AI Agents
Automated workflow
15 nodes
206
109
Automatic trigger
Workflow Description
An intelligent automation workflow combining AI agents with advanced language models to process inquiries automatically. It integrates memory management and connects OpenAI or Ollama for context-aware responses without manual intervention.
How it works
- 1.Receive messages through Chat Trigger
- 2.Process requests using advanced AI Agent
- 3.Query language models (OpenAI or Ollama) for responses
- 4.Maintain conversation context via Buffer Memory
- 5.Execute LLM Chain to optimize results
- 6.Deliver final response to user
Use cases
- Intelligent customer service that auto-responds to inquiries accurately
- Virtual assistant answering frequently asked questions
- Smart in-app search engine with contextual understanding
Requirements
- OpenAI API key or local Ollama server configured
- Chat Trigger setup to receive incoming messages
- Conversation memory configuration for context preservation
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Chat Trigger
AI Agent
OpenAI
Memory
LLM Chain
Lm Chat Ollama
Details
Trigger
Automatic trigger
Nodes
15
Apps
6
Views
206
Downloads
109
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 (15)
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When chat message received
Chat Trigger
AI Agent
Agent
DeepSeek
OpenAI
Window Buffer Memory
Memory Buffer Window
Basic LLM Chain2
LLM Chain
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Ollama DeepSeek
Lm Chat Ollama
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
DeepSeek JSON Body
HTTP Request
DeepSeek Raw Body
HTTP Request
Sticky Note4
Sticky Note
Sticky Note5
Sticky Note
Sticky Note6
Sticky Note