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← AI PulseAug 5, 2026

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Amazon Bedrock AgentCore Harness Now Generally Available

The Amazon Bedrock AgentCore harness is now generally available, allowing users to integrate AI agents with persistent memory, real tools, code execution, and VPC isolation into n8n workflows.

By Illumora Editorial

Source · Aug 5, 2026, 6:00 PM · On Illumora · Aug 5, 2026, 6:07 PM

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Read the source →AWS Machine Learning Blog — Run production AI agents in n8n with Amazon Bedrock AgentCore harness | Amazon Web Services
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The Amazon Bedrock AgentCore harness has reached general availability, according to the AWS Machine Learning Blog. This release enables users to incorporate AI agents into n8n workflows through a new open-source community node.

Key Points

  • The Amazon Bedrock AgentCore harness is now generally available.
  • It can be added as an agent step within n8n workflows.
  • A new open-source community node facilitates this integration.
  • Agents can be built with persistent memory capabilities.
  • The harness supports the use of real tools and code execution.
  • VPC isolation is available for agents.
  • Agent creation and management occur within the n8n editor, requiring no infrastructure or agent code.

Context

According to the AWS Machine Learning Blog, the general availability of the Amazon Bedrock AgentCore harness provides a method for integrating advanced AI agent functionalities directly into n8n workflows. This integration leverages an open-source community node, simplifying the process for users.

Why It Matters

This release offers builders a streamlined approach to deploying AI agents with robust features like persistent memory and secure VPC isolation, directly within their n8n automation environments, without needing to manage underlying infrastructure or write agent-specific code.

What To Do

  • Review the Amazon Bedrock AgentCore harness documentation for integration details.
  • Explore the new open-source community node for n8n to understand its capabilities.
  • Test building an agent with persistent memory within the n8n editor.
  • Investigate the VPC isolation features for secure agent deployment.