AI Agents
Proxy with memory
13 nodes
221
134
Automatic trigger
Workflow Description
An intelligent proxy agent that retains conversation history in memory and processes it through OpenAI's model, enabling continuous contextual interactions while preserving prior data without loss.
How it works
- 1.Activate manual trigger or chat trigger to initiate interaction
- 2.Load previous conversation record from memory into buffer window
- 3.Send complete conversation to GPT model for intelligent processing
- 4.Save new response and context to memory for future conversations
- 5.Apply data compression when needed to optimize performance
Use cases
- Build a chatbot assistant that remembers context and previous conversations
- Automate processes requiring accumulated understanding across multiple interaction rounds
Requirements
- Valid OpenAI API key configured
- Memory system setup with appropriate maximum buffer for conversation volume
- File handler for read/write operations when persistent storage is required
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Memory
OpenAI
Read Write File
AI Agent
Chat Trigger
Details
Trigger
Automatic trigger
Nodes
13
Apps
5
Views
221
Downloads
134
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 (13)
/
Window Buffer Memory
Memory Buffer Window
OpenAI Chat Model
OpenAI
When clicking "Test workflow"
Manual Trigger
Get chinook.zip example
HTTP Request
Extract zip file
Compression
Save chinook.db locally
Read Write File
Load local chinook.db
Read Write File
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Combine chat input with the binary
Set
Sticky Note2
Sticky Note
AI Agent
Agent
Chat Trigger
Chat Trigger