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Anthropic 将 Claude Cowork 过渡到基于云的执行

Anthropic 已将 Claude Cowork 任务转移到 Pro 和 Max 用户的基于云的处理,从而实现跨设备会话连续性,同时通过桌面应用程序保持本地文件访问。

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Source-page capture accompanying Anthropic transitions Claude Cowork to cloud-based execution
来源参考来源记录
出版商
support.claude.com
来源链接
support.claude.comhttps://support.claude.com/en/articles/15520349-use-claude-cowork-on-web-desktop-and-mobile
来源类型
链接来源——主要来源状态尚未确定。
背景60 秒内了解这一点

从这里开始

关键术语

代理工作流程
人工智能系统计划、执行、检查结果并迭代实现目标的多步骤过程。
计算
训练和运行模型所需的处理资源,通常以 FLOPS 或 GPU 小时来衡量。
特征
模型用来进行预测的输入变量。
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发生了什么

Anthropic has transitioned Claude Cowork tasks for Pro and Max plan users to cloud-based execution, effective October 6, 2026. This shift allows users to initiate and continue Cowork sessions across web, desktop, mobile, and the Chrome side panel. While processing now occurs on Anthropic's servers, the system maintains access to local files through the Claude Desktop app, provided the application remains open on the user's machine.

As of October 6, 2026, new Claude Cowork tasks for Pro and Max subscribers are processed in the cloud rather than locally. This change eliminates the 'Only on your computer' setting in the application's general settings menu.

Existing tasks initiated on a user's local machine prior to this date will remain local until completion. Users are provided with an option to download transcripts for these legacy tasks to facilitate migration to Claude Code if desired.

The system now supports cross-surface continuity. A user can initiate a task in the Chrome side panel and resume the same session on a desktop or mobile device. Notifications for task completion or input requests are pushed to mobile devices.

Despite the cloud-based processing, the system retains the ability to interact with local folders. This requires the Claude Desktop app to be running, which acts as a bridge for the cloud-based agent to access specific local files as needed.

来源详情: support.claude.com ↗

为什么这很重要

This update significantly enhances the utility of Claude Cowork by decoupling task execution from a single physical machine, allowing for seamless transitions between devices. By moving processing to the cloud, Anthropic enables users to start a task on a desktop and resume it on a mobile device or browser. The integration of local file access via the desktop app balances the flexibility of cloud computing with the necessity of interacting with local development environments, though it introduces new dependencies on the desktop application's status for specific tasks. This shift marks a transition from a strictly local-first to a hybrid model, expanding the accessibility of AI-driven task automation for professional users.

The move to cloud-based execution addresses the primary limitation of local-only AI agents: the inability to maintain state across different hardware. By centralizing sessions in the cloud, Anthropic allows for a more fluid user experience that aligns with modern, multi-device professional workflows.

The hybrid approach—where the agent runs in the cloud but accesses local files via a desktop bridge—is a significant architectural choice. It allows the agent to leverage the power of Anthropic's servers while respecting the user's local file structure, provided the desktop app is active.

The transition highlights the evolving nature of AI agents from local utilities to persistent, cloud-synced assistants. This shift is critical for users who require long-running tasks that must persist even when their primary workstation is offline or inaccessible.

Interactive Mechanism

互动机制:它实际上是如何运作的

以交互方式探索这一发展背后的基础技术。

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

接下来看什么

Users should monitor the 'beta' status of cloud-based Cowork, as Anthropic has noted that some features remain unavailable in this environment. Additionally, the removal of the 'Only on your computer' setting necessitates a shift in workflow for users who previously relied on local-only processing for privacy or security reasons. It remains to be seen how the platform will handle potential latency or connectivity issues when tasks require frequent synchronization between cloud-based agents and local file systems.

The 'beta' designation for cloud-based Cowork suggests that users may encounter limitations or gaps compared to the previous local-only implementation. Anthropic has not provided a comprehensive list of these missing features.

Data privacy remains a key area of interest. Anthropic specifies that whether conversations are used to improve AI models depends on the user's 'Help improve our AI models' privacy setting, which now applies to these cloud-based sessions.

The requirement to keep the desktop app open for local file access creates a new dependency. Users should watch for how the system handles scenarios where the desktop app is closed while a cloud-based task is attempting to access local resources.

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