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Openwebui Webhook Bridge V2

OpenWebUI-Webhook-Bridge-v2. Uses agent, lmChatOpenAi, memoryBufferWindow. Webhook trigger; 5 nodes.

Webhook trigger★★☆☆☆ complexityAI-powered5 nodesAgentOpenAI ChatMemory Buffer Window
AI & RAG Trigger: Webhook Nodes: 5 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow follows the Agent → OpenAI 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 →

Download .json
{
  "name": "OpenWebUI-Webhook-Bridge-v2",
  "nodes": [
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "openwebui-chat",
        "responseMode": "responseNode",
        "options": {}
      },
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [
        0,
        0
      ],
      "id": "8b5f3a0a-1e6a-4d4b-9e5c-7b4a2f1e2d3c",
      "name": "WebUI Webhook"
    },
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1.7,
      "position": [
        220,
        0
      ],
      "id": "c1a2b3c4-d5e6-4f7g-8h9i-j0k1l2m3n4o5",
      "name": "AI Agent"
    },
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        180,
        200
      ],
      "id": "o1p2q3r4-s5t6-4u7v-8w9x-y0z1a2b3c4d5",
      "name": "OpenAI Chat Model"
    },
    {
      "parameters": {
        "contextWindow": 10
      },
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        400,
        200
      ],
      "id": "m1n2o3p4-q5r6-4s7t-8u9v-w0x1y2z3a4b5",
      "name": "Window Buffer Memory"
    },
    {
      "parameters": {
        "respondWith": "text",
        "responseBody": "={{ $json.output }}",
        "options": {}
      },
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        500,
        0
      ],
      "id": "r1e2s3p4-o5n6-4s7e-8w9e-b0h1o2o3k4n5",
      "name": "Respond to Webhook"
    }
  ],
  "connections": {
    "WebUI Webhook": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "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
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "tags": []
}
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About this workflow

OpenWebUI-Webhook-Bridge-v2. Uses agent, lmChatOpenAi, memoryBufferWindow. Webhook trigger; 5 nodes.

Source: https://github.com/MorrisLu-Taipei/TigerAI-n8n-Skill-Pack/blob/e35322445656124f5c67654b2f5d2fe387cc6a89/examples/tigerai-flagship/openwebui-bridge-v2/workflow.json — original creator credit. Request a take-down →

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