(5/5)

Multi-Agent Conversation

Automated workflow: Multi-Agent Conversation. This workflow integrates 9 different services: stickyNote, code, agent, set, memoryBufferWindow. It contains 18 nodes and follows best practices for error handling and security.

Integrations Used (0)

Workflow Structure (15 nodes)

100%

No Op

When chat message received

Code

Define Global Settings

Code

Define Agent Settings

Code

Extract mentions

Split In Batches

Loop Over Items

First loop?

Code

Combine and format responses

Set

Set last Assistant message as input

Set

Set user message as input

No Op

AI Agent

No Op

OpenRouter Chat Model

No Op

Simple Memory

Set

Set lastAssistantMessage

Manual Trigger

Stop And Error

Error Handler

Node Types:

trigger

default

logic

code

transform

Requires credentials

Prerequisites

Required Credentials (1)

Open Router

Used by: OpenRouter Chat Model

Docs

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~40 min

Score: 68/100

Custom Code

Conditional Logic

Loops

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "0QQxgdQABUbbDJ0G",
  "meta": {
    "instanceId": "workflow-da6ed992",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:55.158917",
    "updatedAt": "2025-09-29T07:07:55.158944",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Multi-Agent Conversation",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...