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Amazon Bedrock AgentCore harness正式可用:数分钟从想法到生产级智能体

Amazon Bedrock AgentCore harness is now generally available: Go from idea to production-grade agent in minutes

精选理由

AWS又出新东西了,AgentCore harness让你只用两个API,几秒就能跑起一个能读文件、写代码、浏览网页、换模型的智能体,还自带追踪和托管环境,省心得很。

AI 摘要

Amazon Bedrock AgentCore harness现已正式可用,仅需CreateHarness和InvokeHarness两个API调用即可在数秒内启动一个智能体。该智能体运行在隔离环境(含文件系统和shell)中,可安全读写文件、运行命令和编写代码。它支持跨会话记忆用户和对话,接入AWS策展的技能目录,通过网关或MCP调用工具,并能在不丢失上下文的情况下中途切换模型提供商。每个步骤实时流式传输并自动追踪到Amazon CloudWatch,无需编写编排代码或构建容器。

图片来源 · AWS Machine Learning Blog
原文 · AWS Machine Learning Blog

Amazon Bedrock AgentCore harness is now generally available: Go from idea to production-grade agent in minutes

Today, Amazon Bedrock AgentCore harness is generally available. Two API calls (CreateHarness to define an agent, and InvokeHarness to run it), and you have an agent running in seconds. The agent runs in its own isolated environment with a filesystem and shell, so it can read files, run commands, and write code safely. It remembers users and conversations across sessions, picks up skills you point it at (including the AWS-curated catalog), browses the web, calls your tools through gateway or MCP, and switches model providers mid-session without losing context. Every step streams back to you in real time and is automatically traced to Amazon CloudWatch. You don’t need to write orchestration code or build a container, unless you want to.