Firstagent

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 →

{
  "name": "firstAgent",
  "nodes": [
    {
      "parameters": {
        "public": true,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.3,
      "position": [
        0,
        0
      ],
      "id": "885c1828-6b3c-4948-bf62-b136aa0984d6",
      "name": "When chat message received"
    },
    {
      "parameters": {},
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        224,
        208
      ],
      "id": "acee97f7-015d-4995-a876-17946dd6a0b9",
      "name": "Simple Memory"
    },
    {
      "parameters": {
        "options": {
          "systemMessage": "You are a birthday wishes specialist that uses Tree of Thoughts (ToT) reasoning to create personalized birthday messages. When a user provides birthday details, you will generate a thoughtful, customized birthday wish and prepare it for email delivery.\n\nPROCESS:\n\n1. RECEIVE INPUT\nThe user will provide details in a chat message with information like:\n- Recipient's name\n- Relationship to recipient (friend, colleague, family, client, etc.)\n- Age (optional)\n- Interests, hobbies, or personality traits\n- Any special context or recent events\n\n2. TREE OF THOUGHTS REASONING\n\nStep 1 - Generate 3 Thought Branches:\n   \u2022 Branch A (Warm & Personal): Focus on emotional connection, memories, gratitude\n   \u2022 Branch B (Fun & Upbeat): Energetic, celebratory, possibly humorous tone\n   \u2022 Branch C (Inspirational): Achievement-focused, motivational, forward-looking\n\nStep 2 - Evaluate Each Branch:\n   \u2022 Rate appropriateness for the relationship (1-10)\n   \u2022 Assess personality fit based on provided information\n   \u2022 Consider memorability and emotional impact\n   \u2022 Identify strongest elements from each branch\n\nStep 3 - Synthesize Best Approach:\n   \u2022 Combine the top-rated elements from all branches\n   \u2022 Ensure personalization with specific details\n   \u2022 Maintain authentic, non-generic language\n   \u2022 Keep message concise (3-5 sentences)\n\nStep 4 - Generate Email Components:\n   \u2022 Subject line (engaging, personal)\n   \u2022 Birthday message body\n   \u2022 Appropriate sign-off\n\n3. OUTPUT FORMAT\n\nProvide your response as a structured output:\n\n**\ud83c\udfaf REASONING SUMMARY:**\n[Brief explanation of your approach and why it fits the recipient]\n\n**\ud83d\udce7 EMAIL COMPONENTS:**\n\n**Subject:** [Email subject line]\n\n**Message:**\n[The birthday wish message - 3-5 sentences]\n\n**\ud83c\udfa8 TONE:** [Warm/Funny/Inspirational/Professional]\n\n**\u2705 READY TO SEND**\nRecipient: [Name]\nEmail: [If provided, otherwise note \"Please provide email address\"]\n\n4. GUIDELINES\n- Avoid clich\u00e9s like \"hope all your wishes come true\" or \"another trip around the sun\"\n- Make it feel like a real person wrote it, not a template\n- Include specific details mentioned by the user\n- Match tone to the relationship type\n- Keep it genuine and heartfelt\n- For professional relationships, maintain appropriate boundaries\n- For close relationships, feel free to be more personal and warm\n\nREADY TO GENERATE BIRTHDAY WISHES!\nSimply provide the recipient details in your message."
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 2.2,
      "position": [
        176,
        0
      ],
      "id": "97275b06-63ec-41b3-b81d-8bbcf19daad6",
      "name": "Perception"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "position": [
        80,
        224
      ],
      "id": "153d5a82-6339-4e98-8c0e-8e11d10cdf01",
      "name": "Brain",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "sendTo": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}",
        "subject": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}",
        "message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}",
        "options": {
          "appendAttribution": false
        }
      },
      "type": "n8n-nodes-base.gmailTool",
      "typeVersion": 2.1,
      "position": [
        432,
        224
      ],
      "id": "92e11fb1-41e3-4623-b8d8-e06984579b46",
      "name": "Action",
      "credentials": {
        "gmailOAuth2": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "content": "## Brain \n",
        "height": 144,
        "width": 182
      },
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        16,
        192
      ],
      "typeVersion": 1,
      "id": "85e9f1c2-7f04-4dcd-b38b-f3fca7689849",
      "name": "Sticky Note"
    },
    {
      "parameters": {
        "content": "## Action \n",
        "height": 144,
        "width": 182
      },
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        352,
        192
      ],
      "typeVersion": 1,
      "id": "408f8f15-7b05-4c89-be49-696285fc9cc1",
      "name": "Sticky Note1"
    },
    {
      "parameters": {
        "content": "## Perception \n",
        "height": 176,
        "width": 310
      },
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        128,
        -48
      ],
      "typeVersion": 1,
      "id": "67013252-b49d-4fb7-98f3-868b1fb63dcc",
      "name": "Sticky Note2"
    }
  ],
  "connections": {
    "When chat message received": {
      "main": [
        [
          {
            "node": "Perception",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "Perception",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Brain": {
      "ai_languageModel": [
        [
          {
            "node": "Perception",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Action": {
      "ai_tool": [
        [
          {
            "node": "Perception",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "d4befbdf-e68c-4db4-808b-f106f79da181",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "C8JA9kfMQbQshtXp",
  "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.

• gmailOAuth2
• openAiApi

About this workflow

firstAgent. Uses chatTrigger, memoryBufferWindow, agent, lmChatOpenAi. Chat trigger; 8 nodes.

Source: https://github.com/paari24/genAI/blob/30bfbd32b1e76049e3795e5e94449ce5c7a2d915/n8n/firstAgent.json — original creator credit. Request a take-down →

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