Orgo vs Amazon WorkSpaces for AI agents in 2027

Where each one puts your agent's computer, who controls it, what it costs, and which fits a vertical agent product versus Windows apps inside your own AWS account.

OrgoUpdated November 5, 2026

Quick answer: pick Orgo when you're building an agent product and need a cloud computer per customer, task or agent from one API call, with a live screen you can embed in your own app. Pick Amazon WorkSpaces for AI agents when the agent has to operate Windows business applications your company already runs in its own AWS account, under IAM and Active Directory.

TL;DR

Orgo gives each agent its own virtual machine with a full desktop, a browser, a terminal and its own disk, reachable over a REST API, the CLI, SSH on Linux, a VNC WebSocket and MCP. Linux runs on every plan. Windows is included on Scale, or $47 a month per machine on Starter and Growth (pricing).
Amazon WorkSpaces for AI agents gives an agent a desktop configured with the applications you choose, through a managed WorkSpaces Applications environment and a standard MCP endpoint, authenticated through IAM (AWS). AWS's product page shows a Windows desktop, and its developer guide also lists Linux. It has been generally available since June 30, 2026.
The split is who you build for. Orgo is the computer layer for agent products you sell to many customers. WorkSpaces brings agents to the desktop apps inside one company's AWS account.

An AI agent desktop is a remote computer an AI model operates the way a person would: it reads the screen, clicks, types and runs programs. The model decides what to do. The desktop platform decides what kind of machine those actions land on, where it runs, what it costs and who can watch.

How do Orgo and Amazon WorkSpaces compare?

	Orgo	Amazon WorkSpaces for AI agents
What the agent gets	Its own VM with desktop, browser, terminal and disk	A desktop with the applications you configure
Operating systems	Linux on every plan. Windows on Scale, or $47/mo per machine on Starter and Growth	Windows Server, Windows 11 with your own license, and Linux
Where it runs	Orgo's cloud	Your AWS account
How you connect	REST API, CLI, SSH on Linux, VNC WebSocket and an MCP server	A managed MCP endpoint
Authentication	Orgo API keys, scoped to the account, one workspace or one computer	IAM; agents can assume Active Directory identities on domain-joined fleets
How the agent acts	Whatever your model does: screenshots, clicks, keys, bash	Vision-driven desktop actions, plus MCP tool forwarding when a tool exists
Watching sessions	Embed the live screen in your app over noVNC; invite people to the workspace	View-only observation, with pause and stop
Audit trail	Workspace activity under Settings, Activity	CloudTrail logs every tool call; CloudWatch metrics; screenshots in S3
Price model	A plan from $29/mo, or by the second from credit ($0.055/hr for a running Medium)	Streaming instance hours, plus a $0.05/hr MCP session fee and a $6.42/mo Windows user fee
Best fit	Agent products that need a computer per customer	Back-office agents on existing Windows apps inside AWS

WorkSpaces facts come from the WorkSpaces for AI agents page, its prerequisites and WorkSpaces Applications pricing, as of November 2026. Orgo facts come from Orgo's pricing and docs. Neither column is a benchmark.

What does each one cost?

Prices as of November 2026, for one agent desktop running around the clock. Orgo's hourly figure uses 730 hours a month, and AWS's example uses 24 hours a day for 30 days.

	Orgo	Amazon WorkSpaces for AI agents
Linux, always on	Starter plan: $29/mo for 1 Medium (2 vCPU, 8 GB RAM, 40 GB disk)	Instance hours plus the $0.05/hr session fee, no Windows user fee. AWS publishes no Linux agent example
Linux, by the hour	$0.055/hr running, $0.0027/hr stopped, billed by the second (about $40/mo always on)	The same rates, for the hours you use
Windows, always on	Starter $29 + Windows computer add-on $47 = $76/mo, or included on Scale ($399/mo for 16 Mediums)	AWS's own example: $113.92/mo for a stream.standard.medium in us-east-1 ($78.42 instance and user fee, $35.50 session fee)
Free allowance	A new account can get $5 of starting credit	10 free session hours per Region each month

On Orgo, an account can hold 50 computers on any paid plan. Past the plan's own room, a computer needs an add-on or runs by the hour from credit, and past 50 a new computer runs by the hour, up to 999 an account (account limits). On WorkSpaces, the session fee only applies while the agent is connected, but the instance fee follows your fleet type (AWS pricing).

