AI Chat Agent with Postgres Memory

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": {
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "d08a2559-17fd-4bdb-a976-795c3823a88a",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -520,
        240
      ],
      "parameters": {
        "content": "## Try me out\nClick the 'chat' button at the bottom of the canvas and paste in:\n\n_Which tables are available?_"
      },
      "typeVersion": 1
    },
    {
      "id": "3019b559-6100-4ead-8e1a-a7dece2a6982",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -380,
        -60
      ],
      "parameters": {
        "color": 7,
        "width": 677,
        "height": 505,
        "content": "This workflow uses a Postgres DB, but you could swap it for a MySQL or SQLite one"
      },
      "typeVersion": 1
    },
    {
      "id": "73786411-5383-4921-82ee-06b3b582bab7",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -320,
        40
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "e65a1558-e0c0-4c4a-a306-90dc6dcb618a",
      "name": "Postgres",
      "type": "n8n-nodes-base.postgresTool",
      "position": [
        140,
        260
      ],
      "parameters": {
        "query": "{{ $fromAI('sql_statement') }}",
        "options": {},
        "operation": "executeQuery"
      },
      "credentials": {
        "postgres": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 2.5
    },
    {
      "id": "9df537e7-3ca2-4e72-bc85-ae0d944fbdd1",
      "name": "Simple Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        0,
        260
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "57b2b959-9f25-475f-b6bb-842139725411",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -100,
        40
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.8
    },
    {
      "id": "f21ac2dc-56ff-4ea6-a29e-168e7dfaf3fa",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -160,
        260
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    }
  ],
  "connections": {
    "Postgres": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "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.

• openAiApi
• postgres

About this workflow

Postgrestool Stickynote. Uses stickyNote, chatTrigger, postgresTool, memoryBufferWindow. Chat trigger; 7 nodes.

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

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