Comparing Agent Sandboxes: Containers, Firecracker, gVisor and WebAssembly

On 21:00 on 2026-11-10, the AI section of DEV Community published a technical comparison titled "AI Agent 沙箱怎么选：容器、Firecracker、gVisor 与 WebAssembly 对比" ("How to Pick an AI Agent 沙箱: Container, Firecracker, gVisor, and WebAssembly Compared"), walking through four Agent sandbox approaches: 容器, Firecracker, gVisor, and WebAssembly. The piece opens with the situation it sees: Agents now write and run programs on their own, often after reading text they did not write, for example a web page, an email, or a document. That text can steer the agent, so the code it produces needs a wall around it. The core design question the article frames is where to put that wall: a wall close to the program is cheap and fast but has more places to leak, while a wall around a whole virtual computer is stronger but heavier. On 容器, the article's characterization is that a container runs as an ordinary process on the host, fenced in by operating system features. Only this one report on the topic has been collected so far, so details on how each approach is implemented, and any firm selection conclusions, cannot be confirmed from the available material.