This workflow corresponds to n8n.io template #2931 — we link there as the canonical source.
This workflow follows the Agent → Ollama Chat recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"meta": {
"templateId": "2931",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "100f23d3-cbe9-458a-9ef1-7cc5fcba8f3c",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
540
],
"parameters": {
"width": 300,
"height": 205,
"content": "### The conversation history(last 20 messages) is stored in a buffer memory"
},
"typeVersion": 1
},
{
"id": "b48f989f-deb9-479c-b163-03f098d00c9c",
"name": "On new manual Chat Message",
"type": "@n8n/n8n-nodes-langchain.manualChatTrigger",
"position": [
380,
240
],
"parameters": {},
"typeVersion": 1
},
{
"id": "add8e8df-6b2a-4cbd-84e7-3b006733ef7d",
"name": "Wikipedia",
"type": "@n8n/n8n-nodes-langchain.toolWikipedia",
"position": [
1180,
640
],
"parameters": {},
"typeVersion": 1
},
{
"id": "a97454a8-001d-4986-9cb5-83176229ea70",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
980,
540
],
"parameters": {
"width": 300,
"height": 205,
"content": "### Tools which agent can use to accomplish the task"
},
"typeVersion": 1
},
{
"id": "52b57e72-8cc9-4865-9a00-d03b2e7f1b92",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
600,
160
],
"parameters": {
"width": 422,
"height": 211,
"content": "### Conversational agent will utilise available tools to answer the prompt. "
},
"typeVersion": 1
},
{
"id": "8f0653ab-376b-40b9-b876-e608defdeb89",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
740,
600
],
"parameters": {
"contextWindowLength": 20
},
"typeVersion": 1
},
{
"id": "13237945-e143-4f65-b034-785f5ebde5bb",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
680,
240
],
"parameters": {
"text": "={{ $json.input }}",
"options": {
"systemMessage": "=You are a helpful assistant, with weather tool and wiki tool. find out the latitude and longitude information of a location then use the weather tool for current weather and weather forecast. For general info, use the wiki tool."
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "ee06c0f4-b2de-4257-9735-3ec228f2b794",
"name": "Weather HTTP Request",
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"position": [
1020,
620
],
"parameters": {
"url": "https://api.open-meteo.com/v1/forecast",
"sendQuery": true,
"parametersQuery": {
"values": [
{
"name": "latitude"
},
{
"name": "longitude"
},
{
"name": "forecast_days",
"value": "1",
"valueProvider": "fieldValue"
},
{
"name": "hourly",
"value": "temperature_2m",
"valueProvider": "fieldValue"
}
]
},
"toolDescription": "Fetch current temperature for given coordinates."
},
"notesInFlow": true,
"typeVersion": 1.1
},
{
"id": "3e5608c8-281d-47e0-af9d-77707530fd6b",
"name": "Ollama Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"position": [
520,
620
],
"parameters": {
"model": "llama3.2:latest",
"options": {}
},
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "b3d794f4-37b5-46c8-9d7d-ad1087006ce5",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1040,
140
],
"parameters": {
"color": 4,
"height": 240,
"content": "### In System Message, add the following.\n\n\"You are a helpful assistant, with weather tool and wiki tool. find out the latitude and longitude information of a location then use the weather tool for current weather and weather forecast. For general info, use the wiki tool.\""
},
"typeVersion": 1
}
],
"connections": {
"Wikipedia": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Ollama Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Weather HTTP Request": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"On new manual Chat Message": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
ollamaApi
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Ai Agent With Ollama For Current Weather And Wiki. Uses stickyNote, manualChatTrigger, toolWikipedia, memoryBufferWindow. Chat trigger; 10 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
This workflow template demonstrates how to create an AI-powered agent that provides users with current weather information and Wikipedia summaries. By integrating n8n with Ollama's local Large Languag
Ai Chatbot That Can Search The Web. Uses stickyNote, manualChatTrigger, lmChatOpenAi, toolWikipedia. Chat trigger; 9 nodes.
ModelRouter. Uses chatTrigger, agent, modelSelector, httpRequest. Chat trigger; 28 nodes.
AI Agent to chat with Snowflake database. Uses chatTrigger, agent, memoryBufferWindow, snowflakeTool. Chat trigger; 25 nodes.
teste. Uses chatTrigger, agent, lmChatGroq, memoryBufferWindow. Chat trigger; 24 nodes.