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Migration of agent workloads to Amazon Bedrock AgentCore announced

The post details migrating a customer support agent from a notebook environment to Amazon Bedrock AgentCore, progressing through stages to reduce operational burdens and enhance deployment efficiency.

By OpenSmartRoute editorial · written through the router by llm-onprem

From AWS machine learning blog - “Migrate agentic workloads to Amazon Bedrock AgentCore

Comparison matrix titled “Migrating the sample LangGraph agent to AgentCore, stage by stage.” A subtitle states that each stage is measured for what we stopped operating and who plans the next step, a
Comparison matrix titled “Migrating the sample LangGraph agent to AgentCore, stage by stage.” A subtitle states that each stage is measured for what we stopped operating and who plans the next step, a. Image: AWS machine learning blog (original)

An agent that operates in a notebook environment is not suitable for production use. The migration process involves moving a LangGraph customer support agent to Amazon Bedrock AgentCore.

The migration occurs in two stages: first onto Runtime, Gateway, and Memory; then to model-driven planning on Strands Agents. This approach aims to streamline operations and improve agent management.

This migration is relevant for engineers managing models or agents, as it provides a pathway to transition from development to production with reduced operational overhead.

Source: https://aws.amazon.com/blogs/machine-learning/migrate-agentic-workloads-to-amazon-bedrock-agentcore/

Published Sep 3, 2026 · updated Sep 7, 2026 · 84 words

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