OpenClaw alternative for computer use
OpenClaw is a popular open-source personal agent that can also operate a computer. Melaya Computer Control is built for that one job: an AI agent that reads the real window, plans many steps in one model call and checks every one of them, on Windows, macOS, Linux and headless VMs.
Pick OpenClaw if you want an open-source agent with a huge skill ecosystem and you mostly work on a Mac. Pick Melaya if computer use has to work just as well on Windows and Linux, cost fewer model calls per task, and prove every click landed before the next one.
Melaya vs OpenClaw, side by side
How each one sees the screen, spends model calls, checks its own work and keeps you in control.
| What matters | Melaya | OpenClaw |
|---|---|---|
| How it sees the screen | Accessibility tree first (UI Automation on Windows, Accessibility on macOS, AT-SPI2 on Linux), OCR and marked screenshots as fallback, all in one element-reference space | Hybrid: screenshots plus an accessibility tree with element refs, with Peekaboo on macOS by default |
| Windows and Linux | First-class on Windows 10 and 11, macOS 13 and later, and Linux on X11 and Wayland | The Windows and Linux driver is marked experimental |
| Multiple monitors | Multi-monitor and per-monitor DPI on every OS | Primary display only on the Windows and Linux driver |
| Model calls and tokens | System One: one model call plans many steps (up to 100), Melaya grounds, runs and checks them. Every run reports its model calls, actions and seconds | Users report 80 to 150k input tokens per task, and surprise bills |
| Confirmation before risky actions | Approval before sending, deleting, buying or installing in Safe mode, on top of per-app levels: View, Click or Full | No per-action confirmation. Safety comes from durable arming and tool policy |
| Verified writes | Every action checked against the window. Nothing changed? The step reports no effect, not a false success | Not documented |
| Security | Never types into password fields, sensitive apps off by default, your rules applied on the server and checked again on your computer | CVE-2026-25253 (one-click remote code execution), and malicious skills found in its skill hub |
| Scheduling | Scheduled pipelines run on your own computer, kept awake for the run | Cron and heartbeat scheduling |
| Know-how for apps | Built-in playbooks for 24 common desktop apps, and connected services such as Slack, Notion or Teams used directly instead of clicking | A huge, open skill ecosystem |
OpenClaw details per public documentation, October 2026, with sources at the bottom of this page. "Not documented" means we found no statement in its public docs, not that the feature is missing.
Where OpenClaw is strong
OpenClaw earned its following. It is open source, it runs as a personal agent you own, and its community has built a skill ecosystem few projects can match. For computer use it already pairs screenshots with an accessibility tree and element refs, which is the right instinct.
- Open source, so you can read, fork and self-host every line.
- A huge skill ecosystem for everything around computer use.
- Cron and heartbeat scheduling for agents that wake up on their own.
- Screenshots plus an accessibility tree with element refs, and Peekaboo on macOS.
Where Melaya is different
The difference starts with how the work gets planned. A screenshot loop pays for a model call and a fresh image on every click, so a 20-step task means 20 calls and 20 images. Melaya's System One reads the real window once, plans the steps in a single call, and lets Melaya execute and verify them deterministically, asking the small Laya model only when a target is ambiguous. Far fewer model calls and images per task, no guessing at pixels, no false "done", and the run stops at the first surprise instead of drifting.
One call plans many steps
Users report 80 to 150k input tokens per OpenClaw task. System One goes after that at the root: the model reads the window and sends the whole plan up front, up to 100 steps, so it thinks once instead of after every click.
Deterministic grounding, Laya as a gated fallback
Melaya finds each target on the real accessibility tree: an element reference, an exact label, the right row of a table. Only when a target is ambiguous does Laya, Melaya's small System One model, make the call, and only when it is confident. Otherwise the step stops and says why.
Verified writes
After every action Melaya looks at what changed in the window. If nothing did, the step reports no effect instead of a success that never happened. Admin windows are detected up front and reported, never silently clicked.
Windows, macOS and Linux as equals
UI Automation on Windows, Accessibility on macOS, AT-SPI2 on Linux with X11 and Wayland. OCR and marked screenshots fill in for apps that draw their own pixels, in the same reference space. Multi-monitor and per-monitor DPI included, not just the primary display.
