Orchestrated multi-agent system where specialized AI agents collaborate on complex tasks with shared memory and tool use.
Difficulty: advanced
Tags: ai, multi-agent, orchestration, llm
Multi-agent AI systems decompose complex tasks across specialized agents — a planner agent breaks down the problem, domain-specific agents execute subtasks, and a supervisor agent orchestrates the workflow. This architecture supports tool use (web search, code execution, API calls), shared memory for context passing between agents, and human-in-the-loop checkpoints for critical decisions. Suited for AI teams decomposing complex reasoning tasks across specialized agents with tool use and human-in-the-loop checkpoints.