AI Debate Workflow to Simulate Multi-Agent Discussions

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This n8n workflow orchestrates a simulated debate among multiple AI agents, designed to generate refined and comprehensive answers through iterative discussion. The process starts with a scheduled trigger, initiating a structured debate environment where AI agents, each with distinct roles and personalities, analyze, discuss, and revise a given input text over multiple rounds. Key nodes include configuration nodes for setting debate parameters, split nodes for managing multiple AI agents, and specialized language model nodes for generating responses. The debate is carried out in a loop, with agents’ replies evaluated and summarized by AI environment nodes, until the predefined number of rounds is completed. The final output includes a summarized debate, a rewitten input due to collective insights, and detailed responses from all AI agents, making this workflow suitable for complex scenario simulations, decision-making processes, or creative content refinement.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatMistralCloud, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, emailReadImap, if, manualTrigger, n8n-nodes-globals.globalConstants, noOp, scheduleTrigger, set, splitInBatches, splitOut, stickyNote, wait

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