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Short answer: Claude Cowork is the lower-maintenance option for multi-step work when you accept Anthropic’s managed cloud execution and permission model. An open-source desktop agent such as CoWork OS gives you more control over model routing—including documented Ollama and Apple Silicon MLX-LM paths—but requires you to configure providers, credentials, integrations, and access boundaries yourself. Neither label alone answers the privacy question: Cowork’s current Pro and Max tasks run in Anthropic’s cloud, while a local model can still send data through the tools and services you connect.
Claude Cowork and open-source desktop agents at a glance
The meaningful difference is not simply closed source versus open source. Compare where inference runs, where task execution occurs, which files and accounts the agent can reach, whether browser or computer control is involved, and who is responsible for configuration and provider terms.
| Axis | Claude Cowork | CoWork OS example |
|---|---|---|
| Execution and data path | New tasks for Pro and Max run in Anthropic’s cloud as of October 6, 2026. The open desktop app bridges selected local folders to the cloud task while it remains open. | Can use hosted provider routes or documented local Ollama and Apple Silicon MLX-LM inference. Configured tools and integrations may still contact external services. |
| Source and control model | Managed Anthropic product with guided setup, plugins, connectors, and a project or folder scope. | Free, MIT-licensed application whose provider, model, filesystem, network, and approval settings are configured by the user. |
| Browser and computer work | Includes a separate built-in browser and computer-use capabilities; screen access and prompt injection require active supervision. | Capabilities depend on the project build and selected routes; the documented setup does not establish a category-wide feature set for all open-source agents. |
| Credential and provider administration | Anthropic manages the service layer; you still decide which folders, connectors, logins, and actions to authorize. | You select a provider or local runtime, supply credentials where required, test the connection, and manage provider eligibility, limits, and charges. |
| Price information in the reviewed documentation | Plan pricing is not stated here; behavior differs by plan, with the documented cloud change applying to Pro and Max. | The application is described as free and MIT-licensed; model or service usage charges are not stated and remain subject to the selected provider. |
This table describes Cowork and one documented project, CoWork OS. It is not a ranking of every open-source desktop agent.
What Claude Cowork is designed to do
Cowork is Anthropic’s desktop workflow for handing off multi-step work across files and connected tools. Instead of answering one prompt in a chat, it can read a defined context, perform a sequence of operations, and save finished work into the folder or project you selected. A plugin packages skills, connectors, and example prompts so that a role can be configured without assembling every capability manually.
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Anthropic’s setup flow asks you to sign in to Claude, run /setup-claude, choose a role and relevant plugins or connectors, and then select a working folder or project. The selected context is the boundary the task is expected to use; it is not a promise that the model can see every file on the computer.
Files, projects, and connected services
Cowork can read the context you choose and write completed work there. Connected services extend the task beyond that folder, so each connector should be treated as an additional data path. A connector that can read a system, create records, or send messages can create consequences outside the working directory even when the original prompt sounds harmless.
Web work and computer control
The desktop app includes a built-in browser for web tasks. Anthropic describes this browser as separate from your everyday browser: it does not automatically see your open tabs, bookmarks, or saved passwords. You can choose to bring selected site logins into it, but banking, email, and single-sign-on sites are excluded unless you deliberately select them. Computer-use features are a separate capability with a different risk profile because Claude can inspect what is displayed on the screen and act within the permissions you grant.
Does Claude Cowork run locally?
Not for new Pro and Max tasks under the current behavior. Anthropic’s documentation says new Cowork tasks on those plans run in its cloud as of October 6, 2026, and users on those plans cannot switch new tasks back to computer-only execution. Older descriptions that portray Cowork as entirely local are therefore out of date for new work.
How a cloud task reaches a local folder
- You connect a folder through the desktop application.
- Cowork runs the task in an isolated, temporary cloud environment.
- When the task needs a local file, the desktop app provides a copy to that cloud environment.
- The task processes the copy and can place the resulting work back in the connected folder.
- The bridge exists while the desktop app is open and the folder remains connected.
Anthropic says that deleting the session deletes the copies under its stated retention practices. That describes handling of the cloud copies; it does not remove the need to review the original local files, connector permissions, exports, backups, or logs created by other services.
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What cloud isolation does and does not mean
The cloud environment is described as isolated and temporary on Anthropic’s servers. Isolation limits the environment in which the task runs, but it does not limit what the model can read or do through the access you grant. A task with a broad folder, a powerful connector, or an already authenticated browser context can still expose more information or take more actions than intended.
