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Run production AI agents in n8n with Amazon Bedrock AgentCore harness

Amazon Bedrock AgentCore is now GA—and n8n just shipped a community node to run production agents without writing agent code.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Agent infrastructure is maturing from labs to platforms. Bedrock's AgentCore harness + n8n integration lowers the barrier for practitioners to deploy multi-step autonomous workflows with memory, tool use, and code execution—a signal that agent platforms are moving from pilot to operational.

The key facts

11 to know
  1. Amazon Bedrock AgentCore harness now generally available

  2. n8n open-source community node integration shipped

  3. Features: persistent memory, real tools, code execution, VPC isolation

  4. No infrastructure provisioning or agent-specific code required

  5. Agent step can be added directly in n8n editor

  6. Production-grade deployment framed as the headline

  7. n8n community node integration available

  8. Agents support persistent memory, real tool integration, code execution, VPC isolation

  9. No infrastructure code or agent code required

  10. Agent step available directly in n8n editor

  11. Published Aug 5, 2026

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: Amazon Bedrock AgentCore harness is now generally available. Learn how to add it as an agent step in n8n workflows using a new open-source community node, and build agents with persistent memory, real tools, code execution, and VPC isolation — all from the n8n editor with no infrastructure or agent…
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