Most AI tools still wait for you to copy a result out of a chat box. Computer-use agents flip that: they open a browser, click through real sites, write files, and run recurring jobs so the finished work lands in your inbox instead of a transcript. The category matured fast in 2026, but it splits into two camps — local-first agents you own and hosted agents that run in the cloud. In this ranking we compare eight of the most capable computer-use agents on the market so you can match one to your comfort level and stack.

Quick picks at a glance

All ratings come from our directory profiles, where every tool is scored on the same scale.

How we evaluate

We compare the eight agents on five axes that decide whether a computer-use agent survives real work: where it runs (local versus hosted), the actions it can take (browser, files, apps, APIs), setup cost and required skill level, the pricing model and true all-in cost, and the safety model around approvals and data. Our evaluation draws on each tool’s published feature set, its pricing tiers, and the strengths and limits documented in our profiles. We do not claim a single timed shootout; instead we assess where each agent is the stronger fit so you can map it to your own workflow.

1. OpenClaw — best for a personal agent you fully own

OpenClaw is, in our evaluation, the closest thing to a digital employee that lives on your own hardware. It runs as a background gateway on macOS, Windows, or Linux, reads and writes files, runs shell commands, controls a sandboxed browser, and pushes summaries to WhatsApp, Telegram, Slack, Discord, iMessage, or Signal. A configurable heartbeat wakes it every 30 minutes to run a checklist, so it feels alive rather than reactive. A solo operator could let it draft a daily digest from local notes and post it to a Slack channel without ever opening the app.

• Pros: Fully local and MIT-licensed; omnichannel messaging; 30-minute heartbeat plus cron jobs; 5,400+ community skills on ClawHub.
• Cons: Powerful system access means misconfiguration can let the agent take risky actions; setup still needs terminal comfort.
• Price: Free and open-source (MIT); you pay only for the model you connect, or run local models via Ollama at zero inference cost.
• Skip it if: You want a managed product with a polished approval UI and no terminal work — OpenWorker is the gentler local-first path.

→ Full profile: OpenClaw

2. OpenWorker — best for a desktop coworker that ships finished files

OpenWorker reframes the agent race around deliverables rather than chat. You describe an outcome, it breaks the task into steps, works across your desktop and connected apps, and returns a shareable document, spreadsheet, report, or web page with a full transcript. It is local-first and model-agnostic, so your agent loop, keys, and conversation history stay in a local secret store. A small team could have it pull last week’s metrics from a connected analytics app and drop a formatted report in Slack every Monday morning.

• Pros: Returns finished files with transcripts, not just chat; local-first privacy with a typed permission engine; 25+ native connectors plus any MCP tool; approval-gated writes and sends.
• Cons: Open beta and the Windows build is not yet code-signed; you must supply your own model key or local Ollama; no enterprise SSO or compliance program.
• Price: Free and MIT-licensed to self-host; local Ollama runs fully offline at no per-token cost; cloud models billed by your chosen provider.
• Skip it if: You need a hosted, zero-setup agent and have no model key — a cloud agent like Fellou removes that friction.

→ Full profile: OpenWorker

3. MagiCrew — best for a multi-agent crew on business deliverables

MagiCrew is, in our evaluation, a credible take on the “AI workforce” idea because it closes the last mile: specialized digital employees for finance, legal, support, sales, analytics, and project management research, draft, and assemble real artifacts in one shared workspace. A coordinator dispatches them in parallel, so when the research agent finishes, the deck-building agent picks up the exact same context. An agency could assign a market report and receive a branded PowerPoint and an Excel model instead of a chat summary.

• Pros: Multi-agent orchestration with shared memory; outputs land as PPTs, dashboards, reports, and Excel; free self-hosting in a sandboxed VPC; human approval gates on high-risk actions.
• Cons: Cloud tiers are credit-metered and can surprise at scale; Windows self-hosting is not yet supported; Apache 2.0 license carries added restrictions worth reviewing.
• Price: Free cloud trial; Plus $9.99/mo, Pro $24.99/mo, Max $49.99/mo, Ultra $99.99/mo; self-hosted is free via Docker.
• Skip it if: You want a single autonomous generalist for one deep task — Suna or Manus-style agents are simpler to point at a goal.

→ Full profile: MagiCrew

4. Dia — best for an AI browser you already know how to use

Dia is an AI-native Chromium browser from The Browser Company, so your existing Chrome extensions keep working while a frontier-LLM assistant lives in the URL bar. It reads the page you are on and reasons across every open tab, which means comparing products or drafting a Gmail reply stops requiring the copy-paste dance to a separate chatbot. A researcher could spread five vendor pages across tabs and ask Dia to merge the trade-offs into one table.

• Pros: Page-aware assistant removes copy-paste to ChatGPT; multi-tab reasoning compares and synthesizes sources; full Chromium base keeps extensions compatible.
• Cons: macOS Apple Silicon only, with no Windows or mobile client yet; no autonomous agent mode or API; the free tier’s message cap is low for heavy users.
• Price: Free with limited AI chat and Skills (~50 messages/day); Pro is $20/mo for unlimited chat, full Skills, and 7-day history.
• Skip it if: You need the agent to act on its own — Dia assists, it does not click through workflows end to end.

