Describe how your agents divide the work and the AI draws the orchestration, supervisors, specialists, shared state, and every handoff between them
No sign-up required • Free to try
Describe your agent and the AI draws the loop, model, tools, memory, guardrails, and the humans and systems it touches
Design full-stack LLM applications with routing, retrieval, tooling, and safety layers
Design event-driven systems with AI. Visualize event producers, message brokers, consumers, and asynchronous communication
Common questions about ai multi-agent architecture generator
Yes, and the topology is the decision: supervisor patterns render as a hub with specialists, swarms as peers over shared state, pipelines as staged flows with gates. Generating two candidate topologies and comparing them is the fastest way to settle a design debate.
Shared memory, message channels, and per-agent private context render as distinct components, which surfaces the classic multi-agent failure (two agents silently overwriting shared state) before it ships.
Approval gates, escalation queues, and review checkpoints are drawn on the exact edges where they apply, so the compliance conversation ("where can a human stop this?") has a concrete answer.
Signing up costs nothing and every feature is included. Only AI generation is metered, in credits.