Claude Dispatch vs OpenClaw vs Google Mariner: Which Desktop AI Agent Is Worth Your Money?

TL;DR

Desktop AI agents went from science fiction to three competing products in under six months. Claude Dispatch ($20/mo) is the easiest to set up and the most locked-down on security. OpenClaw (free + API costs) gives you full control over models, messaging channels, and extensibility, but you’re on your own for safety. Google Mariner ($250/mo) crushes web-based tasks but can’t touch your local files or desktop apps. Pick based on what you actually need an agent to do, not which demo looked coolest.

The Desktop Agent Race Just Got Real

Two years ago, the idea of an AI controlling your computer felt like a party trick. You’d watch a demo, nod politely, and go back to copy-pasting between tabs manually.

That changed in March 2026. Within a single week, Anthropic shipped computer use for Claude Dispatch, OpenClaw hit 2 million GitHub stars, and Google expanded Project Mariner to cloud VMs. Three very different bets on the same question: should an AI agent operate your machine while you do something else?

I’ve been running all three for the past week. Here’s what holds up, what doesn’t, and where each one fits.

What Each Agent Actually Does

Before comparing features, it helps to understand that these three tools solve different problems.

Claude Dispatch bridges your phone and your desktop. You send Claude a task from the mobile app, it executes on your Mac using local files, apps, and browser access. Think of it as texting your computer and getting work back.

OpenClaw is a self-hosted agent framework. You install it, connect whatever LLM you want (Claude, GPT, Gemini, local models), wire up messaging channels, and build custom skills. It’s the Linux of desktop agents: maximum power, assembly required.

Google Mariner is a browser automation agent. It runs in Chrome (or on cloud VMs), navigates websites, fills forms, extracts data, and handles multi-step web workflows. It does one thing and does it well, but it doesn’t leave the browser.

Head-to-Head Comparison

Claude Dispatch: The Polished Default

Setup

I paired my phone in under two minutes. Open Claude Desktop, tap Dispatch, scan a QR code. Done. No API keys, no config files, no terminal commands.

Dispatch lives inside Cowork, Anthropic’s persistent conversation layer. That means Claude remembers context across tasks. You don’t restart from zero each time.

What It’s Good At

Local file operations are where Dispatch shines. I asked it to pull numbers from three spreadsheets in different folders, cross-reference them, and produce a summary. It finished in about four minutes. The same task in Mariner? Impossible. Mariner can’t see local files.

The connector system is well-designed. Claude tries purpose-built integrations first (Slack, Google Calendar, Google Workspace) and only falls back to screen control when there’s no connector. That fallback (observing the screen via screenshots, then issuing mouse and keyboard commands) works, but it’s slow and occasionally misclicks.

Computer use, the feature that lets Claude physically operate your desktop, landed on March 24 as a research preview. Combined with Dispatch, you can text your Mac from your phone and have Claude open apps, click through menus, and fill out forms. I tested it with a sequence: open VS Code, create a new file, paste some boilerplate, save it. Took three attempts before it got the flow right.

What Falls Short

You’re locked into Claude models. If you want to use GPT-5.4 for a specific task or run a local model for privacy, you can’t. Dispatch is Anthropic’s walled garden, full stop.

The desktop-must-be-awake limitation is a real friction point. Close your laptop lid, and Dispatch goes dark. This isn’t a cloud service running in the background. Your Mac is doing the work, and it needs to stay on.

Anthropic reports around 50% success on complex multi-app tasks. That matches my experience. Simple stuff (file lookups, drafting documents, Slack messages) works reliably. Chains of actions across three or four apps get shaky.

Who It’s For

People already paying for Claude Pro or Max who want the easiest possible path to a desktop agent. If you use macOS and don’t mind staying inside Anthropic’s product suite, the $20/mo entry point is hard to beat. If you’re also evaluating Claude for coding specifically, see our Cursor vs Claude Code vs Windsurf comparison.

OpenClaw: The Power User’s Agent

Setup

Budget 30 to 60 minutes for your first setup. You’ll clone the repo, configure API keys for your preferred LLM, set up messaging channels, and define your first skills. The documentation is solid, but this is a terminal-first experience.

