AI Agents
Automated workflow
8 nodes
235
138
Automatic trigger
Workflow Description
An automated workflow powered by an AI agent that processes inquiries through a chat interface, maintains conversation context in memory, and stores data in MongoDB for later analysis and auditing.
How it works
- 1.Receive incoming message via Chat Trigger
- 2.Process request using AI Agent backed by OpenAI model
- 3.Preserve conversation history through Memory Buffer Window
- 4.Retrieve data from MongoDB when needed
- 5.Execute available tools based on task requirements
- 6.Deliver processed response to the user
Use cases
- Automated customer support that intelligently responds to common questions
- Virtual assistant that learns from previous conversation context
- Support system that automatically retrieves customer information from database
Requirements
- Valid OpenAI API key configured
- Active connection to MongoDB database
- Chat Trigger enabled to receive incoming messages
- Memory buffer settings configured for context retention
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
OpenAI
MongoDB
Memory
Chat Trigger
Tool
AI Agent
Details
Trigger
Automatic trigger
Nodes
8
Apps
6
Views
235
Downloads
138
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 (8)
OpenAI Chat Model
OpenAI
MongoDBAggregate
Mongo Db Tool
Window Buffer Memory
Memory Buffer Window
When chat message received
Chat Trigger
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