Power your website chat with OpenAI GPT-4o-mini and session memory
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 10 nodes and runs when a chat message arrives. Along the way it connects OpenAI Chat Model, Google Sheets and Slack.
How it runs
Trigger: When a chat message arrives.
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; memory: Simple Memory
- Website Chat Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 3 tools (Save Lead, Notify Hot Lead, Escalate To Human); memory: Window Buffer Memory
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Website Chat Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Website Chat Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (6)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Google Sheets Tool
n8n-nodes-base.googleSheetsTool - Slack Tool
n8n-nodes-base.slackTool
From the author
Quick Overview This workflow exposes an n8n chat webhook that powers a website chatbot using an OpenAI chat model, with short-term session memory to keep recent conversation context. How it works 1. Receives a visitor message via the public n8n chat webhook…