AI-Powered Slack Assistant with Conversational Memory
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This n8n workflow creates a smart Slack assistant that leverages OpenAI's GPT-4o to respond to direct messages. It offers a seamless conversational experience by remembering past interactions and providing instant, relevant answers, perfect for internal knowledge sharing or support.
About This Workflow
Empower your team with an intelligent Slack assistant designed to streamline communication and knowledge access. This n8n workflow seamlessly integrates with Slack, acting as a responsive chatbot in your direct messages. Utilizing OpenAI's advanced gpt-4o model, it provides accurate and contextually aware responses. A key feature is its conversational memory, powered by Window Buffer Memory, which retains the last 10 turns of conversation, ensuring interactions feel natural and personalized. The workflow is designed for a smooth user experience, providing an immediate "On it!" acknowledgment and then cleaning up its own messages once a detailed AI response is ready. It also intelligently filters out bot messages, focusing solely on human interactions, and hints at integration with knowledge bases like Confluence.
Key Features
- Intelligent Slack Integration: Connects directly to Slack DMs to provide automated, real-time responses.
- Advanced AI Capabilities: Powered by OpenAI's
gpt-4ofor highly accurate and contextual answers. - Conversational Memory: Remembers the last 10 turns of conversation per user, enabling natural, ongoing dialogues.
- Enhanced User Experience: Sends immediate acknowledgments and deletes them upon delivering the final AI-generated response, keeping chats clean and focused.
- Bot Message Filtering: Automatically ignores messages from other bots to prevent unwanted loops or interactions.
How To Use
- Set up Slack API Subscription Events: Configure your Slack app to subscribe to relevant event types (e.g.,
app_mention,message.im) and point them to your n8n webhook URL. TheVerify Webhooknode will handle Slack's challenge requests. - Configure OpenAI Credentials: Add your OpenAI API key as a credential in n8n and select it in the
OpenAI Chat Modelnode. You can adjust the AI model if needed (e.g.,gpt-4o). - Adjust Conversational Memory: In the
Window Buffer Memorynode, review thecontextWindowLength(default 10) to control how many previous interactions the AI remembers for each conversation. - Customize Initial Acknowledgment: Modify the
Send Initial Messagenode to change the placeholder message or bot profile image. - Refine AI Agent Logic (Implicit): Integrate your core AI agent logic (e.g., vector store search, tool use) before the
OpenAI Chat Modelto provide relevant context for the LLM's responses, as hinted by the workflow's purpose. - Activate and Test: Once configured, activate the workflow and test it by sending direct messages to your Slack bot.
Apps Used
Workflow JSON
{
"id": "b7cad360-791f-428a-aef3-0c6b6979b47e",
"name": "AI-Powered Slack Assistant with Conversational Memory",
"nodes": 9,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: b7cad360-791f...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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