Best computer-use agents to run in 2027

Quick answer: The best computer-use agent for you in 2027 depends on the job. Orgo Computer Use takes the least setup, since one API request runs a full agent on an Orgo computer. OpenClaw and Hermes Agent suit an always-on assistant you message from Slack or Telegram. Simular's Agent S3, and its newer Agent S4, suit open-source research. Your own Claude, GPT, or Gemini loop suits full control. All of them but S4, whose setup runs on AWS, run on an Orgo cloud computer.

Definition: A computer-use agent is software that completes tasks on a computer the way a person would: it reads the screen, then clicks, types, scrolls, and runs commands until the task is done. The agent is the decision-maker. The computer it works on is a separate thing, and Orgo provides that part (Orgo docs).

The short version:

• Orgo Computer Use: send a task and a computer ID, get the agent's final answer back.
• OpenClaw: an open-source agent you talk to through a messaging gateway.
• Hermes Agent: Nous Research's self-improving agent with skills and a memory of the user. On Orgo it can also use its own computer's screen.
• Agent S3 and S4: Simular's open-source frameworks. S3 pairs a coding agent with GUI actions. S4 (October 2026) evolves the interfaces an agent works through.
• Your own loop: call a model's computer-use tool and run each action on the computer yourself.

New to the idea? Start with What is computer use?.

What are the best computer-use agents in 2027?

These are the agents this post compares. The list is not ranked, because the right pick depends on how you want to talk to the agent and how much of the loop you want to own.

Sources: Use any model, Create chat completion, OpenClaw, Hermes Agent, Agent S3, Agent S on GitHub.

Which computer-use agent should you pick?

Pick by the job, not by the name:

• You want a task done with the least code. Use Orgo Computer Use. You send a task and a computer_id, and the response is the agent's final message.
• You want an assistant that lives on a computer and answers in Slack, Telegram, or WhatsApp. Use OpenClaw or Hermes Agent on its curated template, so the messaging gateway is already supervised.
• You want an agent that builds skills, remembers you, and can work its own desktop. Use Hermes Agent.
• You want an open-source framework you can read, change, and benchmark. Use Agent S3, which Orgo has a guide for, or try Agent S4.
• You want to choose the model, the prompts, and every action yourself. Write your own loop. Computer use models compared covers Claude, OpenAI, and Gemini side by side.

What is Orgo Computer Use, and when is it the right pick?

Orgo Computer Use is a full agent loop that runs on Orgo's side. You send one request in OpenAI's chat completions format with a task and the ID of a running computer. The agent reads the screen, clicks, types, and runs commands until the task is done, then returns its final message (Create chat completion).

• Model: leave model out and Orgo runs orgo-agent, its computer-use engine on OpenAI's GPT-6.1 Terra (fast tier), on Linux, Windows, macOS, and iPhone computers (Use any model).
• Models you can pin: orgo-agent, orgo-agent-opus-5.5 (the same engine on Claude Opus 5.5), claude-sonnet-5, claude-opus-5.5, claude-opus-5, claude-opus-4.8, claude-sonnet-4.6, and claude-opus-4.6. Any other name returns 400 invalid_model.
• Adapts to the computer: it uses PowerShell on Windows, Cmd shortcuts on macOS, and no shell on iPhone.
• Works with existing code: point an OpenAI SDK at https://www.orgo.ai/api/v1 and pass computer_id as an extra field.
• Billing: runs bill to the workspace owner's AI credits unless you send your own key. X-OpenAI-Key pays for orgo-agent. X-Anthropic-Key pays for the Claude models and orgo-agent-opus-5.5. A key that can't pay for the model you chose is refused with 400, never ignored.

It is the right pick when you want results from a computer without writing a screenshot-and-click loop. For the API surface underneath it, see the Orgo computer use API.

When should you run OpenClaw?

OpenClaw is an open-source AI agent that runs on a computer, controls applications, automates tasks, and connects to messaging platforms through a gateway (OpenClaw on Orgo, OpenClaw docs). Its gateway takes messages from Discord, Matrix, Microsoft Teams, Signal, Slack, Telegram, WhatsApp, and more, and skills install from ClawHub. Its iMessage channel needs a Mac signed in to Messages, so a Linux Orgo computer can't serve it on its own.

Run it when you want an always-on agent you message like a coworker. On Orgo, the curated template boots with OpenClaw and the Claude Code CLI installed and its gateway supervised, so it restarts on a crash and on every boot. It runs on 2 vCPU and 8 GB RAM. Config and gateway state live in ~/.openclaw/ and survive stops and restarts.

When should you run Hermes Agent?

Hermes Agent is Nous Research's self-improving AI agent. It builds skills from experience, refines them during use, and keeps a persistent model of the user across sessions (Hermes Agent on Orgo). It takes messages from Telegram, Discord, Slack, WhatsApp, Signal, email, and more (Hermes Agent on GitHub).

Run it when the agent should get better at your work over time. On Orgo, the curated template boots with Hermes installed and its gateway supervised, on 2 vCPU and 8 GB RAM. Identity, memory, and learned skills live in ~/.hermes/ on the computer's disk and survive stops and restarts. Without an Anthropic key in your workspace Secrets, Orgo sets Hermes up on Orgo's models billed to your AI credits.

Hermes on Orgo is also a computer-use agent in its own right. Orgo turns on Hermes' computer_use tool in dashboard chat. The tool reads apps' buttons and fields by name through the Linux accessibility bus and clicks in the background, without taking your mouse. From system/hermes-agent@1.1.15, the accessibility pieces it needs are built into the template.

For hosting details on both, see Best hosting for OpenClaw and Hermes Agent.

When should you run Agent S3 or Agent S4?

