Windsurf vs Cursor in 2026: Which AI Coding Agent Actually Saves Time?
I’ve spent the last 48 hours letting three different AI agents take the wheel on my MacBook. Manus dropped its My Computer desktop app on March 17. OpenClaw has been quietly building momentum as the open-source alternative. And Anthropic’s Claude Computer Use has been refining its approach since late 2024. This is the first proper comparison of all three.
Quick Verdict
Aspect Manus My Computer OpenClaw Claude Computer Use Best For Complex multi-app workflows Budget-conscious tinkerers Developers and power users Pricing $39/mo (Pro) Free / open-source Included with Claude Pro ($20/mo) Setup Difficulty Easy (installer) Moderate (requires config) Easy (API or Claude.ai) Speed Fast Varies by model Moderate Privacy Cloud-processed screenshots Fully local option Cloud-processed screenshots OS Support macOS, Windows macOS, Linux, Windows macOS, Linux, Windows Bottom line: Manus My Computer is the most polished experience right now, but OpenClaw wins on privacy and cost. Claude Computer Use remains the best option if you’re already in the Anthropic ecosystem and want deep integration with Claude’s reasoning.
Use Manus My Computer when you need:
Use OpenClaw when you need:
Use Claude Computer Use when you need:
Before we compare, let’s be precise about what these tools do. Desktop AI agents are software that can see your screen, move your mouse, type on your keyboard, and execute multi-step tasks across any application. They’re not browser extensions or chatbot plugins. They operate at the OS level.
This is fundamentally different from AI agents that orchestrate API calls or workflow automation platforms. Desktop agents interact with your computer the same way you do: visually.
That distinction matters because it means these agents can work with any software, including legacy apps, internal tools, and desktop applications that have no API.
Manus clearly spent time on the user experience. The My Computer app installs in under a minute, asks for accessibility permissions (required for screen control on macOS), and drops a persistent icon in your menu bar. Click it, type a task in natural language, and it starts working.
I asked it to “find the three largest files on my Desktop, create a new folder called Archive, and move them there.” It completed the task in about 14 seconds. The same task took Claude Computer Use around 22 seconds and OpenClaw about 30 seconds (using GPT-4o as the backend).
Manus is also the smoothest at navigating between applications. It opened Finder, identified the files, created the folder, and moved everything without hesitation. The other two occasionally paused to re-orient themselves after switching apps.
Where Manus really shines is chaining actions across multiple applications. I tested a workflow that involved: opening a CSV in Numbers, filtering rows by a date range, copying the results, pasting them into a draft email in Mail, and attaching a PDF from Downloads.
Manus handled this end-to-end without intervention. Claude Computer Use got stuck on the Numbers filter step (it misidentified a menu item). OpenClaw completed it but required me to correct the email recipient field manually.
Manus seems to maintain a stronger internal model of what’s on screen. When I asked it to “reply to the latest Slack message from Sarah,” it correctly identified the right conversation, scrolled to find the most recent message, and composed a contextually appropriate reply. The other agents struggled more with this kind of ambiguous, context-dependent instruction.
The most obvious advantage. OpenClaw is fully open-source under the MIT license. You download it, configure it, and run it. There’s no subscription, no usage cap, no account required.
If you pair it with a local LLM through Ollama or LM Studio, you can run desktop AI automation with zero ongoing cost. The tradeoff is speed and accuracy, since local models lag behind cloud-hosted frontier models, but for simple, repetitive tasks, it works.
This is a big one. Both Manus and Claude Computer Use work by taking screenshots of your screen and sending them to cloud servers for processing. If you’re working with confidential documents, client data, or anything covered by an NDA, that’s a real concern.
OpenClaw can run entirely offline with a local model. Your screenshots never leave your machine. For organizations with strict data privacy requirements, this is potentially the only viable option among the three.
OpenClaw exposes its full automation pipeline through a plugin system. You can write custom actions, define reusable workflows as scripts, and share them with the community. I found user-contributed plugins for browser form-filling, automated screenshot documentation, and even a workflow that monitors a dashboard and sends Slack alerts when metrics change.
Manus and Claude Computer Use are both closed systems. You interact through natural language, and that’s it. For developers who want to build on top of a desktop agent, OpenClaw is the clear winner. It’s the kind of tool that appeals to the same crowd using Claude Code or Cursor for development workflows.
Claude’s biggest advantage is the quality of its thinking. When Claude Computer Use encounters an ambiguous situation, it explains what it sees, what it’s considering, and what it plans to do. I can read its reasoning in real time and correct course before it makes a mistake.
I gave all three agents the task: “Find the spreadsheet I was working on yesterday, fix the formula error in column D, and email the updated version to my manager.” Claude was the only one that paused to ask which spreadsheet (I had two modified yesterday) and which manager email to use. Manus picked the wrong file. OpenClaw picked the right file but used the wrong email address.
This transparency is a direct benefit of Claude’s underlying model architecture. The agent isn’t just pattern-matching from screenshots; it’s reasoning about intent.
