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Claude Cowork vs. OpenClaw: Persistence, Permissions, and What Each Really Costs

Claude Cowork is a permission-gated agent bundled into a $17/month subscription; OpenClaw is an MIT-licensed daemon with root-level reach that you assemble yourself. I compare both on persistence, security, and cost.
Aug 14, 2026  · 13 min read

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You have a folder of interview transcripts to synthesize, a recurring Monday report nobody wants to assemble, and a laptop you would rather close at 6 pm. Two tools claim they can take that work off your hands: Claude Cowork, Anthropic's agentic mode inside the Claude desktop app, and OpenClaw, a self-hosted gateway that wires your messaging apps to AI agents.

They are competitors, but very different ones. Cowork sells you a permission-gated agent with subsidized usage that you download and sign into. OpenClaw hands you a Node process, an MIT license, and the entire responsibility for what happens next.

In this article, I'll compare Claude Cowork and OpenClaw across unattended persistence, security defaults, real cost at three usage levels, setup friction, model lock-in, and enterprise administration. For deeper individual coverage, see our Claude Cowork tutorial, our guide to OpenClaw, and our roundup of Claude Cowork alternatives.

TL;DR

  • Persistence is the real gap: OpenClaw runs as a 24/7 daemon with cron, while Cowork's "close your laptop" promise applies to its web and mobile beta, not the desktop app that reaches your local folders.
  • The security models are inverted, and only one has a documented breach: OpenClaw runs with full system access by default, and its skill marketplace was exploited in the ClawHavoc incident.
  • Choose Claude Cowork if you want permission gates, admin controls, and a $17/month bill you never have to think about.
  • Choose OpenClaw if you need scheduled unattended runs, local models via Ollama, or control over where your data sits.

What Is Claude Cowork?

Claude Cowork is Anthropic's agentic work mode: you give Claude a goal, it works inside the folders and connected tools you pick, and it hands back finished output for review. It runs on macOS, Windows (x64 and arm64), Linux, and ChromeOS, with web and mobile in beta. In the Claude desktop app, you'll find a slider underneath the prompt window, which lets you choose between Cowork and the usual chat mode.

Claude Cowork UI

The design idea Anthropic repeats on the Cowork product page is "say what, not how." Claude reaches for connectors first, falls back to your browser when it has to, and only takes over your screen as a last resort (note that computer use is still in research preview). It also splits larger jobs into chunks that run in parallel, so drafting and research happen at the same time rather than sequentially.

Customization comes through plugins, which bundle skills (domain knowledge), connectors (Amplitude, Microsoft 365, Google Drive, Slack, and others), and sub-agents into a single install. Anthropic shipped private plugin marketplaces for admins on February 24, 2026, and enterprise deployment controls on April 9, 2026. We walk through file organization, batch conversions, and Chrome automation in our hands-on Cowork tutorial.

What Is OpenClaw?

OpenClaw is a self-hosted gateway that connects chat apps to AI agents, developed in the open by the OpenClaw Foundation, a non-profit, under an MIT license. You run one Gateway process on your own machine or a server, and it becomes the bridge between an always-available agent and a big number of messaging services: Discord, Google Chat, iMessage, Matrix, Microsoft Teams, Signal, Slack, Telegram, WhatsApp, Zalo, and WebChat can all be used. The Gateway is the single source of truth for sessions, routing, and channel connections.

Configuration lives in a single file at ~/.openclaw/openclaw.json, and a browser Control UI runs locally at http://127.0.0.1:18789/. The docs are blunt about the audience: developers and power users who want a personal AI assistant they can message from anywhere without handing their data to a hosted service. TechRadar counts over 50 official integrations plus ClawHub, the community skills registry.

OpenClaw architecture

If you want to run it, our OpenClaw setup tutorial covers installation and channel pairing, and our OpenClaw with Ollama tutorial covers the fully local path.

Claude Cowork vs. OpenClaw: Head-to-Head Comparison

Here is the short version before I get into the dimensions that actually decide it. Note how few of these rows are about capability.

