AI Agents
Build an Intelligent Agent with Memory and Search Tools
5 nodes
296
179
Automatic trigger
Workflow Description
Automation that creates a smart agent responding through chat, maintaining conversation history, and using OpenAI with search capabilities to answer user queries accurately. The agent retains context across interactions for coherent conversations.
How it works
- 1.Receive user message through the chat interface
- 2.Store message and previous context in memory buffer
- 3.Process request using OpenAI model with search tool access
- 4.Execute the intelligent agent to answer the query
- 5.Return response while preserving conversation history
Use cases
- Create a contextual assistant that answers questions while understanding conversation history
- Build a customer support bot that searches for information and remembers past interactions
- Automate knowledge consultations requiring research and reasoning
Requirements
- Valid OpenAI API key configured
- Search tool (SerpApi) enabled and authenticated
- Chat interface set up for user interactions
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
296
Downloads
179
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