AI Agent with Ollama for current weather and wiki

The conversation history(last 20 messages) is stored in a buffer memory

Integrations Used (6)

Manualchat

Toolwikipedia

Workflow Structure (6 nodes)

100%

Langchain.manual Chat Trigger

On new manual Chat Message

Langchain.agent

AI Agent

Langchain.lm Chat Ollama

Ollama Chat Model

Langchain.memory Buffer Window

Window Buffer Memory

Langchain.tool Http Request

Weather HTTP Request

Langchain.tool Wikipedia

Wikipedia

Node Types:

trigger

default

http

Requires credentials

Prerequisites

Required Credentials (1)

Ollama

Used by: Ollama Chat Model

Docs

Complexity

Simple

Great for beginners. Few nodes, straightforward setup.

Setup time: ~15 min

Score: 15/100

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

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.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "meta": {
    "instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
    "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"
      },
...