AWS EC2 lifecycle manager with AI chat agent (describe, start, stop, reboot)
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 9 nodes and runs when a chat message arrives. Along the way it connects OpenAI Chat Model and HTTP Request. It also calls ec2.us-east-1.amazonaws.com over HTTP.
How it runs
Trigger: When a chat message arrives.
- EC2 Manager AI Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 5 tools (Stop Instance, Start Instance, Reboot Instance, Describe Instance…); memory: Simple Memory
Services it uses
HTTP calls to: ec2.us-east-1.amazonaws.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (5)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Http Request Tool
n8n-nodes-base.httpRequestTool - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
EC2 Lifecycle Manager with AI Chat Agent (Describe, Start, Stop, Reboot, Terminate) Watch the demo video below: Who’s it for This workflow is designed for DevOps engineers and cloud administrators who want to manage AWS EC2 instances directly from chat…