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Orgo云端计算机为 AI 代理进行独立运作而设计。

4.5 (4)
Daniel Nikulshyn审阅者 Daniel Nikulshyn·更新 2026年7月

概览

Orgo 提供专为 AI 代理设计的虚拟计算机环境。与其依赖脆弱的 API 集成,代理可以像人类一样在完整的桌面上点击、键入、浏览并运行应用程序。 开发者可以通过 Orgo 的 SDK 启动沙盒化机器,并将其连接到语言模型或代理框架。这样就能在受控、可观察的环境中,自动化跨越网页浏览器、生产力软件以及自定义桌面应用的复杂多步骤工作流。 该平台针对需要真正操作系统访问权限而非仅仅有限工具调用的团队,帮助他们构建计算机使用代理、RPA 替代方案和自主任务运行器。

主要功能

  • 为代理提供虚拟云计算机
  • 程序化 SDK 访问
  • 沙盒式桌面会话
  • 兼容主流 LLM 提供商
  • 屏幕、鼠标和键盘控制
  • 持续的还是临时环境

价格

模型
Free
评分
4.5 / 5 (4)

使用场景

自治 AI 运营

Orgo 使 AI 代理能够在托管且利用其现有模型和代理的环境中运行独立的计算机运营。

安全的 AI 工作空间

Orgo 提供专用和加密的云计算机环境

灵活的 AI 基础设施

Orgo 允许在任意规模上托管各种 AI 模型,例如 Claude、GPT、 Gemini 和定制模型。

优点 & 缺点

优点

  • 全桌环境扩展代理功能
  • 沙盒式隔离执行
  • SDK 简化与代理框架的集成
  • 支持超出 API 允许的工作流
  • 缺点:

缺点

  • 需要开发者专业知识来实施
  • 计算代理仍可能缓慢或容易出现错误
  • 云计算成本可能与使用量相关

评测

4.5

4 个评分的平均值。

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Grace Okafor

Jan 2, 2026

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

Sofia Lindqvist

Jul 25, 2025

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

Olga Ivanova

Jul 12, 2025

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.

SG

Sanjay Gupta

Jun 18, 2025

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.

问答

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

提问

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