Build Your First AI Agent
VerifiedLaunch an AI agent chatbot using Google Gemini with memory for tool actions.
What is the Build Your First AI Agent workflow?
This workflow creates a basic AI agent that handles chat inputs, maintains conversation history, and uses Gemini to decide on tool execution.
Designed for n8n beginners starting with AI agents to build interactive, action-capable chatbots.
What it automates
Interactive customer support bot
Handle incoming chat queries from users, retain conversation history with Simple Memory, and let the AI Agent decide when to call tools for order lookups or FAQs using Google Gemini.
Personal task assistant
Users chat with the agent to manage reminders or quick research; memory keeps context across turns while Gemini selects appropriate tools for calendar or search actions.
Beginner AI prototyping
Test tool-calling logic in a safe environment where the Chat Trigger starts sessions and the agent uses Gemini to route requests without writing custom code.
Apps & integrations used
How to set up Build Your First AI Agent
- 1Open the template in n8n
- 2Add Google Gemini API credentials
- 3Configure the Chat Trigger node
- 4Connect AI Agent to Simple Memory
- 5Link Google Gemini Chat Model to the agent
- 6Activate the workflow and test via chat
Build Your First AI Agent: pros & cons
Pros
- +Beginner-friendly template structure
- +Built-in memory for multi-turn chats
- +Gemini handles tool selection automatically
- +Quick to deploy on n8n cloud or self-hosted
Cons
- –Requires valid Google Gemini API key
- –Tool definitions must be added manually
- –Memory is basic and resets on workflow restart
Frequently asked questions
It creates a basic AI agent that responds to chat messages, keeps context with Simple Memory, and uses Google Gemini to pick and run tools.
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