AI Agents
Build an intelligent agent memory system with Google Sheets
17 nodes
307
151
Webhook
Workflow Description
This automation enables an AI agent to maintain an organized record of conversations and data in Google Sheets, allowing it to retrieve previous context and make informed decisions based on accumulated history.
How it works
- 1.Receive request via webhook and pass it to the intelligent agent
- 2.Process the request with Gemini and generate an appropriate response
- 3.Save conversation and key data to the Google Sheets document
- 4.Retrieve previous data from the sheet to enhance context awareness
- 5.Send final response with complete transaction documentation
Use cases
- Track recurring customer interactions and leverage historical records for better responses
- Build a dynamic knowledge base for the agent that evolves with usage
- Manage tasks and projects while preserving full conversation context
Requirements
- Active Google Cloud account with Sheets and Gemini APIs enabled
- Valid webhook credentials for reception and triggering
- Pre-organized Google Sheets document for storing records
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
AI Agent
Gemini
Google Sheets
Details
Trigger
Webhook
Nodes
17
Apps
3
Views
307
Downloads
151
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 (17)
/
Webhook
Webhook
AI Agent
Agent
Google Gemini Chat Model
Gemini Model
Edit Fields
Set
HTTP Request
HTTP Request
Get History
Google Sheets
Prepare Prompt
Set
Save History
Google Sheets
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note
Sticky Note5
Sticky Note
Split History
Code
Sticky Note6
Sticky Note
Sticky Note7
Sticky Note