AI Agents
Automated workflow
5 nodes
218
143
Automatic trigger
Workflow Description
An intelligent agent workflow that combines OpenAI's language model with a dynamic conversation memory buffer and SerpAPI search capability, enabling the agent to answer user inquiries with current web-sourced information while maintaining conversation context.
How it works
- 1.Activate the workflow when a user message arrives through the chat trigger
- 2.Store and retrieve previous conversation context from the memory buffer window
- 3.Process the user query using OpenAI's language model integrated within the agent
- 4.Execute web search via SerpAPI tool when fresh information is required
- 5.Deliver the complete response to the user while preserving conversation history
Use cases
- Build an intelligent assistant that answers questions using real-time web information
- Automate interactive customer support with full conversation context awareness
- Create an advanced search bot that maintains historical records of inquiries and responses
Requirements
- Valid OpenAI API key with appropriate model access
- SerpAPI key for web search functionality
- Active chat channel or webhook endpoint to receive user messages
- Memory buffer configured with appropriate retention limits
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Chat Trigger
Memory
OpenAI
Tool
AI Agent
Details
Trigger
Automatic trigger
Nodes
5
Apps
5
Views
218
Downloads
143
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)
When chat message received
Chat Trigger
Simple Memory
Memory Buffer Window
OpenAI Chat Model
OpenAI
SerpAPI
Tool Serp Api
AI Agent
Agent