Dimension Claude Cowork OpenClaw
Unattended running Scheduled tasks on the cloud path; web and mobile in beta. Desktop sessions are tied to your machine being awake Always-on daemon with cron and webhooks
Default permissions Folder-scoped, approval before significant actions, and deletion requires your approval Full system access with high-level permissions by default
Setup Download the desktop app, sign in, pick folders; QR pairing for mobile Node 26 recommended (22.22.3+, 24.15+, or 25.9+), JSON config, WSL2 on Windows
Cost $17/month Pro annual ($20 monthly), $100 Max 5x, $200 Max 20x, $20/seat Team Free software; roughly $3 per million input tokens and $15 per million output on Claude Sonnet, plus hosting
Model choice Anthropic models only Claude, Gemini, GPT/Codex, Grok, Mistral, DeepSeek, Cohere, Qwen, plus Ollama, LM Studio, vLLM, SGLang
Where you talk to it Claude desktop app; web and mobile in beta Any paired messaging channel, plus the local Control UI
Enterprise administration RBAC by team, spend limits, per-department tool permissions, OpenTelemetry to SIEM Nothing built in; you own the hardening
License Proprietary, subscription only MIT, community-driven

Persistence and unattended scheduling

Cowork's product page says "Close your laptop, it keeps going" and advertises tasks you can schedule at any cadence to run unattended. That promise belongs to the cloud path, and the page itself labels web and mobile as beta.

The desktop app is the surface that reaches the folders and applications on your own computer, and Anthropic says as much in its own FAQ: the desktop app adds what web and mobile can't reach. Our hands-on coverage of Cowork Dispatch found that the desktop experience is session-based and stops the moment the Mac enters sleep. One of the tips we ended up writing is to go into System Settings and change your sleep timer.

OpenClaw has no equivalent asterisk. The Gateway installs as a service and runs as a background daemon, with cron and webhooks listed under its capabilities, so a 07:00 job fires whether you are at the desk or not. If your machine sleeps, that is your power settings, not a product limitation.

So the honest framing is this: if your work lives in local folders and you want it done overnight, OpenClaw does that today, and Cowork does it in beta on the cloud surface, where it cannot touch your local filesystem. Anthropic will close this gap, and the beta label suggests it is actively working to do so. Right now, though, the "hand it off and walk away" pitch is the weakest part of Cowork's story.

Security, permissions, and who is liable

Cowork defaults to the cautious end of the spectrum:

  • Access limited to the folders and tools you explicitly pick
  • Deletion always requires your approval
  • Can be set to show its plan and wait for sign-off before significant actions
  • Per-application permission once computer use kicks in, with a stop at any step

OpenClaw, on the other hand, runs with high-level permissions by default. Our own comparison of Cowork Dispatch and OpenClaw described it plainly as providing full system access, which can become a security risk if you do not configure it carefully. That risk is not hypothetical: as we covered in our OpenClaw explainer, the ClawHavoc incident turned access to the skill marketplace into credential theft. Anything you install from ClawHub inherits the agent's reach, which includes your shell, your files, and your browser.

But Cowork does not get a clean pass here either. Its controls are configurable rather than automatic, so an admin who never touches the permission settings ships an agent that acts first. More awkwardly, Anthropic's own pricing page states that Cowork activity is not yet captured in audit logs or the Compliance API, which is a real hole underneath an enterprise pitch that includes RBAC, spend limits, and OpenTelemetry streaming to your SIEM.

My read: Cowork is deployable in an organization with a security team, and OpenClaw is deployable in an organization with a security team that has explicitly signed off on a sandboxed host. Those are very different sentences.

What each one actually costs at light, daily, and heavy usage

Cowork bills as a flat subscription:

  • Pro: $17/month on the annual plan ($200 up front), or $20 billed monthly
  • Max 5x: $100/month
  • Max 20x: $200/month
  • Team: $20 per seat, for 2 to 150 people
  • Enterprise: quoted separately

Two lines matter more than the sticker prices. Anthropic warns that Cowork consumes limits faster than Chat because Claude coordinates sub-agents and tool calls. A single Cowork run that fans out across a folder of documents is worth far more than one chat message, which is why heavy users get steered up to Max 20x.

OpenClaw's software is free, and the cost is tokens plus hosting. Our setup tutorial puts Claude Sonnet at roughly $3 per million input tokens and $15 per million output, with Opus higher. Third-party managed hosting starts around $9.99/month if you do not want to run the box yourself, per our alternatives roundup.

The detail almost nobody surfaces: if you already pay for Claude Pro or Max, you can generate a setup token through the Claude Code CLI and run OpenClaw against your subscription instead of metered API billing. That partially collapses the cost argument, because you get OpenClaw's cron daemon and channel routing on the same subscription that funds Cowork. It is not a free lunch, since Anthropic's usage limits still apply, but it is the single most actionable fact in this comparison.

