AI Agents
Build an interactive AI agent with conversation memory
5 nodes
563
206
Automatic trigger
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Workflow Description
Automation that creates an AI agent receiving messages via chat interface, maintaining conversation context in memory, and processing queries using OpenAI models with capability to execute external HTTP requests.
How it works
- 1.Receive user messages through the chat trigger interface
- 2.Store conversation context and previous messages in agent memory
- 3.Process queries using OpenAI language model
- 4.Execute HTTP requests when external data is needed
- 5.Return responses to user while preserving conversation context
Use cases
- Intelligent multi-turn assistant that understands historical context
- Advanced inquiry bot integrating external data sources into responses
Requirements
- Valid OpenAI API key configured
- Workflow design connecting chat trigger, agent, memory, and HTTP nodes in sequence
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Chat Trigger
Memory
AI Agent
OpenAI
HTTP Request
Details
Trigger
Automatic trigger
Nodes
5
Apps
5
Views
563
Downloads
206
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
Sticky Note14
Sticky Note
Window Buffer Memory
Memory Buffer Window
Jina.ai Web Scraping Agent
Agent
gpt-4o-mini
OpenAI
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Jina.ai Web Scraper Tool
HTTP Request
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