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Claude Managed Agents 内置记忆功能公开测试

Built-in memory for Claude Managed AgentsApril 23, 2026

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Built-in memory for Claude Managed Agents

Claude 托管代理的内置记忆

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  • April 23, 2026
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  • https://claude.com/blog/claude-managed-agents-memory
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  • https://claude.com/blog/claude-managed-agents-memory

Memory on Claude Managed Agents is available today in public beta. Your agents can now learn from every session, using an intelligence-optimized memory layer that balances performance with flexibility. Because memories are stored as files, developers can export them, manage them via the API, and keep full control over what agents retain.

Claude 托管代理的记忆功能今日起在公开测试版中可用。您的代理现在可以从每次会话中学习，利用一种智能优化的记忆层，在性能与灵活性之间取得平衡。由于记忆以文件形式存储，开发者可以导出它们、通过 API 进行管理，并对代理保留的内容保持完全控制。

How memory works in Claude Manged Agents

Claude 托管代理中的记忆工作原理

Memory for Claude Managed Agents is a built-in, intelligence-optimized memory layer that lets agents learn from every session. Memory is optimized against internal benchmarks for long-running agents that improve across sessions and share what they've learned with each other.

Claude 托管代理的记忆是一个内置的、智能优化的记忆层，让代理能够从每次会话中学习。记忆针对内部基准进行了优化，适用于跨会话改进并相互分享所学内容的长期运行代理。

We've found that agents are most effective with memory when it builds on the tools they already use. Memory on Claude Managed Agents mounts directly onto a filesystem, so Claude can rely on the same bash and code execution capabilities that make it effective at agentic tasks. With filesystem-based memory, our latest models save more comprehensive, well-organized memories and are more discerning about what to remember for a given task.

我们发现，当记忆建立在代理已使用的工具之上时，代理的记忆效果最佳。Claude 托管代理的记忆直接挂载到文件系统上，因此 Claude 可以依赖相同的 bash 和代码执行能力，这些能力使其在代理任务中表现出色。借助基于文件系统的记忆，我们最新的模型能够保存更全面、组织更良好的记忆，并且对于特定任务应记住什么更具辨别力。

Portable memories for production-grade agents

面向生产级代理的可移植记忆

Memory is built for enterprise deployments, with scoped permissions, audit logs, and full programmatic control. Stores can be shared across multiple agents with different access scopes. For example, an org-wide store might be read-only, while per-user stores allow reads and writes. Multiple agents can work concurrently against the same store without overwriting each other.

记忆专为企业部署而设计，具备作用域权限、审计日志和完整的程序化控制。存储可以在多个具有不同访问范围的代理之间共享。例如，组织级存储可能为只读，而用户级存储则允许读写。多个代理可以同时在同一存储上工作，而不会相互覆盖。

Memories are files that can be exported and independently managed via the API, giving developers full control. All changes are tracked with a detailed audit log, so you can tell which agent and session a memory came from. You can roll back to an earlier version or redact content from history. Updates also surface in the Claude Console as session events, so developers can trace what an agent learned and where it came from.

记忆是文件，可以通过 API 导出和独立管理，赋予开发者完全控制权。所有更改都通过详细的审计日志进行跟踪，因此您可以知道记忆来自哪个代理和会话。您可以回滚到早期版本或从历史记录中编辑内容。更新也会在 Claude 控制台中作为会话事件显示，使开发者能够追踪代理学到了什么以及来源。

What teams are building

团队正在构建的内容

Teams have been using memory to close feedback loops, speed up verification, and replace custom retrieval infrastructure:

团队一直在利用记忆来闭合反馈循环、加速验证，并替代自定义检索基础设施：

  • Netflix agents carry context across sessions, including insights that took multiple turns to uncover and corrections from a human mid-conversation, instead of manually updating prompts and skills.
  • Rakuten's task-based long-running agents use memory to learn from every session and avoid repeating past mistakes, cutting first-pass errors by 97%, all within workspace-scoped, observable boundaries.
  • Wisedocs built their document verification pipeline on Managed Agents, using cross-session memory to spot and remember recurring document issues, speeding up verification by 30%.‍
  • Ando is building their workplace messaging platform on Managed Agents, capturing how each organization interacts instead of building memory infrastructure themselves.
  • Netflix 代理跨会话携带上下文，包括需要多轮才能发现的见解以及对话中途来自人类的修正，而无需手动更新提示和技能。
  • 乐天的基于任务的长运行代理利用记忆从每次会话中学习，避免重复过去的错误，将首次错误率降低了97%，这一切都在工作区范围内、可观察的边界内进行。
  • Wisedocs在Managed Agents上构建了文档验证管道，利用跨会话记忆来识别并记住重复出现的文档问题，将验证速度提高了30%。
  • Ando正在Managed Agents上构建他们的工作场所消息平台，捕捉每个组织的互动方式，而不是自己构建记忆基础设施。

Memory in Claude Managed Agents lets us put continuous learning into production at scale. Our agents distill lessons from every session, delivering 97% fewer first-pass errors at 27% lower cost and 34% lower latency, so users spend less time nudging agents to fix mistakes the system has already learned to avoid. And because memory is workspace-scoped and observable, continuous learning stays under our control.

Claude Managed Agents中的记忆让我们能够将持续学习投入大规模生产。我们的代理从每次会话中提炼经验，首次错误率降低97%，成本降低27%，延迟降低34%，因此用户无需频繁提示代理修复系统已学会避免的错误。由于记忆是工作区范围且可观察的，持续学习始终在我们的控制之下。

Yusuke Kaji, General Manager, AI for Business

Yusuke Kaji，AI业务总经理

A lot of our work at Ando is making sense of fast-moving, messy conversations between teams and their agents. Memory lets us stop building memory infra and focus on the product itself.

我们在Ando的很多工作都是理解团队及其代理之间快速变化、混乱的对话。记忆让我们不再需要构建记忆基础设施，而是专注于产品本身。

Sara Du, Founder

Sara Du，创始人

A good memory API gets rid of many infrastructure headaches, especially when building across agents and sessions. In our document verification pipeline on Claude Managed Agents, we used cross-session memory to let our agents identify and remember common issues — including ones we didn't think about. It's sped verification up 30%.

一个好的记忆API能消除许多基础设施方面的麻烦，尤其是在跨代理和会话进行构建时。在我们基于Claude Managed Agents的文档验证管道中，我们利用跨会话记忆让代理识别并记住常见问题——包括我们未曾考虑过的问题。这使验证速度提升了30%。

Denys Linkov, Head of Machine Learning

Denys Linkov，机器学习负责人

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Getting started

入门指南

Memory on Managed Agents is now available in public beta on the Claude Platform. Visit the Claude Console or use our new CLI to deploy your first agent with memory. Explore the documentation to learn more.

Managed Agents上的记忆功能现已在Claude平台公开测试版中提供。访问Claude控制台或使用我们的新CLI部署您的第一个带记忆的代理。查阅文档了解更多信息。

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