Artificial Intelligence
agent managers
Systems or software components designed to coordinate, monitor, and orchestrate multiple autonomous AI agents to achieve complex goals.
Explanation
Agent managers act as the control layer in multi-agent systems (MAS). They are responsible for task decomposition, where a large objective is broken down into smaller sub-tasks assigned to specialized agents. They also handle communication protocols between agents, manage resource allocation, resolve conflicts, and aggregate the final outputs. In modern AI architectures, agent managers ensure that individual agents work in harmony rather than in isolation, often utilizing frameworks like AutoGen or LangGraph to maintain state and flow across complex workflows.