AI Agents
Build an Intelligent Agent with Memory and Integrated Tools
10 nodes
231
136
Automatic trigger
Workflow Description
A workflow integrating an AI agent with contextual memory and multiple tools (Wikipedia and HTTP requests) to handle complex inquiries. It receives input through manual chat and returns reliable answers while maintaining conversation context.
How it works
- 1.Trigger workflow via manual chat interface
- 2.Process user query through the intelligent agent
- 3.Retrieve information from Wikipedia and external sources
- 4.Store conversation context in memory buffer
- 5.Generate and deliver response to user
Use cases
- Create intelligent conversations that remember prior context
- Build a research assistant pulling from multiple sources
- Automate complex inquiries requiring specialized tools
Requirements
- Ollama server running the language model
- API keys for external services
- Chat interface for user interaction
Service Value
Ready-made workflow template for automation delivery and service execution.
Apps Used
Manual Chat Trigger
Tool
Memory
AI Agent
HTTP Request
Lm Chat Ollama
Details
Trigger
Automatic trigger
Nodes
10
Apps
6
Views
231
Downloads
136
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 (10)
Sticky Note4
Sticky Note
On new manual Chat Message
Manual Chat Trigger
Wikipedia
Tool Wikipedia
Sticky Note3
Sticky Note
Sticky Note6
Sticky Note
Window Buffer Memory
Memory Buffer Window
AI Agent
Agent
Weather HTTP Request
HTTP Request
Ollama Chat Model
Lm Chat Ollama
Sticky Note
Sticky Note