Agents

Agent Orchestration

Share

Agent orchestration is an AI interface design pattern that provides a visual flow interface for coordinating multiple AI agents working together on complex tasks. This UX pattern displays agents as nodes in a workflow diagram, showing how they connect, share data, and execute in sequence or parallel. Users can see the overall agent architecture, monitor each agent's status, and understand how information flows between agents. The pattern enables complex multi-agent systems where different agents handle different aspects of a task, such as research, analysis, and execution. This pattern is essential for enterprise automation, complex problem-solving, and workflows that require multiple specialized AI agents collaborating.

Use Case

Ideal for enterprise automation platforms, complex problem-solving systems, and workflows requiring multiple specialized AI agents to collaborate on tasks.

Examples in Wild

LangGraphCrewAIAutoGPTAgentGPT

Use this pattern in your project

Copy this prompt to generate a production-ready implementation in Cursor, Claude Code, Lovable, or any AI coding agent.

Generate a production-ready implementation of the "Agent Orchestration" AI interface design pattern.

Pattern Description:
Interactive Demo
Restart demo
Agent Orchestration
Research Agent
Gathers information
Analysis Agent
Waiting...
Processes data
Synthesis Agent
Waiting...
Creates output

Get new patterns by email

Weekly AI interface UX notes and resources on Substack, no spam, unsubscribe anytime.

Subscribe on Substack