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# 资源
<a name="resources"></a>

使用以下资源 AWS 和其他与自治代理开发相关的资源。

## AWS 博客
<a name="aws-blogs"></a>
+ [Amazon Bedrock AgentCore Memory：构建情境感知代理](https://aws.amazon.com/blogs/machine-learning/amazon-bedrock-agentcore-memory-building-context-aware-agents/)
+ [使用 Amazon Bedrock 代理构建强大的生成式人工智能应用程序的最佳实践 – 第 1 部分](https://aws.amazon.com/blogs/machine-learning/best-practices-for-building-robust-generative-ai-applications-with-amazon-bedrock-agents-part-1/)
+ [使用 Amazon Bedrock 代理构建强大的生成式人工智能应用程序的最佳实践 – 第 2 部分](https://aws.amazon.com/blogs/machine-learning/best-practices-for-building-robust-generative-ai-applications-with-amazon-bedrock-agents-part-2/)
+ [使用LlamaIndex和 Amazon Bedrock 构建强大的 RAG 管道](https://aws.amazon.com/blogs/machine-learning/build-powerful-rag-pipelines-with-llamaindex-and-amazon-bedrock/)
+ [使用 Amazon Bedrock AgentCore 可观测性构建值得信赖的 AI 代理](https://aws.amazon.com/blogs/machine-learning/build-trustworthy-ai-agents-with-amazon-bedrock-agentcore-observability/)
+ [使用 Amazon Bedrock 和 RAGAS 评估 RAG 的回应 LlamaIndex](https://aws.amazon.com/blogs/machine-learning/evaluate-rag-responses-with-amazon-bedrock-llamaindex-and-ragas/)
+ [Amazon Bedrock AgentCore 代码解释器简介](https://aws.amazon.com/blogs/machine-learning/introducing-the-amazon-bedrock-agentcore-code-interpreter/)
+ [Amazon Bedrock AgentCore Gateway 简介：转变企业 AI 代理工具的开发](https://aws.amazon.com/blogs/machine-learning/introducing-amazon-bedrock-agentcore-gateway-transforming-enterprise-ai-agent-tool-development/)
+ [Amazon Bedrock AgentCore Identity 简介：大规模保护代理人工智能](https://aws.amazon.com/blogs/machine-learning/introducing-amazon-bedrock-agentcore-identity-securing-agentic-ai-at-scale/) 
+ [开源 AI 代理 SDK 简Strands Agents介](https://aws.amazon.com/blogs/opensource/introducing-strands-agents-an-open-source-ai-agents-sdk/)
+ [代理互操作性开放协议第 1 部分：MCP 上的代理间通信](https://aws.amazon.com/blogs/opensource/open-protocols-for-agent-interoperability-part-1-inter-agent-communication-on-mcp/)
+ [在 Amazon Bedrock AgentCore Runtime 上安全启动和扩展您的代理和工具](https://aws.amazon.com/blogs/machine-learning/securely-launch-and-scale-your-agents-and-tools-on-amazon-bedrock-agentcore-runtime/)
+ [AWS Transform 适用于.NET，这是第一款用于大规模实现.NET 应用程序现代化的代理 AI 服务](https://aws.amazon.com/blogs/aws/aws-transform-for-net-the-first-agentic-ai-service-for-modernizing-net-applications-at-scale/)
+ [AWS 每周综述：Strands Agents](https://aws.amazon.com/blogs/aws/aws-weekly-roundup-strands-agents-aws-transform-amazon-bedrock-guardrails-aws-codebuild-and-more-may-19-2025/)

## AWS 规范性指导
<a name="aws-prescriptive-guidance"></a>
+ [在上操作代理 AI AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/strategy-operationalizing-agentic-ai/)
+ [代理人工智能的基础 AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-foundations/)
+ [Agentic AI 模式和工作流程已开启 AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-patterns/)
+ [为代理人工智能构建无服务器架构 AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-serverless/)
+ [为代理人工智能构建多租户架构 AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-multitenant/)
+ [开启代理人工智能的安全性 AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-security/introduction.html)
+ [检索增强生成选项和架构 AWS](https://docs.aws.amazon.com/prescriptive-guidance/latest/retrieval-augmented-generation-options/introduction.html)

## AWS 资源
<a name="aws-resources"></a>
+ [Amazon Bedrock 文档](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html)
+ [亚马逊 Bedrock 文档 AgentCore ](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/what-is-bedrock-agentcore.html)
+ [Amazon Bedrock AgentCore 入门工具包](https://github.com/aws/bedrock-agentcore-starter-toolkit)（GitHub 存储库）
+ [亚马逊 Nova 文档](https://docs.aws.amazon.com/nova/latest/userguide/what-is-nova.html)
+ [AWS MCP 服务器](https://github.com/awslabs/mcp)（GitHub存储库）

## 其他 资源
<a name="other-resources"></a>
+ [AutoGen文档](https://www.microsoft.com/en-us/research/project/autogen/) (Microsoft)
+ [建立有效的代理人](https://www.anthropic.com/engineering/building-effective-agents) (Anthropic)
+ [CrewAI GitHub存储库](https://github.com/crewAIInc/crewAI)
+ [LangChain 文档](https://python.langchain.com/docs/get_started/introduction)
+ [LangGraph平台](https://blog.langchain.dev/langgraph-platform-ga/)
+ [LlamaIndex 文档](https://developers.llamaindex.ai/python/framework/understanding/rag/)
+ [模型上下文协议文档](https://modelcontextprotocol.io/)
+ [Strands Agents 文档](https://strandsagents.com/)
+ [Strands Agents工具概述](https://strandsagents.com/0.1.x/user-guide/concepts/tools/tools_overview/)
+ [Strands Agents快速入门指南](https://strandsagents.com/0.1.x/user-guide/quickstart/)