Cursor 现已支持用户在其自有基础设施上运行其 AI 代理，从而提供更大的控制力和定制性。此功能允许代理访问内部服务或专用硬件，同时将代理循环保持在 Cursor 内部。该系统支持各种沙盒提供商，并可根据需求自动扩展机器池。 AI
影响 通过允许与私有基础设施和自定义硬件集成，增强了使用 AI 代理的开发人员的灵活性。
排序理由 AI 辅助工具（IDE）的产品更新
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
Cursor AI IDE 支持用户在自定义基础设施上运行代理
本文如何被排名
- Signal score
- 14 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Tool
- AI 辅助工具（IDE）的产品更新
- Source corroboration
- 2 independent sources
- Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
- Topics
- product, infra
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- High
- Clearly on-topic for AI-industry coverage.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [2]
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在您管理的机器上运行代理，或通过 AWS Lambda、Coder、Cloudflare、Daytona、E2B、Modal、Namespace 和 Vercel 等受支持的沙盒提供商运行。
Run agents on machines you manage or through supported sandbox providers like AWS Lambda, Coder, Cloudflare, Daytona, E2B, Modal, Namespace, and Vercel. https://t.co/rXltJ3fgD3
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您现在可以在自己的基础设施上运行 Cursor 云代理，包括可根据需求自动扩展的机器池。
You can now run Cursor cloud agents on your infrastructure, including pools of machines that automatically scale with demand. This lets you give agents access to internal services or specialized hardware, while the agent loop stays in Cursor. https://t.co/BUdeFDRsz7