AI Agents
Process Slack messages with AI and maintain conversation context
10 nodes
301
138
Webhook
Workflow Description
Automation that receives Slack messages via webhook, processes them using Gemini AI while preserving conversation history, then sends intelligent replies automatically. Combines natural language processing with context management to deliver consistent, relevant responses.
How it works
- 1.Receive incoming message from Slack through webhook trigger
- 2.Load previous conversation context from memory buffer
- 3.Process message with Gemini model to generate appropriate response
- 4.Save new conversation turn to memory for future reference
- 5.Send reply back to Slack channel
Use cases
- Answer common questions automatically in team channels without manual intervention
- Maintain multi-turn conversations with full context awareness between interactions
- Provide intelligent support to teams with consistent, reliable AI-powered assistance
Requirements
- Slack workspace with permissions to read and send messages
- Google Gemini API key with proper authentication configured
- Webhook URL properly configured in Slack app settings
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
301
Downloads
138
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