AutomationFlowsAI & RAG › AI Personal Assistant with OpenAI

AI Personal Assistant with OpenAI

Original n8n title: Ultimate Personal Assistant

Ultimate Personal Assistant. Uses agent, lmChatOpenAi, toolWorkflow, memoryBufferWindow. Event-driven trigger; 15 nodes.

Event trigger★★★★☆ complexityAI-powered15 nodesAgentOpenAI ChatTool WorkflowMemory Buffer WindowTool Http RequestTool CalculatorTelegram TriggerTelegram
AI & RAG Trigger: Event Nodes: 15 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": "Ultimate Personal Assistant",
  "nodes": [
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json.text }}",
        "options": {
          "systemMessage": "=# Overview\nYou are the ultimate personal assistant. Your job is to send the user's query to the correct tool. You should never be writing emails, or creating even summaries, you just need to call the correct tool.\n\n## Tools\n- emailAgent: Use this tool to take action in email\n- calendarAgent: Use this tool to take action in calendar\n- contactAgent: Use this tool to get, update, or add contacts\n- contentCreator: Use this tool to create blog posts\n- Tavily: Use this tool to search the web\n\n## Rules\n- Some actions require you to look up contact information first. For the following actions, you must get contact information and send that to the agent who needs it:\n  - sending emails\n  - drafting emails\n  - creating calendar event with attendee\n\n## Examples\n1) \n- Input: send an email to nate herkelman asking him what time he wants to leave\n  - Action: Use contactAgent to get nate herkelman's email\n  - Action: Use emailAgent to send the email. You will pass the tool a query like \"send nate herkelman an email to ask what time he wants to leave. here is his email: [email address]\n- Output: The email has been sent to Nate Herkelman. Anything else I can help you with?\n\n\n## Final Reminders\nHere is the current date/time: {{ $now }}"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1.7,
      "position": [
        440,
        -100
      ],
      "id": "f1344298-a586-4a63-a113-b9581ae93c45",
      "name": "Ultimate Assistant"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "value": "gpt-4o",
          "mode": "list",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "position": [
        120,
        200
      ],
      "id": "46def81a-7dcd-4a07-8642-e6035af87a7d",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "name": "emailAgent",
        "description": "Call this tool for any email actions.",
        "workflowId": {
          "__rl": true,
          "value": "C3hLlOS4O6ZJtVFy",
          "mode": "list",
          "cachedResultName": "\ud83e\udd16Email Agent"
        },
        "workflowInputs": {
          "mappingMode": "defineBelow",
          "value": {},
          "matchingColumns": [],
          "schema": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        }
      },
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "typeVersion": 2,
      "position": [
        340,
        360
      ],
      "id": "4c445d15-99d3-465f-a8bc-610729fa0f65",
      "name": "Email Agent"
    },
    {
      "parameters": {
        "name": "contactAgent",
        "description": "Call this tool for any contact related actions.",
        "workflowId": {
          "__rl": true,
          "value": "IsSUyrla7wc1cDLE",
          "mode": "list",
          "cachedResultName": "\ud83e\udd16Contact Agent"
        },
        "workflowInputs": {
          "mappingMode": "defineBelow",
          "value": {},
          "matchingColumns": [],
          "schema": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        }
      },
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "typeVersion": 2,
      "position": [
        620,
        380
      ],
      "id": "a4de4692-0a12-438a-826b-0eb45fa0bb0b",
      "name": "Contact Agent"
    },
    {
      "parameters": {
        "name": "contentCreator",
        "description": "Call this tool to create blog posts.",
        "workflowId": {
          "__rl": true,
          "value": "WWSu94V939ATcqvi",
          "mode": "list",
          "cachedResultName": "\ud83e\udd16Content Creator Agent"
        },
        "workflowInputs": {
          "mappingMode": "defineBelow",
          "value": {},
          "matchingColumns": [],
          "schema": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        }
      },
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "typeVersion": 2,
      "position": [
        740,
        340
      ],
      "id": "ad8218b3-3a89-455a-a49a-dbf847a442fc",
      "name": "Content Creator Agent"
    },
    {
      "parameters": {
        "sessionIdType": "customKey",
        "sessionKey": "={{ $('Telegram Trigger').item.json.message.chat.id }}"
      },
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        220,
        300
      ],
      "id": "88bf60e1-303b-4c0f-91df-340f9d33ae59",
      "name": "Window Buffer Memory"
    },
    {
      "parameters": {
        "toolDescription": "Use this tool to search the internet",
        "method": "POST",
        "url": "https://api.tavily.com/search",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\n    \"api_key\": \"your-api-key\",\n    \"query\": \"{searchTerm}\",\n    \"search_depth\": \"basic\",\n    \"include_answer\": true,\n    \"topic\": \"news\",\n    \"include_raw_content\": true,\n    \"max_results\": 3\n} ",
        "placeholderDefinitions": {
          "values": [
            {
              "name": "searchTerm",
              "description": "What the user has requested to search the internet for",
              "type": "string"
            }
          ]
        }
      },
      "type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
      "typeVersion": 1.1,
      "position": [
        860,
        280
      ],
      "id": "174c3435-fcb6-4579-92b1-37ea24c5e4aa",
      "name": "Tavily"
    },
    {
      "parameters": {},
      "type": "@n8n/n8n-nodes-langchain.toolCalculator",
      "typeVersion": 1,
      "position": [
        960,
        200
      ],
      "id": "b7920e6a-f44b-4f3c-893c-b3643628261e",
      "name": "Calculator"
    },
    {
      "parameters": {
        "name": "calendarAgent",
        "description": "Call this tool for any calendar action.",
        "workflowId": {
          "__rl": true,
          "value": "0NtlJ41IozGhtFa6",
          "mode": "list",
          "cachedResultName": "\ud83e\udd16Calendar Agent"
        },
        "workflowInputs": {
          "mappingMode": "defineBelow",
          "value": {},
          "matchingColumns": [],
          "schema": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        }
      },
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "typeVersion": 2,
      "position": [
        480,
        380
      ],
      "id": "88bd92de-d580-40c8-bc3c-44215004e8cc",
      "name": "Calendar Agent"
    },
