Many agents, one job: build an Agentflow
Goal. Orchestrate several agents that hand work to each other to complete a multi-step task.
From a Start node, route to a Search Agent that gathers facts and a Get Request node that fetches data, then pass both to a Summarize node that writes the final answer.
Use the third builder type, Agentflow — Flowise's canvas for multi-agent orchestration, where each node is a step or an agent and the connections set the order.
- 1Create an Agentflow and drop a Start node — the entry point for the run.
- 2Add specialised nodes (e.g. a Search Agent, a Get Request tool, a Summarize step) and connect them so work flows from one to the next; you literally see the path the task takes.
- 3Run it from the chat panel and watch each agent do its part and hand off. This is the leap from one assistant (Lesson 2) to a coordinated team of them.
You'll see. A multi-node workflow where Start branches to a Search Agent and a Get Request, then converges on a Summarize step that produces the answer.
Cost. Every agent step is its own model call, so a multi-agent run spends more predictions and tokens than a single Chatflow — plan the flow before you run it repeatedly.
Takeaway. Agentflow is for orchestration: when one agent isn't enough, wire several together and watch the hand-offs on the canvas.