AI Agents
Automated workflow
15 nodes
291
163
Automatic trigger
Workflow Description
Intelligent workflow combining AI agents with multiple language models. Receives queries through live chat, processes them via OpenAI agent while maintaining conversation memory, and supports local Ollama processing. Delivers context-aware responses in unified interface.
How it works
- 1.Receive user query through real-time chat trigger interface
- 2.Route message to intelligent agent for multi-model processing
- 3.Store conversation context in sliding window memory buffer
- 4.Execute query through LLM chain with OpenAI or Ollama model
- 5.Return complete response to user with full context
Use cases
- Automated customer support systems maintaining conversation history and continuity
- Hybrid AI assistants combining cloud OpenAI with local Ollama models for flexibility
- Complex query processing requiring conversation memory and contextual understanding
Requirements
- Valid OpenAI API key configured for language model operations
- Local Ollama installation if using local models instead of cloud API
- Properly configured memory buffer settings to retain conversation history effectively
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
291
Downloads
163
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