Build your first AI agent – powered by Google Gemini with memory

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Important notice

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

1. Workflow Overview

A smart personal assistant that can reason, search, calculate, and remember — powered by Google Gemini and ready in one click. Most AI agents only respond — this one thinks before replying, pulls i...

Best for

Personal Productivity automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolthink, @n8n/n8n-nodes-langchain.toolserpapi, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.toolcalculator, @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 DigiMetaLab.

Original n8n.io source

1.1 Workflow description

Title: Build your first AI agent – powered by Google Gemini with memory
Workflow name: Build your first AI agent – powered by Google Gemini with memory

A smart personal assistant that can reason, search, calculate, and remember — powered by Google Gemini and ready in one click.

Most AI agents only respond — this one thinks before replying, pulls in real-time facts, does the math, and even remembers the last 5 things you said.

🔧 How it works This template builds a conversational agent using the Google Gemini API. It uses multiple tools like:

🧠 Think – to reason step-by-step 🔍 SerpAPI – to search live data on Google ➗ Calculator – to solve math problems 💾 Memory – to remember short-term chat history

You can embed this agent into a chatbot, web app, or automate any customer support, research, or productivity workflow.

🧠 Your agent will:

Understand what you're asking
Think logically using the Think tool
Search facts in real-time using SerpAPI
Calculate numbers using a math engine
Recall past context using a memory buffer
And respond clearly — just like a real assistant.

🧑‍💼 Who is this template for? This template is ideal for:

Creators & developers building AI agents
Teams needing a Gemini-powered assistant
Beginners exploring LangChain + n8n
Anyone curious about combining LLMs + tools + memory

🚀 How to set up

Plug in your Google Gemini API key
Add your SerpAPI key
Run the workflow and start chatting!
Everything is pre-wired for you — just import and go.

📬 Use cases You can connect this agent to:

Telegram bots 🤖

WhatsApp via Twilio 📱
Slack, Discord, or Gmail 💬
Or just trigger it inside n8n manually 🔁

👉 Check out my other templates https://n8n.io/creators/digimetalab

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 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 2 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 3 - Think

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

Block 4 - SerpAPI

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

Block 5 - Google Gemini Chat Model

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

Block 6 - Calculator

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

Block 7 - Simple Memory

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

Block 8 - Sticky Note10

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

Block 9 - Sticky Note17

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

Block 10 - Sticky Note18

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

Block 11 - Sticky Note19

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

Block 12 - Sticky Note20

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

Block 13 - Sticky Note21

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

3. Summary Table

Workflow	Build your first AI agent – powered by Google Gemini with memory
Complexity	intermediate
Nodes	13
Categories	Personal Productivity, AI Chatbot
Author	DigiMetaLab
Published	15 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4941/4941.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 Personal Productivity workflows AI Chatbot workflows

Frequently asked questions

What does Build your first AI agent – powered by Google Gemini with 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 Personal Productivity, AI Chatbot use case.

DigiMetaLab

4 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.toolthink @n8n/n8n-nodes-langchain.toolserpapi @n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.toolcalculator @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.stickynote

Complexity

intermediate

Published 15 Jun 2025

Likes 0

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Install path: /data/workflows/4941/4941.json

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Build your first AI agent – powered by Google Gemini with memory

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When chat message received

Block 2 - AI Agent

Block 3 - Think

Block 4 - SerpAPI

Block 5 - Google Gemini Chat Model

Block 6 - Calculator

Block 7 - Simple Memory

Block 8 - Sticky Note10

Block 9 - Sticky Note17

Block 10 - Sticky Note18

Block 11 - Sticky Note19

Block 12 - Sticky Note20

Block 13 - Sticky Note21

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