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Ai Agent Chat

Ai Agent Chat. Uses lmChatOpenAi, memoryBufferWindow, toolSerpApi, chatTrigger. Chat trigger; 5 nodes.

Chat trigger trigger★★☆☆☆ complexityAI-powered5 nodesLm Chat Open AiMemory Buffer WindowTool Serp ApiChat TriggerAgent
AI & RAG Trigger: Chat trigger Nodes: 5 Complexity: ★★☆☆☆ AI nodes: yes

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 →

Download .json
{
  "nodes": [
    {
      "id": "939bb301-5e12-4d5b-9a56-61a61cca5f0d",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        640,
        460
      ],
      "parameters": {
        "model": "gpt-4o-mini",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "372777e8-ce90-4dea-befc-ac1b2eb4729f",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        780,
        460
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "7a8f0ad1-1c00-4043-b3e5-c88521140a1a",
      "name": "SerpAPI",
      "type": "@n8n/n8n-nodes-langchain.toolSerpApi",
      "position": [
        920,
        460
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "serpApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a7624108-e3da-4193-a625-887314216b8b",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        360,
        240
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "6b8b7de8-fe3f-43b5-97ce-a52a9e44eb5e",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        680,
        240
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.6
    }
  ],
  "connections": {
    "SerpAPI": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "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.

About this workflow

Ai Agent Chat. Uses lmChatOpenAi, memoryBufferWindow, toolSerpApi, chatTrigger. Chat trigger; 5 nodes.

Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →

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