搞 AI Agent 的，迟早会碰到一个问题：模型生成的代码，到底放哪儿跑？
This is a dev post classified by Jev as Hosting & infra (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
搞 AI Agent 的，迟早会碰到一个问题：模型生成的代码，到底放哪儿跑？ 腾讯云开源的 CubeSandbox，就是专门解决这个问题的。 它基于 RustVMM + KVM，每个 Agent 沙箱都有独立的 Guest OS 内核，属于 MicroVM 隔离，不是普通容器共享内核的方案。 几个比较亮眼的点： ① 冷启动平均 60ms 内 ② 单实例内存开销 低于 5MB ③ 原生兼容 E2B SDK，改一个 URL 就能迁移 ④ 支持单机部署，也能扩展到多节点集群 对于需要让 Agent 执行 Python、Shell 或其他代码的场景，这种沙箱就比较实用了。 而且现在已经不只是基础代码执行，还在往快照、回滚、自动暂停等 Agent 工作流能力扩展。 🔗 https://github.com/TencentCloud/CubeSandbox
Posted by lumxss (24.8k followers) 1 days ago · 6 likes · 704 views · view the original post on X. Kept by the Dev Radar as Hosting & infra. Tools mentioned: cubesandbox.
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