Cowork subsidizes light use; OpenClaw absorbs heavy use differently

Model choice and lock-in

Cowork is locked to Anthropic. That is the deal you accept in exchange for subsidized usage, and it only becomes a problem if you need a specific non-Claude model or want to arbitrage token prices. Usually, one of the four Claude tiers (Fable, Opus, Sonnet, Haiku) will cover any use case you have in mind, with Sonnet as a reasonable default.

OpenClaw is model-agnostic by design. Its provider list spans Claude, Gemini, OpenAI/ChatGPT/Codex, Grok, Mistral, DeepSeek, Cohere, and Qwen, alongside routing layers like OpenRouter, LiteLLM, Amazon Bedrock, and Vertex AI. The genuinely differentiating part is local execution through Ollama, LM Studio, vLLM, and SGLang, which is the only way in this comparison to run an agent with no data leaving your hardware.

I would not oversell this dimension. Most people picking between these two will run Claude either way, and the docs themselves recommend using the strongest, latest-generation model available for quality and security. Model flexibility matters if you have a privacy constraint or a local-model workflow, and otherwise, it is a nice-to-have.

Setup friction

Cowork's setup is a download and a login. You grab the installer for macOS, Windows, Linux, or ChromeOS, sign into a paid plan, click the Cowork tab, and point it at a folder. Pairing your phone is a QR code.

OpenClaw asks for more:

  • Node 26 recommended (22.22.3+, 24.15+, or 25.9+ also work)

  • An API key

  • A config file at ~/.openclaw/openclaw.json

  • WSL2 on Windows (runs natively on macOS and Linux)

Our OpenClaw guide and our OpenClaw Ollama tutorial walk you through the setup process.

None of this is hard for anyone comfortable in a terminal, and openclaw onboard handles the guided path. It is a real gatekeeper for the non-technical knowledge worker Cowork is aimed at, and a non-issue for anyone who has installed a Node service before.

Where you talk to it

Cowork lives in the Claude desktop app, with web and mobile in beta, so the conversation happens in Anthropic's interface. OpenClaw meets you in whatever you already have open: Telegram, Slack, WhatsApp, Signal, iMessage, Discord, Microsoft Teams, Google Chat, or the local Control UI. Community plugins extend that to WeChat, Yuanbao, and Zalo.

This is more about convenience than capability. Messaging your agent from Signal is pleasant, and it does not make the agent better at reconciling a spreadsheet.

Enterprise administration

Cowork wins this by default, because OpenClaw does not compete here at all. Cowork gives admins the controls OpenClaw has no answer for:

  • Toggle Cowork off org-wide from Admin Settings
  • Role-based access by team
  • Spend limits
  • Tool permissions by department
  • Activity streamed to your SIEM via OpenTelemetry

Cowork and the Slack connector are included in Team Standard and Premium seats.

The caveat from the security section applies again: Cowork activity is not yet in audit logs or the Compliance API. If your compliance team requires immutable logs of every agent action, neither tool satisfies that today, which is worth saying out loud before someone signs a contract.

Where they are effectively tied

Several dimensions look like differentiators and are not. Both orchestrate sub-agents with isolated sessions. Both read and write local files, and Cowork's supported-format list (Word, Excel, PowerPoint, PDF, CSV, YAML, Jupyter notebooks, and most code files) is long but unremarkable for this class of tool.

Integration breadth is comparable in size and different in shape: Cowork has connectors plus a plugin marketplace bundling skills and sub-agents, OpenClaw has 50+ official integrations, ClawHub, and 10+ chat channels.

When to Choose Claude Cowork vs OpenClaw

The decision is rarely about which agent is smarter. It is about whether you want a product with a support contract or infrastructure you maintain.

Use case Recommended Why
Recurring overnight jobs on local files OpenClaw Always-on daemon with cron; Cowork's unattended path is the cloud beta
Non-technical team, no ops budget Claude Cowork Download, sign in, pick a folder; no Node runtime or config file
Regulated environment with a security review Claude Cowork Folder scoping, approval gates, RBAC, and OpenTelemetry to your SIEM
Running a local model with no data leaving the box OpenClaw Native support for Ollama, LM Studio, vLLM, and SGLang
Occasional folder cleanup and format conversions Claude Cowork Included in the $17/month Pro plan with usage subsidized
Messaging an agent from Signal or Telegram all day OpenClaw One Gateway serves 10+ channels simultaneously
Deploying to 100 seats with spend controls Claude Cowork Team plan at $20 per seat, admin toggles, per-department tool permissions

Four questions decide between Claude Cowork and OpenClaw

Choose Claude Cowork if...

