This n8n workflow creates a versatile AI chatbot capable of engaging in contextual conversations via webhooks. It's designed to receive incoming messages from a triggering system, process them using OpenAI's powerful chat models, and then send the AI-generated response back through the same webhook. A core feature is its integration of a 'Window Buffer Memory,' which intelligently maintains a short-term history of the conversation. This ensures the AI remembers recent interactions within a specific session, allowing for more coherent, relevant, and natural-feeling dialogues. The workflow dynamically manages session-specific memory using a unique `sessionId`, making it adaptable for multiple concurrent users or conversations. This setup is ideal for embedding an intelligent conversational agent into custom applications, messaging platforms, or any system that can send and receive webhook payloads, providing a dynamic and context-aware AI interface.
Empower your applications with the n8n webhook-triggered OpenAI chatbot, delivering context-aware interactions that enhance user engagement and satisfaction.
Free n8n workflow template ready to import
Just upload and configure
Tested and optimized
Complete setup guide
Try a prebuilt agent—white label friendly when you’d rather ship than reinvent the wheel.
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Click the "Download Workflow" button above to get the JSON file.
In your n8n instance, go to Workflows → Import and select the JSON file.
Set up your Memory Buffer and other service credentials in n8n.
Activate the workflow and test it to ensure everything works correctly.
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