Orgo

Cloud computers built for AI agents to operate autonomously.

4.5 (4)

Recenzirao Daniel Nikulshyn·Ažurirano svibanj 2026.

Pregled

Orgo provides virtual computer environments designed specifically for AI agents to use. Instead of relying on brittle API integrations, agents can interact with a full desktop—clicking, typing, browsing, and running applications—much like a human would. Developers can spin up sandboxed machines through Orgo's SDK and connect them to language models or agent frameworks. This makes it possible to automate complex multi-step workflows that span web browsers, productivity software, and custom desktop apps, all within a controlled, observable environment. The platform targets teams building computer-use agents, RPA replacements, and autonomous task runners that need real operating system access rather than narrow tool calls.

Ključne značajke

Virtual cloud computers for agents
Programmatic SDK access
Sandboxed desktop sessions
Compatible with major LLM providers
Screen, mouse, and keyboard control
Persistent or ephemeral environments

Prednosti i nedostaci

Prednosti

Full desktop environment for broader agent capabilities
Sandboxed and isolated execution
SDK simplifies integration with agent frameworks
Supports workflows beyond what APIs allow

Nedostaci

Requires developer expertise to implement
Computer-use agents can still be slow or error-prone
Cloud compute costs may scale with usage

Recenzije

4.5

Prosjek iz 4 ocjena.

Prijavi se za ostavljanje recenzije.

Grace Okafor

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on screen, mouse, and keyboard control, and full desktop environment for broader agent capabilities caught me off guard. still, I'd recommend giving it a real trial.

Sofia Lindqvist

Solid for our team

We rolled this out across the team last quarter and supports workflows beyond what APIs allow. Programmatic SDK access fits neatly into how we already work, and sandboxed desktop sessions removed a step we used to do by hand. Cloud compute costs may scale with usage, which is the main caveat, but it has held up under daily use.

Olga Ivanova

Years in this space

I've evaluated a lot of these over the years. What stands out here is programmatic SDK access — handled better than most — and sDK simplifies integration with agent frameworks. Computer-use agents can still be slow or error-prone is my one real gripe. Worth the time if this is your use case.

Sanjay Gupta

Does the job

Pretty happy overall. Compatible with major LLM providers just works and supports workflows beyond what APIs allow. but no dealbreakers — I'd recommend it to a friend without hesitating.