Create a webhook-ready conversational assistant with Google Gemini and session memory

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Universal AI Assistant Webhook Ready Conversational AI Transform any platform into an intelligent conversational experience with this plug and play n8n workflow. This AI assistant can be seamlessly...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.webhook, n8n-nodes-base.respondtowebhook, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by David Olusola.

Original n8n.io source

1.1 Workflow description

Title: Create a webhook-ready conversational assistant with Google Gemini and session memory
Workflow name: Create a webhook-ready conversational assistant with Google Gemini and session memory

Universal AI Assistant - Webhook-Ready Conversational AI

Transform any platform into an intelligent conversational experience with this plug-and-play n8n workflow. This AI assistant can be seamlessly integrated into websites, mobile apps, or any system that supports webhook connections. Key Features:

🔗 Universal Integration - Connect to any platform via webhook (websites, apps, bots) 🧠 Powered by Google Gemini 2.0 Flash - Fast, accurate, and context-aware responses 💾 Session Memory - Maintains conversation context for natural follow-up interactions ⚡ Real-time Responses - Instant webhook responses for smooth user experiences 🎯 Customizable Personality - Easy prompt modification for brand-specific tone

Perfect For:

Website Chat Widgets - Add AI support to any website instantly WhatsApp/Telegram Bots - Power messaging platforms with intelligent responses Mobile App Integration - Embed conversational AI into iOS/Android apps Customer Support Systems - Automate first-line support with context retention Lead Qualification - Intelligent pre-screening of prospects before human handoff

Simple Implementation:

Just send POST requests to the webhook URL with: json{ "message": "User's question here", "sessionId": "unique-session-identifier" } Ready to deploy in minutes - No complex setup required. Perfect for small businesses wanting to add AI capabilities without technical overhead.

This workflow gives you a production-ready foundation that you can customize for specific client needs. The session-based memory makes it ideal for customer support scenarios where context matters, and the webhook approach means it integrates with virtually any platform your clients are already using.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.8

Block 2 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 3 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 4 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.1

Block 5 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 6 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Create a webhook-ready conversational assistant with Google Gemini and session memory
Complexity	intermediate
Nodes	10
Categories	Support Chatbot, AI Chatbot
Author	David Olusola
Published	28 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5426/5426.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Create a webhook-ready conversational assistant with Google Gemini and session memory do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

David Olusola

92 workflows

Nodes

@n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.webhook n8n-nodes-base.respondtowebhook @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.stickynote

Complexity

intermediate

Published 28 Jun 2025

Likes 0

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Install path: /data/workflows/5426/5426.json

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Create a webhook-ready conversational assistant with Google Gemini and session memory

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Universal AI Assistant - Webhook-Ready Conversational AI

Perfect For:

Simple Implementation:

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AI Agent

Block 2 - Google Gemini Chat Model

Block 3 - Webhook

Block 4 - Respond to Webhook

Block 5 - Simple Memory

Block 6 - Sticky Note

Block 7 - Sticky Note1

Block 8 - Sticky Note2

Block 9 - Sticky Note3

Block 10 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions