This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "Local Ollama AI Agent Chatbot",
"nodes": [
{
"parameters": {
"options": {}
},
"id": "chat-1",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.4,
"position": [
-600,
0
]
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.chatInput }}",
"options": {
"systemMessage": "You are a multilingual customer support AI agent. Reply in the same language as the user. Use tools when needed. Keep replies short, polite, and business-friendly."
}
},
"id": "agent-1",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2,
"position": [
-260,
0
]
},
{
"parameters": {
"model": "llama3.2:latest",
"options": {
"temperature": 0.2
}
},
"id": "model-1",
"name": "Ollama Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
-460,
260
]
},
{
"parameters": {
"contextWindowLength": 10
},
"id": "memory-1",
"name": "Simple Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
-260,
260
]
},
{
"parameters": {
"description": "Lookup product pricing or quotation guidance.",
"jsCode": "return JSON.stringify({ found: false, message: 'Replace with your own price lookup logic.' });"
},
"id": "tool-1",
"name": "price_lookup",
"type": "@n8n/n8n-nodes-langchain.toolCode",
"typeVersion": 1.2,
"position": [
-40,
260
]
},
{
"parameters": {
"description": "Lookup order status details.",
"jsCode": "return JSON.stringify({ found: false, message: 'Replace with your own order status lookup logic.' });"
},
"id": "tool-2",
"name": "order_status_lookup",
"type": "@n8n/n8n-nodes-langchain.toolCode",
"typeVersion": 1.2,
"position": [
180,
260
]
},
{
"parameters": {
"description": "Use when the user requests human or sales support.",
"jsCode": "return JSON.stringify({ handoff: true, message: 'Replace with your own sales handoff process.' });"
},
"id": "tool-3",
"name": "sales_handoff",
"type": "@n8n/n8n-nodes-langchain.toolCode",
"typeVersion": 1.2,
"position": [
400,
260
]
},
{
"parameters": {
"jsCode": "const item = $input.first().json;\nlet reply = item.output || item.text || item.response || item.message?.content || '';\nreply = String(reply || '').replace(/<think>[\\s\\S]*?<\\/think>/gi, '').trim();\nreturn [{ json: { output: reply || 'Sorry, I could not generate a reply. Please try again.' } }];"
},
"id": "code-1",
"name": "Format Chat Output",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
80,
0
]
}
],
"connections": {
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Format Chat Output",
"type": "main",
"index": 0
}
]
]
},
"Ollama Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"price_lookup": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"order_status_lookup": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"sales_handoff": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"meta": {
"templateCredsSetupCompleted": false
}
}
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About this workflow
Local Ollama AI Agent Chatbot. Uses chatTrigger, agent, lmChatOllama, memoryBufferWindow. Chat trigger; 8 nodes.
Source: https://github.com/mobizmad/n8n-workflow-templates/blob/main/chatbots/local-ollama-ai-agent-chatbot/workflow.json — original creator credit. Request a take-down →
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