Choose agent topology

Pick single-agent chat or a multi-agent team with supervisor and specialists. Agent topology determines how tasks are routed. Single-agent is simplest;...

Pick single-agent chat or a multi-agent team with supervisor and specialists.

Agent topology determines how tasks are routed. Single-agent is simplest; multi-agent teams use a supervisor to delegate to specialists.

Configure topology in the AI Agents panel (tab 03) and assign per-agent LLM models.

Use this resource with the linked curriculum, related tutorials, and Gateway documentation. Test the workflow with scoped access before production use, review any action that changes external systems, and keep the persona instructions and connected tools aligned with the outcome your team expects.

Agent topology: Single vs multi-agent.

Explore related resources

All GO Academy tutorials
Choose agent topology overview — Pick single-agent chat or a multi-agent team with supervisor and specialists.
Single vs multi-agent
Agents, Commands & Pipelines 101 — Design agent topology, slash commands, pipelines, and data lists for structured automation behind your persona.
Create slash commands — Define /trigger commands that run tools, apps, workflows, or media actions.
GO Academy courses — Follow structured courses for creating and operating AI personas.
Gateway API documentation — Connect coding agents and applications to governed tools and resources.
Operator marketplace — Explore reusable operators, skills, templates, and automation systems.
AI persona use cases — See domain-specific personas for teams and operational workflows.
About Gabriel Operator — Learn how Gabriel Operator helps AI personas execute real work safely.