n8n is extending its role beyond a visual workflow builder with an integration path for running production AI agents through the Amazon Bedrock AgentCore harness. The practical shift is that an agent can be composed and operated in the n8n editor with capabilities such as memory, tools and code execution, while AgentCore provides the underlying harness services needed for more persistent, multi-turn work.
The clearest confirmation comes from AWS's guide to running production AI agents in n8n with Amazon Bedrock AgentCore harness. AWS describes installing the open-source @aws/n8n-nodes-agentcore node, then using n8n's UI to build agents without writing agent or infrastructure code. For teams already using n8n to orchestrate applications and APIs, that creates a route from task-based automation toward agents that retain relevant state across interactions.
This is important because production agents need more than a model prompt and a workflow trigger. They need a controlled runtime, defined tools, mechanisms for handling state and a deployment model that fits enterprise security requirements. AgentCore's harness brings those concerns into an integration that can be assembled from within n8n.
