Orgo

About Orgo

Orgo gives you one visual dashboard to manage the cloud computers running your AI agents. If you run an agency that sets up and manages agents for clients, this is where I would start: separate computers for their work, desktops you can open in your browser, and a central place to manage the fleet.

It's an especially good fit for always-on agents like Hermes Agent. Give the agent its own computer and it can keep working after you close your laptop, with its tools and files in place. You can use the same setup for your own assistant; you do not need an agency or a fleet of machines to get value from it.

The appeal is making agent hosting easier to manage. Orgo brings the desktop, browser access and ready-made agent templates together instead of making you assemble them yourself. Plans start at $29 per month for one Linux computer with 8GB of RAM and 40GB of storage; model access and connected services are separate parts of the setup.

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What is Orgo?

Orgo is a platform for running and managing persistent cloud computers for AI agents. Each computer has a desktop, browser, terminal and filesystem. From the dashboard, you can access the computers in your workspace, open their desktops and manage their resources; developers can also control them through an API.

There are two ways to use it. You can install an agent inside the computer, giving it somewhere to run and store its work. Or you can run an agent elsewhere and let it control an Orgo computer through screenshots, mouse actions, keyboard input and shell commands.

For example, a research agent could use the browser to collect information, download a spreadsheet, process it in the terminal and save a report. Those steps share one filesystem instead of passing files between unrelated execution environments. You still need to configure the agent and its tools for that workflow.

This makes Orgo more relevant when work crosses the browser, command line and desktop. If the whole job is one API call, a full cloud computer may be unnecessary.

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Who is Orgo for?

Agencies managing AI agents for clients are the strongest use case. Once you are responsible for several deployments, being able to find the right computer, open its desktop and maintain its setup from one place becomes much more useful than simply having another server.

You could give each client a separate computer and organize the work by project, with team access scoped to the relevant work. That gives you a practical way to manage client environments without putting every agent's files and applications on your own laptop.

Individuals get the same benefit on a smaller scale. Orgo supports hosting both Hermes Agent and OpenClaw, including their gateways and saved state. A personal assistant can have its own computer that stays online while yours is closed. The dashboard and templates make this more approachable than assembling a remote desktop yourself, though you still need to connect the agent's model and accounts.

Developers can also control those computers from code when a workflow needs desktop software or an interface without a suitable API.

I would not start here if you only want to ask AI questions or generate a website from a prompt. Our guide to AI app builders and vibe coding tools covers that second job more directly. Orgo supplies the computer; you choose and configure what runs on it.

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Orgo pros and cons

For an agency, the strongest reason to pay is having the computers and their desktop controls together in one system. For an individual, it is an accessible way to give an always-on agent a home away from the laptop.

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Orgo features: visual management and always-on agents

One dashboard for client computers

Orgo's dashboard brings computer management and live desktop access into the browser. You can organize computers by project, scope team access to the work and open an individual desktop when you need to inspect it or use its apps yourself.

For an agency, that could mean a research agent on one client's computer and an operations assistant on another. Each environment keeps its own installed tools and files, while your team manages the computers through the same visual system.

That is the management layer I would want when taking responsibility for clients' agents. It gives you access to their working environments; the agents' instructions, integrations and tasks still live in the agent software you choose.

Always-on hosting for Hermes Agent

Orgo computers stay online until you stop them. That makes them a natural fit for Hermes Agent: the agent, its tools, gateway and learned skills can live on the cloud computer, while you connect from other devices.

A configured Hermes setup can handle recurring work without depending on your laptop staying awake. Its files, installed applications and configuration remain on disk between sessions, whether you are running your own assistant or maintaining one for a client.

That persistence has a specific limit. Stopping a computer archives its disk; starting it again restores the disk on a fresh host. Running processes and in-memory state are not preserved. A long-running task needs its own checkpoints or restart behavior if you want it to recover after a stop.

Keep the agent's gateway, scheduler or service running alongside the computer so it can receive requests and perform scheduled work.

Desktop control alongside shell commands

Orgo exposes screenshots, clicks, typing, scrolling and dragging, as well as command execution and file operations. An agent can use a terminal for a script and switch to the graphical interface when an application requires it.

You can also view the desktop through the browser dashboard. That gives you somewhere to inspect what the agent is doing instead of relying entirely on its text description of the screen.

The selected model still has to interpret the interface and choose the right action. Providing mouse controls does not make every website or desktop workflow reliable.

API, SDK, CLI and MCP access

Developers can integrate through REST or the Python and TypeScript SDKs. The CLI handles computer management and interaction from a terminal, while MCP lets compatible clients access Orgo's tools.

The hosted MCP connection supports authorization scoped to a selected workspace. This can be useful when an assistant needs access to one project's computers rather than the whole account.

Orgo also offers an interactive terminal command called orgo ssh. Its documented transport is WebSocket, so I would not treat that name as a promise of a conventional public SSH server.

Templates and multiple computers

Paid plans can launch curated templates, including Hermes Agent, OpenClaw and Claude Code. Templates reduce the amount of software setup you repeat when creating another environment.

Creating, building and test-running your own templates requires Scale. That distinction matters if your plan is to distribute a repeatable environment across several clients or projects rather than launch a ready-made agent setup.

