sbx
A lightweight sandbox tool built on Linux kernel security features—seccomp, namespaces, and cgroups—that further restricts in-container process privileges through a system call allowlist. It complements Docker's container-level isolation with an additional security layer.
Timeline (last 90 days)
Running AI agents in a sandbox achieves the principle of least privilege: filesystem isolation, network control, and disposability whereby resources can be destroyed upon completion of a run.
sbx is a lightweight sandbox tool built on Linux kernel security features such as seccomp, namespaces, and cgroups.
sbx further restricts the system call whitelist on top of Docker containerized isolation, allowing processes to invoke only explicitly permitted kernel interfaces, thereby reducing the possibility of privilege escalation attacks.
Combining Zed + ACP + Docker + sbx enables running AI programming agents in a locally secure, isolated environment.
Sandboxing cannot fundamentally eliminate prompt injection, but by restricting outbound network access and the scope of file access, it can significantly reduce the damage caused by a successful injection.
Sandboxing increases configuration complexity, may affect an agent's normal access to certain local resources, and also raises performance overhead and debugging difficulty.
sbx is a lightweight sandbox tool that provides an isolated environment for executing AI-generated code.
All Facts (7)
Running AI agents in a sandbox achieves the principle of least privilege: filesystem isolation, network control, and disposability whereby resources can be destroyed upon completion of a run.
50%Unverifiedsbx is a lightweight sandbox tool built on Linux kernel security features such as seccomp, namespaces, and cgroups.
50%Unverifiedsbx further restricts the system call whitelist on top of Docker containerized isolation, allowing processes to invoke only explicitly permitted kernel interfaces, thereby reducing the possibility of privilege escalation attacks.
50%UnverifiedCombining Zed + ACP + Docker + sbx enables running AI programming agents in a locally secure, isolated environment.
50%UnverifiedSandboxing cannot fundamentally eliminate prompt injection, but by restricting outbound network access and the scope of file access, it can significantly reduce the damage caused by a successful injection.
50%UnverifiedSandboxing increases configuration complexity, may affect an agent's normal access to certain local resources, and also raises performance overhead and debugging difficulty.
50%Unverifiedsbx is a lightweight sandbox tool that provides an isolated environment for executing AI-generated code.
50%