The skills system is OpenClaw’s killer feature. Each skill is a directory with a SKILL.md file describing what the agent can do. Want it to file Jira tickets? Drop in a skill. Want it to monitor a deploy pipeline? Write a skill. The community has shipped hundreds of these, and installing one is as simple as copying a folder.

What It’s Good At

Model flexibility is the headline. I ran Claude Opus 4.6 for complex reasoning tasks, GPT-5.4 mini for quick lookups, and a local Llama model for anything I didn’t want leaving my machine. Switching models per task is built into the config, no workarounds needed.

Messaging integration is where OpenClaw leaves the competition behind. Fifteen-plus channels: WhatsApp, Telegram, Discord, Slack, Signal, iMessage, Matrix, email, IRC, Teams. I set up a Telegram bot that lets me message my agent from anywhere. Claude Dispatch only works through the Claude mobile app; Mariner has no mobile control at all.

The 24/7 operation matters more than I expected. OpenClaw runs as a background process. My laptop can sleep, reboot, whatever. The agent keeps going on my home server. I set up a recurring task: every Monday morning, pull last week’s analytics from three dashboards and email me a summary. It just runs.

What Falls Short

Security is entirely your responsibility. There are no default guardrails, no sandboxing, no per-app permissions. OpenClaw will happily execute whatever you (or a prompt injection attack) tell it to. If you configure it to access your email and someone crafts a malicious prompt in a message it processes, you have a problem.

The lack of built-in computer use is noticeable. OpenClaw can control apps through APIs and command-line tools, but it doesn’t have Claude’s screenshot-and-click capability. For GUI-only apps without APIs, you’re stuck.

Setup complexity filters out casual users. My partner, a product manager who was interested in trying desktop agents, gave up after fifteen minutes of terminal configuration. That’s a real limitation for adoption.

Who It’s For

Developers and power users who want full control. If you’re comfortable with a terminal, want to pick your own models, and can handle your own security, OpenClaw is the most capable option per dollar spent.

Google Mariner: The Web Specialist

Setup

Install a Chrome extension. Sign into your Google account. That’s it, assuming you’re paying for the AI Ultra plan at $250/mo.

What It’s Good At

Web automation, and specifically multi-step browser workflows, is where Mariner dominates. It scored 83.5% on the WebVoyager benchmark, which tests practical web task completion. In practice, that means: research a topic across five sites, extract specific data points, compile them into a structured format. Mariner handles this faster and more reliably than either competitor.

The cloud VM approach solves the always-on problem. Mariner can run up to ten tasks simultaneously on Google’s infrastructure. Your local machine doesn’t need to be on. I queued up a batch of web research tasks before bed and had results waiting in the morning.

For teams already deep in Google Workspace, Mariner integrates with Docs, Sheets, Gmail, and Calendar. The handoff between “research this on the web” and “put the results in this spreadsheet” is smooth.

What Falls Short

$250 per month is steep. That’s the AI Ultra plan, which bundles Mariner with other Google AI features, but if you only want the agent, you’re overpaying. Claude Dispatch costs a tenth of that.

Mariner cannot touch anything outside your browser. Local files, desktop apps, terminal commands. All off limits. If your workflow involves editing a local document, running a script, and then posting results to a website, Mariner can only handle the last step.

No mobile control. You can’t text Mariner from your phone and have it start working. You queue tasks through the Chrome extension or the web interface.

And the Chrome lock-in is annoying. Firefox, Safari, Arc — none of them work with Mariner. If you’ve moved away from Chrome, this is a non-starter.

Pricing Breakdown for Real Usage

Theoretical pricing and actual monthly spend are different things. Here’s what a month looks like for each:

Claude Dispatch — $20/mo on Pro gets you Dispatch access with usage limits. Max at $100/mo or $200/mo removes most limits. For daily use with moderate tasks, $20/mo covers it. Heavy computer-use sessions can eat through the allocation fast.

OpenClaw — The software is free (MIT license). Your cost is API calls. Using Claude via the Anthropic API, I spent about $12 in a week of moderate use. GPT-5.4 was cheaper for simple tasks. Running local models costs nothing beyond electricity. Realistic range: $5–20/mo for most users.

