Running deep research AI agents on Amazon Bedrock AgentCore

AI agents are evolving beyond basic single-task helpers into more powerful systems that can plan, critique, and collaborate with other agents to solve complex problems. Deep Agents—a recently introduced framework built on LangGraph—bring these capabilities to life, enabling multi-agent workflows that mirror real-world team dynamics. The challenge, however, is not just building such agents but also running them reliably and securely in production. This is where Amazon Bedrock AgentCore Runtime comes in. By providing a secure, serverless environment purpose-built for AI agents and tools, Runtime makes it possible to deploy Deep Agents at enterprise scale without the heavy lifting of managing infrastructure.

In this post, we demonstrate how to deploy Deep Agents on AgentCore Runtime. As shown in the following figure, AgentCore Runtime scales any agent and provides session isolation by allocating a new microVM for each new session.

What is Amazon Bedrock AgentCore?

Amazon Bedrock AgentCore is ...