  • You want an agent that asks before it acts. Deletion requires your approval by default, and permission settings make Claude show its plan first.
  • Your budget is a subscription line item, not a metered API bill. Pro at $17/month covers light use without a token calculator.
  • You are rolling this out to a team. Admin settings cover access by team, spend limits, and tool permissions by department.
  • Your work already sits in Microsoft 365, Google Drive, or Slack, and you want connectors rather than a browser puppet.

Choose OpenClaw if...

  • The job has to run when you are asleep. The Gateway installs as a service and cron fires regardless of session state.
  • You want to message your agent from the app you already have open, whether that is Telegram, Signal, or Microsoft Teams.
  • You need model flexibility, either for local inference through Ollama or for routing across providers with LiteLLM or OpenRouter.
  • You are comfortable hardening a Node service, because the default posture is full system access, and ClawHavoc showed what that costs when it goes wrong.

Can You Use Claude Cowork and OpenClaw Together?

Running both Claude Cowork and OpenClaw together is possible and actually a very good setup. They fail in opposite places, so pairing them covers ground neither manages alone.

The division of labor follows the persistence and security gaps from earlier in this comparison.

  • Cowork takes the interactive work on sensitive local documents, where its approval gates and deletion sign-off are worth the lock-in.
  • OpenClaw takes the scheduled overnight jobs against local files that Cowork's session-bound desktop app cannot run yet.

The part that makes this practical rather than expensive: run OpenClaw against a Claude subscription token generated through the Claude Code CLI, and one bill funds both tools. You are maintaining two systems instead of one, and Anthropic's usage limits still apply across both. But if Cowork closes its local-scheduling gap, this collapses back into a single tool, so treat the split as today's answer rather than a permanent setup.

Final Thoughts

If you want work done while you sleep and you can run a Node service safely, use OpenClaw. If you want an agent your legal team will tolerate and a bill you can forget about, use Claude Cowork. Everything else in this comparison is downstream of those two sentences.

My own setup, if you want the opinionated version: Cowork for anything touching client documents, because the approval gates are worth the lock-in, and OpenClaw on a Claude subscription token for the scheduled jobs Cowork cannot yet run locally. That combination costs one subscription and a bit of terminal time. It also means neither tool has to be the only answer, which is usually where these comparisons land once you actually run both.

FAQs

Is Claude Cowork free to use?

No. Cowork is included with every paid Claude plan: Pro at $17/month with the annual discount ($200 billed up front, or $20 monthly), Max 5x at $100/month, Max 20x at $200/month, Team at $20 per seat, and Enterprise. Anthropic warns that Cowork consumes usage limits faster than Chat because agentic tasks coordinate sub-agents and tool calls.

Can OpenClaw run on my Claude Pro subscription instead of paying per token?

Yes. You can generate a setup token through the Claude Code CLI and use your Claude Pro or Max subscription rather than metered API billing. Anthropic's usage limits still apply, but this removes the per-token cost that otherwise makes heavy OpenClaw use expensive, since Claude Sonnet runs roughly $3 per million input tokens and $15 per million output.

Does Claude Cowork keep working when my laptop is closed?

On the web and mobile path, yes, and Anthropic labels both as beta. On the desktop app, which is the surface that reaches your local folders and applications, our hands-on Claude Cowork Dispatch testing found sessions stop the moment the machine sleeps. If you need local-file jobs to run overnight today, OpenClaw's always-on Gateway daemon with cron is the safer bet.

Which is safer, Claude Cowork or OpenClaw?

Claude Cowork, by default. It restricts Claude to folders and tools you pick, requires approval before deleting anything, and asks permission per application when using your screen. OpenClaw runs with full system access by default, and the ClawHavoc incident turned skill-marketplace access into credential theft. Cowork is not spotless either: Anthropic states that Cowork activity is not yet captured in audit logs or the Compliance API.

Can I use Claude Cowork and OpenClaw together?

Yes, and that is what I do. Cowork handles interactive work on sensitive local documents where the approval gates matter, while OpenClaw runs the scheduled overnight jobs Cowork cannot yet do against local files. Running OpenClaw against a Claude subscription token means one bill covers both.

Is OpenClaw free to use?

The software is free and MIT-licensed, but running it is not. You pay for model tokens plus hosting if you don't run it on your own machine, where third-party managed hosting starts around $9.99/month. One way to cut the token cost: if you already have Claude Pro or Max, you can generate a setup token through the Claude Code CLI and run OpenClaw against that subscription instead of paying metered API rates.


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Tom Farnschläder
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Tom is a data scientist and technical educator. He writes and manages DataCamp's data science tutorials and blog posts. Previously, Tom worked in data science at Deutsche Telekom.

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