Migrate agentic workloads to Amazon Bedrock AgentCore
Not a pilot. Amazon Bedrock AgentCore lets you move agentic workloads from notebook to production — with a migration blueprint.
Why it matters
Amazon is lowering the operational bar to move agents from dev to production, addressing the gap between proof-of-concept and deployed autonomy. This is agent infrastructure maturing.
The key facts
8 to knowMigration targets: LangGraph → Bedrock AgentCore Runtime, Gateway, Memory, then Strands Agents model-driven planning
Two-stage deployment approach reduces operational burden
Focus on production reliability (not notebook prototyping)
AWS Bedrock AgentCore as centralized agent platform
Two-stage migration pattern: Runtime/Gateway/Memory → model-driven planning on Strands Agents
LangGraph customer support agent used as reference implementation
Focus on retiring operational burdens in agent deployment
AWS framing agents as a production category requiring specialized infrastructure
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: An agent that works in a notebook is not an agent in production. This post walks through migrating a LangGraph customer support agent to Amazon Bedrock AgentCore in two stages: onto Runtime, Gateway, and Memory, then to model-driven planning on Strands Agents, retiring operational burdens along the…