→ Full profile: Dia

5. Suna — best for an open-source generalist you can audit

Suna is a fully open-source generalist agent that turns a plain-language request into a finished deliverable. It plans a multi-step workflow, then uses a sandboxed browser, a code interpreter, file-system access, and connectors to research the web, scrape and clean data, and generate documents. Each run is isolated in Docker and actions touching external systems need explicit human-in-the-loop approval. A technical user could self-host it behind a firewall and point it at a goal like “compile competitor pricing into a spreadsheet” with full visibility into every step.

• Pros: Fully open-source and self-hostable for data control; generalist agent handles research, scraping, and files end to end; transparent, auditable execution logs.
• Cons: Self-hosting needs real DevOps (Supabase, Redis, Daytona, model keys); output quality tracks the model and tools you wire in.
• Price: Self-hosted is $0; free cloud tier (10 min/mo); Pro cloud $29/mo (4 hrs); Enterprise $199/mo.
• Skip it if: You want a turnkey hosted experience with no infrastructure — Fellou or a managed cloud agent is faster to start.

→ Full profile: Suna

6. Fellou — best for an agentic browser that plans before acting

Fellou treats the browser as an execution surface, not a chat window. It builds a step-by-step plan you can approve or edit, then carries it out across multiple sites and local apps, with deep search that spans public pages and logged-in accounts to produce cited reports. An operator researching a market could hand it a goal with the target sites and let it navigate, gather, and act across tabs, stepping in only to confirm a key decision.

• Pros: Plan-then-act workflow with review and real-time intervention; deep search across logged-in sites with cited reports; cross-site automation for forms, scraping, and files.
• Cons: Spark credits burn unpredictably on complex workflows; it asks you to switch into a new primary browser environment; desktop builds are still maturing.
• Price: Free tier with 1,000 Sparks (~4 tasks); Plus $19/mo; Pro $39.99/mo; Ultra $199.99/mo.
• Skip it if: You need an agent that runs quietly in the background on your own machine — OpenClaw fits that bill better.

→ Full profile: Fellou

7. Agent.ai — best for buying a ready-made agent per task

Agent.ai is a marketplace of prebuilt agents you deploy on demand, which makes it the fastest way to ship a repeatable job without building infrastructure. You browse a catalog, pick an agent, and pay per task rather than wiring up your own pipeline. A founder could assemble a lightweight workflow from published agents — a lead scraper plus a follow-up drafter — without touching code or standing up a server.

• Pros: Catalog of ready agents; pay-per-task model; no build required.
• Cons: Quality varies by individual agent; you get less control than a custom build.
• Price: Pay-per-task, variable; there is no fixed subscription.
• Skip it if: You need deep, auditable control over how the agent works — Suna or OpenClaw give you the engine, not a black box.

→ Full profile: Agent.ai

8. MultiOn — best for a lightweight web-action agent

MultiOn sends agents to actually click through the web, which makes it clever for concrete chores like booking a table or filling a form on a live site. It is browser-native and developer-friendly, with a browser automation API for teams that want to embed actions in their own products. An operator could ask it to “add this item to my cart on site X” and let it complete the steps, then verify the result before checking out.

• Pros: Agents that act on real websites; strong at bookings and forms; browser-native and developer-focused.
• Cons: Fragile on dynamic or messy pages; credit-based pricing.
• Price: Free trial available; API usage-based for developers.
• Skip it if: Your tasks span many sites with inconsistent layouts — Fellou’s plan-then-act model is more robust there.

→ Full profile: MultiOn

OpenClaw vs OpenWorker: the local-first showdown

Both OpenClaw and OpenWorker earned a 4.5 in our evaluation and both keep your data on your own machine, but they target different habits. OpenClaw is a personal operations layer: it lives in your chat apps, wakes on a heartbeat, and is happiest controlling files, browser, calendar, and messaging through thousands of community skills. OpenWorker is a desktop product built around deliverables: it returns finished documents and reports with an approval UI and 25+ built-in connectors. Choose OpenClaw if you want an always-on assistant in Slack or WhatsApp; choose OpenWorker if you want a coworker that hands back a file and gates every write behind your sign-off.

How to choose

• Privacy-first technical user → OpenClaw or OpenWorker, both free to self-host.
• Non-technical operator who wants results fast → Fellou for an agentic browser, or Dia for in-tab assistance.
• Team that needs role-based work and governance → MagiCrew with its approval gates and budget controls.
• Builder who wants to audit every step → Suna for a self-hosted, open-source runtime.
• Someone who just wants to buy a task, not run infra → Agent.ai or MultiOn.

Related tools & guides

• Manus — a polished hosted generalist agent for deep solo tasks.
• AutoGPT — the early open-source autonomy experiment worth knowing.
• n8n — a visual workflow automator for deterministic pipelines.
• Best AI Agents 2026 — our broad ranking of autonomous agents.
• Best No-Code AI Agent Builders 2026 — build your own without code.
• How to Build an AI Knowledge Base 2026 — wire agents into your docs.