AI Agents
Automated workflow
15 nodes
214
141
Automatic trigger
Workflow Description
Automated workflow combining an AI agent with advanced language models to process inquiries through a chat interface while maintaining conversation context and improving automated responses intelligently.
How it works
- 1.Receive message via chat trigger
- 2.Process request through AI agent
- 3.Retrieve context from memory buffer
- 4.Generate response using enhanced language model
- 5.Deliver result to user
Use cases
- Build an intelligent assistant that understands sequential conversation context
- Automate responses to common inquiries with high accuracy
- Integrate multiple language models for enhanced response quality
Requirements
- Valid OpenAI API keys configured
- Optional local or cloud-hosted Ollama model setup
- Clear structure for context and memory management
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
214
Downloads
141
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)
/
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