Slack AI Assistant Community Template
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A community-contributed template for an AI-powered Slack bot that responds to messages using Gemini and maintains conversation history.
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About This Workflow
Overview
This workflow creates an AI-powered Slack bot. It receives messages via a webhook, processes them using the Google Gemini AI model, stores conversation history using window buffer memory, and sends the AI's response back to the Slack channel. This template is designed for community contribution and is unverified.
Key Features
- Receives messages via a POST webhook.
- Processes user messages using Google Gemini AI.
- Maintains conversation history with window buffer memory.
- Sends AI-generated responses back to the Slack channel.
- Customizable system message for the AI agent.
How To Use
- Import the workflow: Import this JSON into your n8n instance.
- Configure Webhook: Set up a secure webhook URL for receiving Slack messages. Ensure it uses HTTPS.
- Configure AI Model: Select your preferred Google Gemini model (e.g.,
models/gemini-1.5-flash-latest). - Configure Memory: Set up the
Window Buffer Memorynode. You will need to provide asessionKey(e.g., your Slack token) to store conversation history. - Configure Slack Node: Set up the Slack node with your bot token and the correct channel ID to send responses.
- Activate: Enable the workflow and test it by sending messages to your Slack integration.
Apps Used
Workflow JSON
{
"id": "e99c17a7-b6e9-4d85-b6e9-4feaaf28bf97",
"name": "Slack AI Assistant Community Template",
"nodes": 0,
"category": "Slack Integrations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: e99c17a7-b6e9...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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Verification Info
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