    {
      "parameters": {
        "updates": [
          "message"
        ],
        "additionalFields": {}
      },
      "id": "29656d2a-6561-482d-8eb4-316666626cef",
      "name": "Telegram Trigger",
      "type": "n8n-nodes-base.telegramTrigger",
      "typeVersion": 1.1,
      "position": [
        -240,
        -100
      ],
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "assignments": {
          "assignments": [
            {
              "id": "fe7ecc99-e1e8-4a5e-bdd6-6fce9757b234",
              "name": "text",
              "value": "={{ $json.message.text }}",
              "type": "string"
            }
          ]
        },
        "options": {}
      },
      "id": "1eb55d45-2431-4315-9d3b-f794c6466d34",
      "name": "Set 'Text'",
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        180,
        -40
      ]
    },
    {
      "parameters": {
        "rules": {
          "values": [
            {
              "conditions": {
                "options": {
                  "caseSensitive": true,
                  "leftValue": "",
                  "typeValidation": "strict",
                  "version": 2
                },
                "conditions": [
                  {
                    "leftValue": "={{ $json.message.voice.file_id }}",
                    "rightValue": "",
                    "operator": {
                      "type": "string",
                      "operation": "exists",
                      "singleValue": true
                    }
                  }
                ],
                "combinator": "and"
              },
              "renameOutput": true,
              "outputKey": "Voice"
            },
            {
              "conditions": {
                "options": {
                  "caseSensitive": true,
                  "leftValue": "",
                  "typeValidation": "strict",
                  "version": 2
                },
                "conditions": [
                  {
                    "id": "8c844924-b2ed-48b0-935c-c66a8fd0c778",
                    "leftValue": "={{ $json.message.text }}",
                    "rightValue": "",
                    "operator": {
                      "type": "string",
                      "operation": "exists",
                      "singleValue": true
                    }
                  }
                ],
                "combinator": "and"
              },
              "renameOutput": true,
              "outputKey": "Text"
            }
          ]
        },
        "options": {}
      },
      "id": "e76366db-6cb2-464a-8997-fd21d275795f",
      "name": "Switch",
      "type": "n8n-nodes-base.switch",
      "typeVersion": 3.2,
      "position": [
        -80,
        -100
      ]
    },
    {
      "parameters": {
        "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
        "text": "={{ $json.output }}",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "id": "49d41b42-7ce7-42c6-b10e-7767f27b7c17",
      "name": "Response",
      "type": "n8n-nodes-base.telegram",
      "typeVersion": 1.2,
      "position": [
        900,
        -100
      ],
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "resource": "file",
        "fileId": "={{ $json.message.voice.file_id }}"
      },
      "id": "add76827-0115-43f9-b292-93f942fdf4ab",
      "name": "Download File",
      "type": "n8n-nodes-base.telegram",
      "typeVersion": 1.2,
      "position": [
        120,
        -200
      ],
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "resource": "audio",
        "operation": "transcribe",
        "options": {}
      },
      "id": "b01fcf5f-3dfa-420f-a5d6-706adc545a5f",
      "name": "Transcribe",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "typeVersion": 1.6,
      "position": [
        240,
        -200
      ],
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Email Agent": {
      "ai_tool": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Contact Agent": {
      "ai_tool": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Content Creator Agent": {
      "ai_tool": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Tavily": {
      "ai_tool": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Calculator": {
      "ai_tool": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Calendar Agent": {
      "ai_tool": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Telegram Trigger": {
      "main": [
        [
          {
            "node": "Switch",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Switch": {
      "main": [
        [
          {
            "node": "Download File",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Set 'Text'",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set 'Text'": {
      "main": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Ultimate Assistant": {
      "main": [
        [
          {
            "node": "Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Download File": {
      "main": [
        [
          {
            "node": "Transcribe",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Transcribe": {
      "main": [
        [
          {
            "node": "Ultimate Assistant",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "31076a3e-169a-4a4e-ad8e-30527b3630ac",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "NJ5zK0UP9WFl8ckM",
  "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.

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How this works

This workflow transforms your daily tasks into seamless actions by creating an intelligent personal assistant that handles emails, contacts, and content creation with natural language commands. It's ideal for busy professionals or entrepreneurs who want to delegate routine work without switching apps, saving hours on organisation and research. The core step involves an AI agent powered by OpenAI's chat model, which interprets your requests and routes them to specialised sub-workflows like the Email Agent for drafting replies or the Content Creator Agent for generating ideas, all while maintaining context through a memory buffer.

Use this workflow when you need quick, context-aware assistance for personal productivity, such as summarising emails or calculating expenses on the fly via the integrated calculator tool. Avoid it for high-security tasks requiring strict data controls, as it relies on external APIs like Tavily for web searches. Common variations include customising sub-workflows for specific domains, like adding a calendar integration for scheduling, or scaling it for team use by incorporating shared memory buffers.

About this workflow

Ultimate Personal Assistant. Uses agent, lmChatOpenAi, toolWorkflow, memoryBufferWindow. Event-driven trigger; 15 nodes.

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

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