems mimic real-world teamwork, enabling scalability, adaptability, and efficiency at unprecedented levels. What is Multi-Agent AI? Multi-Agent AI refers to a system composed of multiple autonomous agents that interact with each other and their environment. Each agent has its own role, capabilities, and objectives, but they work together to achieve a larger goal. These agents can: Communicate and share information Coordinate actions dynamically Learn from each other Adapt to changing environments This collaborative intelligence makes multi-agent systems ideal for complex, distributed, and real-time problem-solving scenarios.…