Multi-Agent Architecture Diagram Template
Diagram a multi-agent system — a supervisor delegating to specialized worker agents with shared memory.
Use this templateWhat you get
- Supervisor agent that plans and delegates to workers
- Specialized worker agents: research, coding, writing
- Shared memory layer for passing context between agents
What this template is for
A multi-agent architecture diagram shows how several specialized AI agents coordinate to solve a task that one agent would struggle with alone. This template lays out the supervisor pattern: a supervisor (orchestrator) agent receives the user's request, breaks it into sub-tasks, and delegates each to a worker agent specialized for that job — research, coding, writing. A shared memory layer (a vector store) lets the agents pass context to one another. Use it to design a multi-agent system, document which agent owns which responsibility, or explain why a task was split across agents instead of handled by one.
When to use this template
- Design a multi-agent system and assign a clear responsibility to each agent.
- Explain to a stakeholder why one agent isn't enough for a complex workflow.
- Document the delegation flow from supervisor to workers for a design review.
- Trace a failure to a specific agent — was it research, coding, or writing that broke?
- Show how agents share context through a common memory layer.
- Compare a supervisor pattern against a flat, peer-to-peer agent network.
How to use it
- 1Start with the user request entering the supervisor at the top.
- 2Draw the supervisor (orchestrator) — it plans and delegates, but doesn't do the work itself.
- 3Add the worker agent layer below: one box per specialized agent.
- 4Connect the supervisor to each worker to show task delegation.
- 5Add a shared memory layer at the bottom that all workers read from and write to.
- 6Connect the worker layer to shared memory to show how context is passed between agents.
Quick example
Research report pipeline
Start editing online
Open the template in CodePic, replace the sample nodes, and turn it into your own study board in a few minutes.
See examples: /templates/multi-agent-architecture/examples


