AI Agents
Build an intelligent agent that learns context and responds to web requests
6 nodes
300
150
Webhook
Workflow Description
An automation that receives requests via webhook and passes them to an intelligent agent powered by Gemini, maintaining conversation context in memory to improve subsequent responses.
How it works
- 1.Receive incoming request through webhook
- 2.Store previous context in memory buffer
- 3.Send request and context to intelligent agent using Gemini
- 4.Process the question or task through the language model
- 5.Return response to sender via webhook
Use cases
- Smart customer support service that remembers interaction history
- Virtual assistant for e-commerce stores that understands previous context
- Automated consulting platform that learns from each inquiry
Requirements
- Google Gemini API key
- Correct webhook URL to receive requests
- Memory buffer configured to preserve context
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Memory
Gemini
AI Agent
Details
Trigger
Webhook
Nodes
6
Apps
3
Views
300
Downloads
150
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (6)
Webhook
Webhook
Simple Memory
Memory Buffer Window
Google Gemini Chat Model
Gemini Model
Respond to Webhook
Webhook
correctNaming
Code
Discord AI Response Agent
Agent