Google Mariner — $250/mo, no cheaper tier. If you’re already paying for AI Ultra for other Google AI features, Mariner is “free” on top. If you’re subscribing just for Mariner, that’s an expensive browser automation tool.

Security: The Gap Nobody Talks About

This matters more than benchmarks. You’re giving these tools access to your computer, files, and accounts.

Claude Dispatch takes security seriously. Per-app permissions mean Claude asks before accessing each application. Financial, medical, and legal apps are blocked by default. Prompt injection scanning runs on every task. The sandboxed environment isolates agent actions. It’s not bulletproof, but it’s the strongest default setup of the three.

OpenClaw has no security defaults at all. Every safeguard is opt-in and user-configured. The community has published security hardening guides, but the base installation trusts everything. This is the tradeoff for flexibility, and it’s a real risk for anyone who doesn’t understand the attack surface.

Google Mariner runs in cloud VMs, which isolates it from your local machine. That’s good for desktop security but means your browsing data and task content flows through Google’s infrastructure. If you’re already comfortable with Google having your data, this is fine. If not, it’s another vector.

Which One Should You Pick?

Pick Claude Dispatch if you want a “just works” agent on macOS, you’re already paying for Claude, and your tasks involve local files and desktop apps. The $20 entry point and two-minute setup make it the lowest-friction option.

Pick OpenClaw if you’re a developer who wants maximum control, you need multi-model support, or you want to connect your agent to messaging platforms beyond just one vendor’s app. Be prepared to invest time in setup and security hardening.

Pick Google Mariner if your work is heavily web-based (research, data extraction, form automation), you need 24/7 background operation, and $250/mo fits your budget. Skip it if you need local file access or desktop app control.

Pick none of them if you’re doing fine with keyboard shortcuts and tab switching. Desktop agents save real time on repetitive multi-step workflows, but they add complexity and cost for simple tasks. Not every workflow needs an agent.

FAQ

Can Claude Dispatch run on Windows or Linux?

Not yet. Dispatch is macOS-only as of March 2026. Anthropic has hinted at Windows support coming later in the year, but there’s no confirmed date. Linux support hasn’t been mentioned. OpenClaw runs on all three platforms today.

Is OpenClaw safe to use with sensitive data?

Only if you configure it carefully. OpenClaw has no built-in security defaults — no sandboxing, no app blocklists, no prompt injection scanning. The community has published hardening guides, but the responsibility falls entirely on you. For sensitive data, Claude Dispatch’s sandboxed approach is a safer starting point.

Can I use Google Mariner with Firefox or Safari?

No. Mariner is a Chrome extension and only works in Chrome. There’s no standalone app, no Firefox add-on, and no Safari extension. If you need cross-browser support, you’ll need to look elsewhere.

Do these agents work offline?

Claude Dispatch needs an internet connection to route tasks from your phone to your desktop. Mariner runs entirely in the cloud, so offline isn’t an option. OpenClaw can work offline if you’re running a local LLM (like Llama via Ollama), but any cloud-based model features require connectivity.

How do desktop agents handle errors mid-task?

Claude Dispatch pauses and asks for clarification through the mobile app. OpenClaw logs the error and either retries based on your skill configuration or stops. Mariner retries automatically up to a configurable limit, then reports failure. None of them are reliable enough yet for truly unsupervised critical tasks.

Bottom Line

Desktop AI agents in March 2026 are where mobile apps were in 2008 — clearly useful, obviously early, and evolving fast. Claude Dispatch is the iPhone of the bunch: polished, opinionated, limited. OpenClaw is Android: open, flexible, messy. Mariner is a Kindle — great at one thing, don’t ask it to make phone calls.

I’m running Dispatch for daily quick tasks and OpenClaw for anything that needs model flexibility or 24/7 operation. Mariner stays installed for heavy web research sessions. The “winner” depends entirely on your workflow, budget, and tolerance for setup pain.

The real question isn’t which agent to pick. It’s whether your daily workflow has enough repetitive multi-step tasks to justify giving an AI the keys to your machine. If yes, start with whichever one matches your existing tools and upgrade from there.