Background first
Where the OS allows, clicks and typing go through the accessibility layer, so your cursor stays yours and windows do not jump to the front. When an app only reacts to real input, the agent falls back to it and says so on the timeline.
Headless servers and VMs
No screen, no problem. npx @melaya/runner --computer turns a headless Linux machine or VM into a computer your agents can use, with the same permissions, approvals and timeline as the desktop app.
Per-app permission levels
Each app gets View, Click or Full. Password managers, banking apps, terminals and system settings start switched off. Sending, deleting, buying and installing ask first in Safe mode. A Stop button, a Stop shortcut, and the run pauses when you touch the mouse or keyboard.
Phone, browser and computer in one platform
The same agents also drive your Android phone and your browser, and run scheduled pipelines on your own computer. Read the web, update the desktop app, confirm on the phone, all in one run.
From Claude Code, Codex or Cursor, with any model
Add the Melaya MCP server and your coding agent gets the computer tools under your rules. Drive them with Claude, GPT, Gemini, Qwen or a local model through Ollama or LM Studio.
Switching from OpenClaw
Three steps. Keep OpenClaw installed and run both on the same task.
Download the app
Get Melaya for Windows, macOS or Linux from the download page. On a Mac, allow Accessibility and Screen Recording once. The app walks you through it.
Connect this computer
Sign in, say yes on one consent screen, and switch on the apps the agent may use, at View, Click or Full. Your OpenClaw setup can stay installed while you compare.
Give it the same task
Paste the task you gave OpenClaw into the Melaya Assistant, or call it from Claude Code over MCP. Watch the live timeline, then read the model calls, actions and seconds the run reports.
On a server or a VM?
No screen needed. Start the Melaya runner with computer control and the machine joins your account like any other computer, with the same permissions, approvals and timeline.
npx @melaya/runner --computerOpenClaw alternative: questions people ask
What is a good OpenClaw alternative for computer use?
If you need computer use on Windows and Linux as well as macOS, with fewer model calls per task and every step checked, Melaya Computer Control is built for that. It reads the accessibility tree, plans many steps in one call through System One, and runs inside per-app permission levels with approvals.
Does OpenClaw computer use work on Windows?
Per OpenClaw's public docs (October 2026), its Windows and Linux computer-use driver is marked experimental and works on the primary display only. Melaya supports Windows 10 and 11 through UI Automation, with multi-monitor and per-monitor DPI.
Will Melaya use fewer tokens than OpenClaw?
Users report 80 to 150k input tokens per OpenClaw task. Melaya is designed to spend less: System One plans many steps in one model call, then Melaya runs and checks them without asking the model again, so a task costs far fewer model calls and screenshots than a click-by-click loop. Every Melaya run reports its own model calls, so you can measure it on your task.
How does Melaya keep computer use safe?
Agents only use the apps you switch on, at View, Click or Full. Sensitive apps start off, the agent never types into password fields, and sending, deleting, buying or installing asks first in Safe mode. The server applies your rules, then the app on your computer checks them again before it acts. Per its docs, OpenClaw relies on durable arming and tool policy instead of per-action confirmation.
Can I run Melaya on a headless Linux server or VM?
Yes. Run npx @melaya/runner --computer on the machine and it joins your account as a computer, with the same permissions, approvals and timeline as the desktop app.
Can I keep using my own model?
Yes. Melaya works with Claude, GPT, Gemini, Qwen and local models through Ollama or LM Studio, and with your own Claude Code or Codex subscription. Fast mode keeps model calls low, so smaller models do well too.
Sources
Every statement about OpenClaw on this page comes from the public sources below, as read in October 2026. Products move fast. If something here is out of date, write to info@melaya.org and we will fix it.
Last reviewed
OpenClaw, Hermes Agent and Claude Cowork are trademarks of their respective owners. Melaya is not affiliated with them.
Give it the same task
Install the desktop app, connect this computer, switch on the apps you want help with, and run the job you gave OpenClaw. Then read the model calls, actions and seconds the run reports.
