Artificial Intelligence
AI Agent Orchestration
The systematic coordination and management of multiple autonomous AI agents to execute complex tasks and achieve shared objectives.
Explanation
AI agent orchestration refers to the architectural layer that governs how multiple AI agents interact, share information, and execute sub-tasks within a larger workflow. Unlike single-agent systems, orchestration involves task decomposition, where a complex goal is broken down into manageable parts, and task assignment, where specific agents are selected based on their specialized capabilities or tools. It also encompasses the management of state, memory, and communication protocols between agents to ensure consistency and prevent loops or conflicts. Popular frameworks for orchestration include LangGraph, CrewAI, and Microsoft's AutoGen, which provide the infrastructure for building these collaborative agentic workflows.