Build context-rich research agents with Deep Agents and Bedrock AgentCore
Quick Answer
AWS introduces a method to build context-rich research agents using Deep Agents and Bedrock AgentCore.
Quick Take
AWS introduces a method to build context-rich research agents using Deep Agents and Bedrock AgentCore. This guide is aimed at developers creating multi-step AI workflows requiring isolated execution environments, allowing deployment to Bedrock AgentCore Runtime via AgentCore CLI for managed services.
Key Points
- Developers can create competitive research agents with isolated execution environments.
- The agent can be deployed to Bedrock AgentCore Runtime using AgentCore CLI.
- This approach enhances the management of multi-step AI workflows.
- The service runs as a managed, session-isolated solution.
Article Excerpt
From source RSS / original summaryIn 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 AgentCore Runtime using the AgentCore CLI, so it runs as a managed, session-isolated service.
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