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Asana AI Agent

Asana AI Agent. Uses lmChatOpenAi, memoryBufferWindow, respondToWebhook, toolWorkflow. Webhook trigger; 8 nodes.

Webhook trigger★★★☆☆ complexityAI-powered8 nodesLm Chat Open AiMemory Buffer WindowTool WorkflowAgentChat Trigger
AI & RAG Trigger: Webhook Nodes: 8 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
{
  "name": "Asana AI Agent",
  "nodes": [
    {
      "parameters": {
        "model": "gpt-4o-mini",
        "options": {}
      },
      "id": "555cd8d7-331e-43dd-8dae-cfe225c04f89",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        1260,
        580
      ],
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "sessionIdType": "customKey",
        "sessionKey": "={{ $('When chat message received').item.json.sessionId }}"
      },
      "id": "1c63f69f-bc07-4a3c-b832-59c5bb575a48",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.2,
      "position": [
        1380,
        600
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "76db7743-f5ae-410d-8eff-73a465b57fa9",
      "name": "Respond to Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        1860,
        360
      ]
    },
    {
      "parameters": {
        "name": "Asana",
        "description": "Call this tool to create a task in Asana. Give two parameters - the name of the task and the day it is due in the format YYYY-MM-DD",
        "workflowId": "nCnW5wOp1qjTpOvp",
        "responsePropertyName": "permalink_url",
        "fields": {
          "values": [
            {}
          ]
        },
        "specifyInputSchema": true,
        "jsonSchemaExample": "{\n\t\"name\": \"Study for Test\",\n    \"due_date\": \"2024-07-13\"\n}"
      },
      "id": "f0dbf665-1a80-4ea8-ae51-7c0f421a7a56",
      "name": "Call n8n Workflow Tool",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "typeVersion": 1.1,
      "position": [
        1560,
        580
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "d9019c17-0180-4dbe-8e85-60474aaafe93",
      "name": "Date & Time",
      "type": "n8n-nodes-base.dateTime",
      "typeVersion": 2,
      "position": [
        1000,
        360
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "asana_chatbot",
        "authentication": "headerAuth",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "0a1664a4-4ade-4f2c-9692-cbcd343aae17",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [
        640,
        180
      ],
      "credentials": {
        "httpHeaderAuth": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $('When chat message received').item.json.chatInput }}",
        "options": {
          "systemMessage": "=You are a helpful assistant who helps create tasks in Asana. The current date is {{ $json.currentDate }}"
        }
      },
      "id": "3822b0eb-cd1b-419c-b12e-97f98ef0f604",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1.6,
      "position": [
        1260,
        360
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "27ede384-f66c-4ad5-9659-e5851c43e626",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.1,
      "position": [
        640,
        360
      ]
    }
  ],
  "connections": {
    "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
          }
        ]
      ]
    },
    "Call n8n Workflow Tool": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Date & Time": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Webhook": {
      "main": [
        [
          {
            "node": "Date & Time",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "Date & Time",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": true,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "ffbc203b-f652-43b2-84fb-4f899a0d977c",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "HF7kvnDcr2SUOYaE",
  "tags": []
}

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

Asana AI Agent. Uses lmChatOpenAi, memoryBufferWindow, respondToWebhook, toolWorkflow. Webhook trigger; 8 nodes.

Source: https://github.com/daboi2331/ai-agents-masterclass/blob/main/8-n8n-asana-agent/n8n_Workflow_Asana_AI_Agent.json — original creator credit. Request a take-down →

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