You can resize resources and add capacity, but the plan's RAM and storage are shared totals. The current instance documentation also caps a single computer at 4 vCPU, 64GB of RAM and 300GB of disk, with lower limits possible on individual plans. A larger subscription is not one unrestricted workstation.

Networking has practical limits

Orgo does not give each computer a conventional public inbound hostname. Its agent guides favor outbound connections such as Telegram long polling or Slack Socket Mode; authenticated proxy access handles supported HTTP use cases.

That is workable for many personal agents, but it matters if you expect a drop-in web server with arbitrary public endpoints.

Websites can also challenge datacenter IP addresses. Orgo documents a bring-your-own browser proxy option for Linux, but it applies to browser traffic rather than every program and does not guarantee a site will accept automated access.

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Orgo pricing: plans and costs

Orgo's self-serve plans are paid subscriptions. The annual option charges the following totals upfront:

Those are total plan allowances. Startup's 32GB of RAM is shared across its computers; it is not 32GB for each of the four machines.

Hacker includes one team member and $5 in monthly AI credit. Startup increases that to five team members and $10 in credit. Scale includes 25 team members, $50 in credit, Windows access and custom templates. Linux is available on every plan, while Mac remains in closed beta.

Model spending needs its own budget. You can use your own provider keys or managed model access, and included credit is not an unlimited allowance. Additional capacity, storage, bandwidth and AI usage can also affect the bill.

Stopping a computer is not the same as cancelling your subscription. Orgo says a stopped computer incurs no compute cost, but purchased capacity and subscription commitments follow their billing terms.

For your own Hermes Agent, Hacker is the natural starting point. Startup is the more relevant agency plan when you need several client computers and team access: it includes four computers and five team members. Scale expands that to 16 computers and 25 team members, with custom templates for repeatable deployments. I would choose based on the client environments you need to support, then budget model usage separately.

Explore Orgo's plans and start with one computer.

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Orgo alternatives

The useful comparison is what you need the environment to do. A browser platform, a programmable sandbox and a general-purpose server solve overlapping but different problems.

Choose Browserbase when the work is primarily on websites and you value browser tooling, session observability and frameworks such as Playwright or Stagehand. It also offers agent runtime and model services, so describing it as merely a remote browser tab would undersell the current platform.

Choose E2B when you are building around programmable sandboxes. It supports full desktop templates and pause/resume that normally preserves both filesystem and memory. It is not limited to disposable code execution. Its published Hobby and Pro continuous-session limits are one hour and 24 hours respectively, which is a different operating model from Orgo's continuously running computers.

Choose DigitalOcean when you want a conventional Linux server and are comfortable administering it. The $4 entry plan is not an equivalent machine to Orgo Hacker: DigitalOcean's listed Basic Regular configuration with 8GiB of RAM costs $48 per month and has different CPU and storage specifications. Compare the configuration and operating work, not just the lowest advertised price.

Of these options, Orgo is my pick for an agency that wants to manage persistent agent computers through a visual dashboard. Browserbase and E2B make more sense when you are building around their browser or sandbox tooling; DigitalOcean suits someone who wants to administer the server environment themselves.

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Verdict

Orgo is my pick for agencies that want one visual place to manage the computers running their clients' AI agents. Separate environments, browser-based desktop access and ready-made templates make it a compelling alternative to piecing together that setup across a collection of servers.

It is equally useful if you just want your own always-on Hermes Agent. Start with one computer, connect the model and services your agent needs, and keep its work off your personal machine. You can return to its desktop from your browser without leaving your laptop running all day.

Choose Hacker for a personal agent or Startup when you need several computers and team access. The main reasons to look elsewhere are specific requirements such as generally available Mac hosting or conventional public server endpoints, rather than a lack of room to grow beyond your first agent.

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FAQ

Is Orgo an AI agent?

Orgo provides the computer and ways to control it. You can install an agent such as Hermes or OpenClaw, or connect a computer-use model from your own application. Those are separate components.

Is Orgo free?

Running a computer requires a paid plan, starting at $29 per month. Orgo's template documentation gives free accounts a zero-computer quota. Included AI credit on paid plans does not make the computer or ongoing model usage free.

Can I use Orgo to manage AI agents for clients?

Yes. You can run agents on separate cloud computers, organize computers by project and manage them through Orgo's dashboard. Startup includes four computers and five team members; Scale includes 16 computers, 25 team members and custom templates. You remain responsible for configuring each client's agent and connected services.

Do I need to be a developer to use Orgo?

You do not need to build against Orgo's API to use the browser dashboard and ready-made agent templates. They handle much of the computer setup, but the agent still needs model access, account connections and instructions. More complex integrations can require technical work.

Can Orgo run Hermes Agent and OpenClaw?

Yes. Orgo provides hosting guides and curated templates for both. You still need to configure model access, connected accounts and any messaging channels the agent will use.

Does Orgo support Windows or Mac?

Linux is available on all plans. Windows is available on Scale and through Enterprise offerings. Mac is in closed beta, so it should not be treated as generally available self-serve hosting.

Will an agent keep working when my laptop is closed?

It can if the agent itself runs on Orgo and its required services remain active. If the controlling agent runs on your laptop and only uses Orgo as a remote computer, putting the laptop to sleep can still interrupt that agent.

Does the subscription include model costs?

Plans include a limited amount of monthly AI credit. You can also connect your own model-provider keys, in which case that provider's charges remain separate. The hosting price is not an all-in unlimited-agent subscription.