Orgo
Cloud desktop infrastructure for autonomous agents — spin up full virtual machines that models like Claude, GPT, and Gemini can see and control.
Product Overview
What is Orgo?
Orgo is a developer platform that provides on-demand cloud desktop environments purpose-built for computer-use agents. Instead of running AI agents on local machines with no isolation or scalability, Orgo provisions full Ubuntu (and Windows beta) virtual machines in under 500ms — each sandboxed, independently resourced, and controllable via screenshots, mouse, and keyboard. Developers integrate via a REST API or Python/TypeScript SDK, and can bring their own model or use Orgo's hosted agent. The platform handles fleet management, parallel execution, and production scaling, turning fragile agent experiments into reliable, deployable infrastructure.
Key Features
Sub-500ms Desktop Boot
Full virtual desktop environments launch in under 500ms, enabling rapid agent provisioning and near-instant task execution at scale.
Bring Your Own Model
Model-agnostic by design — works with any computer-use capable model including Claude 3.5/3.7/4, GPT-4o, and Gemini 2.5, with no lock-in to a single provider.
Full Desktop Control
Agents interact with the OS through screenshots, mouse clicks, keyboard input, and code execution — capable of operating any desktop application, not just web pages.
Isolated Sandboxed VMs
Every workspace runs in its own virtual machine with dedicated resources, fully isolated from other sessions for security and data integrity.
Pre-configured Templates
Set up environments with pre-installed software so agents can start working immediately without setup overhead on each session.
Developer-First SDK & API
Simple Python and TypeScript SDKs let developers provision, control, and scale desktop instances programmatically with minimal boilerplate.
Use Cases
- Automated QA Testing : Spin up a clean desktop, have an agent physically navigate through your app's UI, and capture bug reports — without touching local machines.
- Web Research & Data Collection : Deploy parallel agent fleets to browse websites, extract information, and compile structured reports autonomously across many sessions simultaneously.
- RPA & Workflow Automation : Automate repetitive desktop workflows across apps like spreadsheets, dashboards, or internal tools that lack APIs.
- Secure Sandboxed Execution : Run high-risk tasks — such as analyzing untrusted files or interacting with unknown environments — inside disposable VMs that are destroyed after use.
- Agent Prototyping & Debugging : Use the visual playground dashboard to observe agents in real time via live screenshots before moving to production API deployments.
FAQs
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