Privacy and safety: compare the actual data paths
Permission scope matters more than the product label
For either approach, start with the smallest useful scope. Use a project folder containing only the files needed for the task, avoid placing secrets in that folder, and connect one service at a time. Review whether a connector grants read-only access, write access, deletion, messaging, or administrative actions. A local model does not make an over-permissioned integration harmless.
Computer use has a direct screen boundary
Anthropic’s safety guidance distinguishes computer use from ordinary file processing: there is no sandbox between Claude and what is on the screen, and Claude takes screenshots. If a password manager, financial dashboard, private conversation, or production console is visible, the model may be able to interpret it. Keep sensitive applications closed or out of the active workspace, use a dedicated desktop profile when practical, and watch consequential actions rather than allowing unattended execution.
Prompt injection is a task risk, not only a browser risk
Malicious instructions can be embedded in web pages, email, documents, or other untrusted content. An agent may encounter text that attempts to override your request, exfiltrate files, or persuade it to click an unsafe control. Treat instructions found inside retrieved content as data to evaluate, not as authority. Require approval before sending messages, changing records, deleting files, or making purchases, and inspect the exact target and payload before confirming.
Two browser patterns with different exposure
The built-in Cowork browser starts with a separated context and does not inherit your normal tabs or saved credentials by default. Claude in Chrome can work with pages and signed-in accounts already open in an existing browser context. The latter is useful for established workflows but exposes whatever that context can see. Do not describe both modes as simply browser automation: their credential and data boundaries are different.
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What open-source means in the CoWork OS example
CoWork OS is documented as a free, MIT-licensed desktop application. The license and inspectable code can help an organization review how the client is assembled, fork it, or run a different model route. They do not, by themselves, prove that every operation is local or that no telemetry, provider call, or integration transfer occurs.
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The getting-started documentation describes routes through supported provider accounts, direct APIs, compatible gateways, and local inference. It specifically identifies Ollama and Apple Silicon MLX-LM as local-model options. A route using a hosted provider sends prompts and task data according to that provider’s terms. A route using a local model can keep inference on the machine, but a calendar, repository, web, messaging, or other integration may still send data to the service you configured.
Why configuration determines the real privacy result
Think of the application as an orchestrator. The model route handles inference; tools handle files, networks, browsers, and external accounts. If the model is local but a tool uploads a document to a hosted API, the overall workflow is not local-only. Document the route for each tool, not just the headline model name.
Setup comparison: exact first-run paths
Set up Claude Cowork
- Sign in to Claude in the desktop application.
- Enter
/setup-claudeto open the guided setup. - Select the role that matches the work you want to delegate.
- Choose only the plugins and connectors required for that role. A plugin may include skills, connectors, and example prompts.
- Select a working folder or project. Remove unrelated files from the folder before connecting it.
- Read the requested permissions and test with a low-impact task, such as producing a report without sending or deleting anything.
- For web work, decide whether the separated built-in browser is sufficient. Bring over a site login only when the task genuinely requires it.
- Keep the desktop app open while Cowork needs the connected local folder, and review outputs and actions before accepting them.
Set up CoWork OS
- Install the application from the project’s documented distribution channel and review the version-specific getting-started instructions.
- Choose a model route: a supported provider account, an API or compatible gateway, Ollama, or Apple Silicon MLX-LM where your hardware supports it.
- Enter the required API key or sign in to the provider. For a local route, install and start the local runtime and make the intended model available.
- Test the connection before assigning a real project. A successful connection test confirms reachability, not that permissions are safe.
- Select an access profile. Start with Ask for approval so file, network, and consequential actions pause for review.
- Define custom filesystem and network boundaries for repeatable workflows. Grant a project directory rather than an entire home folder whenever possible.
- Run a harmless read-and-draft task, inspect which tools were called, then expand access one capability at a time.
- Record the provider, model, integration endpoints, credentials owner, and approval policy so another administrator can reproduce or revoke the setup.
CoWork OS places more decisions in your hands than a managed product. That is the trade-off behind provider choice and local inference: greater control and inspectability, but more maintenance and more opportunities to misconfigure a boundary.
Feature-by-feature comparison
Multi-step file work
Cowork has a documented workflow for choosing a project or folder, reading its context, and saving finished work. CoWork OS can perform comparable orchestration only to the extent that the selected model route and enabled tools support it. Do not assume that an arbitrary open-source agent has the same file operations, recovery behavior, or connector catalog.
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Connected services
Cowork uses connectors selected during guided setup. Their permissions become part of the task’s effective reach. CoWork OS’s integration behavior depends on the project configuration and any external provider or gateway. Check each integration’s endpoint and data policy; an MIT license does not replace those checks.
