AI Agents
Build an AI Agent with OpenAI Memory and Search Integration
5 nodes
320
184
Automatic trigger
Workflow Description
An intelligent agent that receives queries through a chat interface, maintains conversation history in memory, and uses search tools to answer complex questions with full context awareness and consistent dialogue flow.
How it works
- 1.Receive user message via chat trigger
- 2.Process input with OpenAI language model
- 3.Maintain conversation history in buffer memory
- 4.Access search tools when required for information
- 5.Return contextual response to user
Use cases
- Smart customer service assistant that remembers previous interactions
- Interactive data analyst that gathers information from multiple sources
- Virtual tutor that provides personalized guidance based on conversation history
Requirements
- Valid OpenAI API key configured
- Search tool service enabled (SerpApi)
- Active chat interface connection
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
OpenAI
Memory
Tool
Chat Trigger
AI Agent
Details
Trigger
Automatic trigger
Nodes
5
Apps
5
Views
320
Downloads
184
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 (5)
OpenAI Chat Model
OpenAI
Window Buffer Memory
Memory Buffer Window
SerpAPI
Tool Serp Api
When chat message received
Chat Trigger
AI Agent
Agent