AI Agents
Intelligent Slack replies with AI Agent and memory
10 nodes
297
152
Webhook
Workflow Description
An automation that receives Slack messages via webhook, processes them with an AI Agent powered by Gemini for intelligent understanding, maintains conversation memory for context awareness, and automatically sends contextual replies back to Slack channels without manual intervention.
How it works
- 1.Receive incoming Slack messages through webhook trigger
- 2.Process message with AI Agent using Gemini language model
- 3.Query conversation memory buffer to understand discussion context
- 4.Generate intelligent reply and send it back to Slack channel
Use cases
- Automatically answer frequently asked questions with contextual accuracy
- Handle customer inquiries in Slack without requiring human intervention
- Build a smart assistant that learns from historical conversation logs
Requirements
- Active Slack workspace with message sending permissions configured
- Valid Google Gemini API key with proper authentication
- Configured webhook endpoint to receive events from Slack
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Gemini
Memory
Slack
AI Agent
Details
Trigger
Webhook
Nodes
10
Apps
4
Views
297
Downloads
152
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 (10)
Sticky Note
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Google Gemini Chat Model
Gemini Model
Window Buffer Memory
Memory Buffer Window
Sticky Note4
Sticky Note
Sticky Note1
Sticky Note
Send response back to slack channel
Slack
Webhook to receive message
Webhook
Agent
Agent