AI Agents
Interactive AI agent with conversation memory and API integration
9 nodes
304
151
Automatic trigger
Workflow Description
Build an AI agent that receives chat messages, maintains conversation history in memory, processes requests through OpenAI's models, and executes HTTP operations to integrate with external systems and retrieve data.
How it works
- 1.Receive user message through chat trigger interface
- 2.Store conversation context and previous messages in memory buffer
- 3.Process the request using an AI agent powered by OpenAI
- 4.Execute HTTP requests to connect with external services and APIs
- 5.Send the generated response back to the user
Use cases
- Intelligent customer support that maintains long conversation context and coherence
- Agent integration with external APIs for data retrieval and information lookup
- Personal assistant that learns from interaction history and improves responses over time
Requirements
- Valid OpenAI API key with appropriate permissions and quota
- Properly configured HTTP endpoints with correct authentication credentials
- Memory buffer settings adjusted for expected conversation length and complexity
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
9
Apps
5
Views
304
Downloads
151
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 (9)
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