AI Agent : Google calendar assistant using OpenAI

Chat trigger - When a message is received This node is the entry point of the workflow. It triggers the workflow whenever a message is sent to the chat interface. Options with n8n: - Embed the chat interface anywhere you want. - Use a webhook node instead of this node to connect with interfaces like [Streamlit](https://docs.streamlit.io/develop/tutorials/llms/build-conversational-apps) or [OpenWebUI](https://docs.openwebui.com/). - Use nodes for communication platforms (Slack, Teams, Discord, et

Integrations Used (5)

Chat

Lmchatopenai

Memorybufferwindow

Googlecalendartool

Agent

Workflow Structure (6 nodes)

100%

Langchain.chat Trigger

When chat message received

Langchain.agent

Calendar AI Agent

Langchain.lm Chat Open Ai

OpenAI Chat Model

Langchain.memory Buffer Window

Window Buffer Memory

Google Calendar Tool

Google Calendar - Get Events

Google Calendar Tool

Google Calendar - Create events

Node Types:

trigger

default

action

Requires credentials

Prerequisites

Required Credentials (2)

Google Calendar

Used by: Google Calendar - Get Events, Google Calendar - Create events

Docs

OpenAI

Used by: OpenAI Chat Model

Docs

Complexity

Moderate

Some experience helpful. Multiple integrations or logic.

Setup time: ~25 min

Score: 22/100

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "ITH6r6UYtlCyUcpj",
  "meta": {
    "instanceId": "b9faf72fe0d7c3be94b3ebff0778790b50b135c336412d28fd4fca2cbbf8d1f5"
  },
  "name": "AI Agent : Google calendar assistant using OpenAI",
  "tags": [],
  "nodes": [
    {
      "id": "2e670a54-f789-4c8b-abba-ae35c458f5ed",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -280,
        0
      ],
      "webhookId": "5308edc9-738b-4aae-a789-214e2392579a",
      "parameters": {
        "options": {}
      },
...