AI Agents
Execute intelligent agent with contextual memory via webhook
11 nodes
327
147
Webhook
Workflow Description
A workflow that receives webhook requests and processes them using an OpenAI-powered intelligent agent, maintaining conversation context in a buffer memory system, and sending immediate responses back to the caller.
How it works
- 1.Receive incoming request through webhook trigger
- 2.Process input data and load conversation history into memory buffer
- 3.Send request to OpenAI agent for intelligent processing
- 4.Maintain context from previous interactions in memory
- 5.Return processed response via webhook callback
Use cases
- Build AI assistants that remember conversation history
- Handle customer inquiries with escalating complexity
- Automate decision-making tasks powered by language models
Requirements
- Valid OpenAI API key with appropriate permissions
- Understanding of webhook event structure and async handling
- Configuration of memory buffer window size based on use case
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Memory
OpenAI
AI Agent
Details
Trigger
Webhook
Nodes
11
Apps
3
Views
327
Downloads
147
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 (11)
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Set your system promt for AI
Set
Local n8n memory
Memory Buffer Window
ChatGPT model
OpenAI
Send respond
Webhook
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Webhook
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Agent
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