
OrgoCloud computers built for AI agents to operate autonomously.
Overview
Key features
- 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
Pricing
- Model
- Free
- Category
- AI Agents Platform
- Rating
- 4.5 / 5 (4)
Use cases
Autonomous AI Operations
Orgo enables AI agents to run autonomous computer operations, hosting and utilizing their existing models and agents.
Secure AI Workspaces
Orgo provides private and encrypted cloud computers for AI agents, ensuring secure operations and data management.
Flexible AI Infrastructure
Orgo allows for the hosting of various AI models, such as Claude, GPT, Gemini, and custom models, at any scale.
Pros & Cons
Pros
- Full desktop environment for broader agent capabilities
- Sandboxed and isolated execution
- SDK simplifies integration with agent frameworks
- Supports workflows beyond what APIs allow
Cons
- Requires developer expertise to implement
- Computer-use agents can still be slow or error-prone
- Cloud compute costs may scale with usage
Reviews
Average from 4 ratings.
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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.
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.
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.
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.
Q&A
What are the cost considerations when running agents on Orgo’s cloud computers?
Orgo charges based on the compute resources (CPU, RAM) and the duration the virtual computers run; because agents may be slow or run long workflows, costs can scale with usage, especially for always‑on or high‑performance instances.
Asked by Frank Müller · Aug 16, 2025
Can I integrate Orgo with existing LLM providers or agent frameworks?
Yes, the platform is compatible with major LLM providers and includes an OpenAI‑compatible chat endpoint, allowing you to connect your language model or agent framework directly to the cloud computer via the SDK.
Asked by Adaeze Uche · Aug 15, 2025
What operating systems and compute resources can I choose for the sandboxed environments?
Orgo offers Linux and Windows on every plan (Mac is in closed beta). You can resize CPU and RAM on demand, with bare‑metal performance, and select persistent or ephemeral instances depending on your workload.
Asked by Malik Rasheed · Jul 21, 2025
How do I provision a cloud computer for my AI agent and how quickly is it ready?
You spin up a virtual machine via Orgo’s REST API, Python SDK, CLI, or WebSockets; a full Linux or Windows desktop becomes available in under 500 ms, ready for the agent to see, click, type, and run applications.
Asked by Nadia Benali · Jul 18, 2025
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