Build context-rich research agents with Deep Agents and Bedrock AgentCore
AWS quietly shipped the infrastructure layer most AI teams didn't know they needed: isolated execution environments for agents at scale.
Why it matters
AWS Bedrock AgentCore Runtime enables developers to deploy multi-step AI agents as managed services with session isolation—a critical infrastructure gap for enterprise AI workflows that goes beyond model APIs.
The key facts
9 to knowAWS Bedrock AgentCore Runtime launched for managed agent deployment
Deep Agents framework supports multi-step AI workflows
Session-isolated execution environments for agent services
AgentCore CLI enables deployment from development to production
Targets developers building competitive research agents and complex agentic systems
AWS Bedrock AgentCore Runtime supports session-isolated agent deployment
Deep Agents pattern enables context-rich, multi-step workflows
AgentCore CLI enables managed service deployment without infrastructure management
Target audience: developers building multi-step AI workflows requiring isolated execution
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, you'll build a competitive research agent that demonstrates this pattern end to end. This walkthrough targets developers building multi-step AI workflows who need isolated execution environments for their agents. In Part 2 of the notebook, you can deploy this same agent to Bedrock…