How does Flowise Agentflow handle multi-agent loops and reasoning?
I’m moving from basic Chatflows to the new Flowise Agentflow. I want to build a system where a Researcher agent hands off to a Writer agent. Does the Flowise implementation of multi-agent systems support complex loops where the writer can send the draft back to the researcher if info is missing? Is this manageable in a visual canvas?
2025-01-22 in AI and Deep Learning by Katherine Rivera
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All answers to this question.
The Agentflow V2 in Flowise is a massive upgrade for this exact scenario. It uses a supervisor-worker architecture where you can define specific roles and tools for each agent. Unlike the linear Chatflows, Flowise Agentflow allows for non-sequential execution. You can actually draw a loop back in the canvas. I built a coding assistant where the "Tester" agent sends bugs back to the "Coder" agent until the tests pass. Seeing that loop visually in the Flowise editor makes it much easier to debug where the logic is breaking down.
Answered 2025-03-05 by Heather Miller
Is there a way to limit the number of iterations in a Flowise agent loop to prevent "token burning"?
Answered 2025-04-12 by Brandon Taylor
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Brandon, you can set the "Max Iterations" parameter directly in the Flowise agent nodes. This is a critical safety feature. It ensures that if your agents get stuck in a recursive "I don't know" loop, the Flowise engine kills the process after 5 or 10 turns. It’s saved our API budget more than once during the testing phase of a complex multi-agent flow.
Commented 2025-04-18 by Justin Fisher
The visual debugging in Agentflow is great. You can see which agent is "active" in real-time during the trace.
Answered 2025-05-20 by Ryan Garcia
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Exactly, Ryan. That real-time feedback in the Flowise UI is what makes it superior to traditional logging for complex agentic workflows.
Commented 2025-05-25 by Katherine Rivera
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