Agent S3 is the open-source computer-use agent by Simular AI, distributed as the gui-agents package. Compared with Agent S2, it drops the manager and worker hierarchy, adds a native coding agent that writes and runs code alongside GUI actions, and adds Behavior Best-of-N, which runs several rollouts and picks the best one (Agent S3 on Orgo).

Run it when you want a framework you can inspect and modify. It pairs a main model with a grounding model, and it emits pyautogui code that runs inside the Orgo computer through POST /api/computers/{id}/exec. Match its grounding_width and grounding_height to the grounding model's coordinate space, or clicks land off target. The full walkthrough is in How to run Agent S3 on an Orgo cloud computer.

Simular released Agent S4 in October 2026 as a separate package. S4 does not solve tasks itself. It studies a task agent's runs and evolves the interfaces that agent works through, such as one call that writes a block of spreadsheet cells where the agent was typing them one at a time. Simular reports 21.3% binary success on OSWorld V2 with Qwen3.8-27B and calls that the highest among open-source computer-use agents (Agent S on GitHub, Simular's Agent S4 write-up). Its README runs task agents on fresh AWS VMs through that benchmark, so Orgo's guide covers S3 only. Pick S4 when you want to improve an agent, and S3 when you want an agent that does the task.

When should you build your own computer-use loop?

Build your own when the agent is your product. You call a model's computer-use tool, read back each action, and run it on the computer. Orgo exposes an endpoint for every action, including screenshot, click, type, key, scroll, and bash, so any model with computer-use support works (Use any model).

Send Orgo screenshots unresized and Claude and OpenAI coordinates are already the computer's pixels. A Linux computer created without a template or a resolution boots at 1280x720. Step-by-step guides: Claude, OpenAI, Gemini.

Why run a computer-use agent on a cloud computer instead of your laptop?

A computer-use agent needs a whole desktop, and it is safer and more useful when that desktop is not yours:

• Isolation. The agent reaches only what you put on its computer. Your laptop's files, browser sessions, and keys stay out of reach (OpenClaw on Orgo).
• Always on. An Orgo computer is online in seconds and runs until you stop it, so a messaging agent keeps answering when your laptop is closed. An hourly computer also stops when its credit runs out (account limits), and with no plan, after 7 days without credit it is deleted with its files.
• Real desktop, not just a browser. A Linux or Windows computer has a full desktop, a browser, and a terminal, reachable over HTTP and VNC. Linux is on every plan, Windows is included on Scale or added per computer, and Macs and iPhones are sold while in stock.
• One agent per computer. For many users, the Hermes guide recommends one computer per user, and Orgo is built to scale that way. See How to scale AI agent computers to thousands.

How do you get started?

1. Create an API key in Settings, under API keys.

2. Pick an agent. For OpenClaw or Hermes, create a computer from its curated template in the dashboard, or from the API:

   bashCopy

   curl -X POST https://www.orgo.ai/api/computers \
     -H "Authorization: Bearer $ORGO_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{"workspace_id": "'"$WORKSPACE_ID"'", "name": "hermes", "template_ref": "system/hermes-agent@1.1.16"}'

   If your plan has no room for it, a key with full access or Billing write launches it by the hour from credit on its own, so there is nothing to resend. Send an Idempotency-Key header with a UUID so a retry launches it once (Create computer). From the CLI, run orgo computers create --name hermes --template hermes-agent --cpu 2. For Orgo Computer Use or your own loop, create any computer.

3. Give it a task: chat with it in the dashboard, connect a messaging app, or send a request to /api/v1/chat/completions.

Paid plans start at $29 a month (Starter), and a new account can get $5 of starting credit after the free checks. Current limits are on the pricing page.

What errors will you hit?

FAQ

What is the difference between a computer-use model and a computer-use agent?

A model, such as Claude or GPT, decides the next action from a screenshot. An agent wraps a model in a loop with tools, memory, and a way to receive tasks. OpenClaw, Hermes Agent, Agent S3, Agent S4, and Orgo Computer Use are agents. Claude, GPT, and Gemini are models you can build your own agent on.

Is OpenClaw or Hermes Agent better?

Neither is better in general. Both run on a curated Orgo template with a supervised messaging gateway. Hermes focuses on building skills and keeping a model of the user across sessions, and on Orgo it can use its own screen. OpenClaw connects to a long list of messaging platforms and installs skills from ClawHub. Hermes also ships a hermes claw migrate command that imports an existing OpenClaw setup.

Do I need my own model API key?

Not for Orgo Computer Use, which bills to your AI credits by default. You can send X-OpenAI-Key or X-Anthropic-Key to pay your provider instead. Hermes Agent can also run on Orgo's models. OpenClaw and Agent S3 need your own provider keys, Agent S4 needs model and AWS credentials, and your own loop needs a key for whichever model you call.

Can a computer-use agent run on Windows or macOS?

Orgo Computer Use runs on Linux, Windows, macOS, and iPhone computers and adapts its shortcuts to each. Macs and iPhones are sold while in stock. Windows is included on Scale. On Starter and Growth, each Windows computer is $47 a month in all, a $15 license plus a Medium's room (as of November 2026). Windows is not offered by the hour.

Can these agents receive webhooks?

Run messaging gateways in outbound mode, such as Slack Socket Mode or Telegram long polling. An Orgo computer has no public inbound hostname, so a webhook can't reach it directly.

Related

• What is computer use?
• Computer use models compared
• Best hosting for OpenClaw and Hermes Agent
• How to run Agent S3 on an Orgo cloud computer
• The Orgo computer use API

Sources

• Use any model
• Create chat completion
• Create computer
• OpenClaw on Orgo
• Hermes Agent on Orgo
• Agent S3 on Orgo
• Agent S on GitHub
• Simular: Agent S4
• Agent S4 README
• Hermes Agent on GitHub