Multi-agent systems (MAS) are computational systems in which multiple autonomous agents interact or collaborate to achieve individual or collective goals. Each agent is independent with its knowledge, capabilities, and decision-making processes, often operating in a shared environment. These systems solve complex problems that are difficult for a single agent to handle, leveraging coordination, cooperation, or competition among agents.

Multi-Agent Orchestration is a framework within MAS where a central component, often called an “orchestrator”, coordinates and manages the interactions of multiple autonomous agents to achieve a complex goal. The orchestrator acts as a conductor, breaking down tasks, assigning them to specialized agents, monitoring progress, and synthesizing results, while ensuring seamless collaboration, conflict resolution, and adaptability to dynamic conditions.