If you already use Claude for writing, analysis, or coding, Computer Use fits naturally into that workflow. You can start a conversation in Claude, ask it to perform desktop actions, and then continue the conversation with the results. The context carries over.
For example, I asked Claude to “open the Q1 revenue report on my Desktop, summarize the key trends, and draft a paragraph I can paste into tomorrow’s board presentation.” It opened the file, read it visually, and produced a summary in the same conversation thread. Manus and OpenClaw treat each task as isolated; there’s no conversational continuity.
When things go wrong (and they will), Claude handles recovery more gracefully. If it clicks the wrong button, it recognizes the unexpected screen state and self-corrects. Manus sometimes enters a loop, clicking the same incorrect element repeatedly. OpenClaw tends to halt and wait for user input, which is safe but slow.
| Plan | Manus My Computer | OpenClaw | Claude Computer Use |
|---|---|---|---|
| Free tier | 10 tasks/day | Unlimited (fully free) | Limited via Claude.ai free tier |
| Pro | $39/month | Free forever | $20/month (Claude Pro) |
| API/Usage | $0.05/task after free tier | Your LLM costs only | Standard API pricing |
| Enterprise | Custom pricing | Self-hosted, no license fee | Anthropic enterprise plans |
The pricing story is straightforward. If cost is the primary factor, OpenClaw wins by default. If you’re already paying for Claude Pro, Computer Use is bundled in. Manus is the most expensive standalone option, but the polish may justify it for teams that need reliability.
Screen recording concerns. All three agents need to see your screen. Manus and Claude send screenshots to their servers. Think about what’s visible: passwords in a password manager, private messages, financial data, medical records. I now close sensitive windows before running any cloud-based desktop agent. This isn’t paranoia. It’s basic operational security.
Accessibility permissions are broad. On macOS, these agents require the same accessibility permissions used by screen readers and automation tools. That means they can access everything. There’s no granular “only let the agent control Safari” option. You’re either all in or not using the tool.
Reliability isn’t there yet. I’d estimate all three agents complete complex multi-step tasks without intervention about 60-70% of the time. Simple tasks (open a file, click a button) succeed closer to 90%. This is the honest state of desktop AI agents in March 2026. They’re useful, not infallible.
Speed depends on your network. Manus and Claude Computer Use require round-trips to cloud servers for each screenshot analysis. On my fiber connection, this was fine. On hotel Wi-Fi during a recent trip, both became nearly unusable. OpenClaw with a local model has no such dependency.
| Task Type | My Pick | Why |
|---|---|---|
| Quick file management | Manus | Fastest and most reliable for simple operations |
| Multi-app workflows | Manus | Best at maintaining context across applications |
| Anything with sensitive data | OpenClaw (local model) | Screenshots stay on my machine |
| Tasks requiring judgment | Claude Computer Use | Best reasoning and error recovery |
| Building custom automations | OpenClaw | Plugin system and scriptability |
| General daily automation | Claude Computer Use | Integrates with my existing Claude workflow |
Desktop AI agents are moving fast. Manus has already announced plans for a team collaboration mode in Q2 2026. OpenClaw’s GitHub repository shows active development on voice command integration and a visual workflow builder. Anthropic hasn’t shared a public roadmap for Computer Use specifically, but given their pace with Claude’s model improvements, I’d expect significant upgrades throughout the year.
The real question isn’t which agent is best today. It’s whether desktop AI agents become a permanent part of how we use computers, or remain a novelty. After two days of testing, I think they’re permanent. They’re just not ready to be trusted unsupervised.
Yes, technically. They see whatever is on your screen. Close password managers, banking apps, and sensitive documents before running cloud-based agents (Manus, Claude). OpenClaw with a local model keeps everything on your machine, but still has full screen access.
OpenClaw and Claude Computer Use both support Linux. Manus My Computer currently supports macOS and Windows only, with Linux listed as “coming soon.”
Yes. OpenClaw supports any model accessible via API, including Claude through the Anthropic API. You’ll pay standard API rates, but you get OpenClaw’s plugin system and workflow tools on top of Claude’s reasoning.
Browser tools like Chrome Auto-Browse or Frontier only work inside a web browser. Desktop agents control your entire computer: native apps, file system, system settings, and browsers. They’re broader but also require deeper system permissions.
Not yet, in most cases. The accessibility permissions are broad, screenshot data flows to third-party servers (except OpenClaw), and there’s no audit trail built into Manus or OpenClaw. Claude Computer Use through Anthropic’s enterprise plans offers better compliance controls, but I’d still run this past your security team before deploying.
It depends on the agent. Claude Computer Use typically recognizes errors and self-corrects. Manus sometimes retries the same failed action. OpenClaw stops and waits for your input. None of them have an “undo everything” button. For critical tasks, watch the agent work rather than walking away.
Last updated: March 19, 2026. All testing performed on macOS 15.4 with a MacBook Pro M4. Manus My Computer version 1.0.2, OpenClaw version 0.9.1, Claude Computer Use via Claude Pro.