用 Deep Agents 和 Bedrock AgentCore 构建上下文丰富的研究智能体

精选理由

AWS 教你用 Deep Agents 和 Bedrock AgentCore 搭研究智能体，还能用 CLI 部署成托管服务，适合搞多步AI流程的开发者。

AI 摘要

本教程介绍如何使用 Deep Agents 和 Bedrock AgentCore 构建竞争研究智能体。你将在多步AI工作流中创建隔离执行环境。在第二部分，你可以通过 AgentCore CLI 将同一智能体部署到 Bedrock AgentCore Runtime，作为托管、会话隔离的服务运行。

用 Deep Agents 和 Bedrock AgentCore 构建上下文丰富的研究智能体 — 图片来源 · AWS Machine Learning Blog

原文 · AWS Machine Learning Blog

Build context-rich research agents with Deep Agents and Bedrock AgentCore

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 AgentCore Runtime using the AgentCore CLI, so it runs as a managed, session-isolated service.

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