How AI Agents Work Together (Multi-Agent Explained)

This content explains multi-agent systems where an orchestrator agent coordinates multiple specialized agents (researcher, coder, reviewer) working in parallel. The orchestrator spawns and manages these agents to handle different tasks simultaneously, improving efficiency and task completion. A key step in this workflow enables seamless coordination between agents.

Key Points

• •Orchestrator agent acts as the central coordinator that spawns and manages multiple specialized agents
• •Parallel execution of researcher, coder, and reviewer agents increases workflow efficiency
• •Researcher agent gathers and analyzes information for the task
• •Coder agent generates code based on research and requirements
• •Reviewer agent validates output quality and provides feedback
• •Specialized agents reduce cognitive load by focusing on specific domains
• •Multi-agent systems enable complex task decomposition and distributed problem-solving
• •Coordination between agents requires a critical synchronization step for success

Workflow Diagram

Concepts