When is Orgo the better fit?

When the agent is your product and every customer needs its own computer.

A computer per customer. One API call creates a computer. An account can hold 50 on any paid plan, with add-ons or credit past the plan's own room, and up to 999 by the hour. More in Scale AI agent computers to thousands.
One workspace per client. A workspace keeps a client's computers, agents, connected apps and secrets apart from everyone else's. On a paid plan, Invoicing can create a workspace and a key scoped to it for each client from your own app (Workspaces, members and clients). See How do you give every customer of your vertical agent its own computer?
The screen inside your product. Each computer streams over one WebSocket URL, so a noVNC client in your app can show the live desktop. See How to embed a live AI agent computer in your app.
No cloud project to set up. No IAM roles, fleets or images to build first. Any MCP client can also connect through Orgo MCP.
Copy a working setup. Fork, clone, suspend and stop let you reuse a configured computer or pause one with its memory saved (suspend and fork are for Linux computers, and a computer billed by the hour can't be suspended, cloned or forked). See How do you pause, fork, or clone an AI agent's computer?

You can bring your own agent (Claude computer use, OpenAI's computer-use model, Gemini, or your own loop), or launch one of Orgo's ready-made agent templates such as Hermes Agent or OpenClaw.

When does Amazon WorkSpaces make more sense?

When the work lives in Windows desktop applications your company already runs in AWS and can't expose through an API. AWS positions it for back-office work such as invoice entry and reconciliation, claims and compliance checks, and moving records between HR and benefits systems (AWS).

Its strength is governance inside an AWS account you already run. On domain-joined fleets, agents assume known identities in your Active Directory, so the access policies you apply to people apply to agent sessions too, and every tool call lands in CloudTrail.

The tradeoff is that it's built around one organization's AWS account and its desktop apps, not around handing a fresh computer to each of your own customers. AWS also lists limits: one agent connection per session, and no multi-session or elastic fleets (prerequisites).

What about Windows on Orgo?

Windows is included on the Scale plan. On Starter and Growth, you buy a Windows computer under Settings, Plan & billing, Computers: $15 a month for the license plus a Medium's memory, vCPU and disk, $47 in all. Licenses are a count: hold three, run three Windows machines. Windows needs at least 8 GB of RAM, so the Small size is Linux only (pricing).

Creating a Windows computer without Scale or an unused license returns 403 with code WINDOWS_REQUIRES_SCALE (account limits).

Can I use both?

Yes. One split is WorkSpaces for agents that touch internal Windows systems behind your AWS identity, and Orgo for the per-customer computers inside the agent product you ship. Both speak MCP, so the same agent framework can call either, as long as it can make the SigV4-signed requests AWS requires.

If you're moving AI worker seats off VDI more broadly, see Citrix and Horizon seats for AI workers.

FAQ

Is Amazon WorkSpaces for AI agents an agent?

No. AWS describes it as a managed desktop environment that your existing agent framework and model connect to through an MCP endpoint (AWS).

Is Orgo an agent?

Orgo is the computer. You can bring any model or agent loop, or launch a ready-made agent template like Hermes Agent or OpenClaw on an Orgo computer.

Which one runs Linux desktops?

Both. Orgo runs Linux on every plan. AWS's prerequisites list Linux for agent access, on AWS-provided base images.

Do I need an AWS account to use Orgo?

No. You create computers with an Orgo API key.

Can my customers watch the agent work?

On Orgo, yes. Embed the live screen in your app, or invite people to the workspace. An embed is not a read-only mode: it signs in with the computer's password, which is root on that computer, so a view-only setting in your page doesn't protect it (Embed computers). Can chat members watch screens with their input dropped on the server, and despite the name they can't chat with the workspace's agents (Workspaces, members and clients). On WorkSpaces, you can observe sessions view-only and pause or stop them.

Which is cheaper for one always-on agent?

On Linux, Orgo's Starter plan is $29 a month for one always-on Medium. AWS publishes no Linux agent example, so price it from the instance rate plus the session fee. For one always-on Windows desktop, AWS's own example comes to $113.92 a month, and Orgo is $76 (Starter plus a Windows computer, which also leaves you the plan's Linux Medium). Prices as of November 2026; check both pricing pages before you decide.