Browser and desktop actions
Cowork’s built-in browser and computer-use documentation provide a defined distinction between an isolated browser context and an existing signed-in browser context. For CoWork OS, the reviewed setup material does not establish a universal browser or computer-control feature set. Verify the exact build, tool permissions, and authentication flow before treating it as a substitute.
Model flexibility
Cowork uses Anthropic’s managed workflow. CoWork OS lets you choose among provider routes and documented local runtimes. Flexibility can help with data residency, latency, or cost control, but it also means you must track model compatibility, context limits, provider policy changes, and local hardware capacity.
Choosing between them by workload
Choose Cowork when managed convenience is the priority
- You want guided role, plugin, connector, and folder setup.
- Your team accepts cloud execution for new Pro or Max tasks.
- You need a documented built-in browser and are prepared to manage its separate login context.
- You prefer Anthropic to operate the service layer rather than maintaining model runtimes and API credentials.
Choose an open-source desktop route when control is the priority
- You need to inspect or modify the client and prefer an MIT-licensed project.
- You want to route inference through Ollama, MLX-LM, an API, or a compatible gateway.
- You have staff who can manage credentials, provider terms, model updates, and filesystem or network policy.
- You can test integrations and maintain an approval-first workflow.
Use a hybrid policy when tasks differ
An organization can reserve Cowork for low-sensitivity drafting in a tightly scoped project and use a local route for work that must keep inference on a controlled machine. The hybrid approach still requires an inventory of integrations: a local model paired with a hosted search, transcription, messaging, or storage tool may send data outside the machine.
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- List every folder, connector, browser context, and network endpoint the task can reach.
- Remove secrets and unrelated personal or production data from the working directory.
- Start with read-only or approval-required access.
- Keep banking, email, identity, password-management, and production administration screens out of computer-use sessions unless the action is explicitly required and supervised.
- Separate trusted instructions from untrusted content retrieved from web pages, mail, or documents.
- Require a human confirmation that names the recipient, destination, amount, file path, or record change before a consequential action.
- After the task, review created files, sent messages, changed records, provider logs, and session copies.
- Revoke temporary credentials and disconnect folders or integrations that are no longer needed.
Common mistakes and how to correct them
Relying on an old local-only description of Cowork
Symptom: You assume a new Pro or Max task runs only on your computer. Correction: Treat the October 6, 2026 behavior as cloud execution for new tasks, keep the desktop bridge open only for folders you intentionally connect, and reassess the plan documentation after product changes.
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Confusing cloud isolation with limited access
Symptom: You grant a broad folder or powerful connector because the runtime is described as isolated. Correction: Narrow the folder and connector scope. Isolation describes the execution environment, not a restriction on what an authorized task may read or do.
Assuming a local model makes the whole workflow local
Symptom: Inference uses Ollama or MLX-LM, but an integration uploads data to a hosted service. Correction: Map every tool and endpoint separately and disable integrations that cannot meet your data policy.
Allowing unattended computer actions
Symptom: A task can see a sensitive screen or click a consequential control without review. Correction: Close sensitive applications, use a dedicated workspace, select approval prompts, and supervise the exact action and target.
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Trusting instructions inside retrieved content
Symptom: A web page or document tells the agent to ignore your request or disclose data. Correction: Treat embedded instructions as untrusted text, stop the task, and inspect the source before continuing.
Maintenance and change management
Both products are moving targets, but the work differs. With Cowork, monitor Anthropic announcements and help documentation for plan behavior, browser access, connector permissions, retention language, and available roles. The cloud-execution change dated October 6, 2026 demonstrates why an old setup guide can produce the wrong privacy assumption.
With CoWork OS, track application releases, model-runtime compatibility, provider terms, API-key rotation, gateway changes, and integration endpoints. Re-run connection tests after upgrades, inspect default access profiles, and preserve a known-good configuration for rollback. A project’s main-branch documentation may evolve, so verify that the instructions match the version you installed.
Bottom line: which is safer and which is more private?
There is no universal winner. Cowork is easier to start and offers a managed, documented workflow, but new Pro and Max tasks run in Anthropic’s cloud and can reach connected folders, tools, and screens according to the permissions you grant. CoWork OS demonstrates how an open-source desktop agent can offer provider choice and local inference, but its privacy outcome depends on your selected model route and every configured integration. Choose based on the data path and operational capacity you can actually control, then begin with narrow scopes and approval-required actions.
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