
A rootless Linux sandbox for developers
Drop is a rootless Linux sandbox designed for developers to isolate programs and coding agents without leaving their familiar work environment. It solves the problem of security risks associated with running untrusted third-party code or autonomous coding agents with dangerous permissions.
By creating disposable, isolated environments inspired by Python's virtualenv, Drop hides your actual home directory and restricts network access. It is built for Linux developers who want to run AI agents or install third-party packages from sources like PyPI and npm safely and with zero container setup work.
Run agents with --dangerously-skip-permissions while Drop enforces permissions at the OS level: a hallucinated rm -rf ~ doesn't touch your real home dir, prompt injections targeting ~/.ssh find nothing, and connections to localhost services are rejected.
Install packages from PyPI, npm, or other sources without granting them full access to your user account, containing damage from malicious or compromised software in supply chain attacks.
Create and enter easily disposable environments, each with its own home directory, while the original home is hidden — modeled on the virtualenv workflow.
No container setup work required: every program already installed on your system is available in the sandbox, unlike Docker/Podman-based approaches.
A high-level TOML config specifies which files, directories, and local network services are exposed to the sandbox. Environments share a base config by default, so you configure Drop once and create new environments with no extra setup.
Runs without root inside a Linux user namespace with its own process, mount, network, IPC and cgroup namespaces, and drops all user namespace capabilities before executing the sandboxed program.
Programs can run on the gVisor user-space kernel as an additional isolation layer that prevents direct access to the host kernel, reducing the potential to exploit kernel vulnerabilities.
Drop creates disposable, isolated environments similar to Python virtualenvs, each with its own home directory while your original home is hidden from the sandbox.
You specify which files, directories, and local network services the sandbox can access using a high-level TOML config; all environments share a configurable base config by default.
Drop runs rootless within Linux user, process, mount, network, IPC and cgroup namespaces, drops all user namespace capabilities before execution, and can optionally run programs under the gVisor user-space kernel.
Drop is a rootless Linux sandbox for developers that isolates programs and coding agents without taking you out of your familiar work environment.
Drop enforces permissions at the OS level. You can run agents with --dangerously-skip-permissions and a hallucinated rm -rf ~ won't touch your actual home directory, a prompt injection targeting ~/.ssh finds nothing, and connections to services on localhost are rejected.
No. Drop doesn't require root and doesn't use Docker or Podman containers. It runs within a Linux user namespace with its own process, mount, network, IPC and cgroup namespaces, and uses your existing distribution so already-installed programs are available in the sandbox.
Inspired by Python's virtualenv, Drop lets you create easily disposable environments. Each environment has its own home directory while your original home is hidden.
Yes. A high-level TOML configuration lets you specify which files, directories, and local network services are exposed to the sandbox. By default all environments share a base config, so you configure Drop once and create new environments without additional configuration work.
As an option, Drop supports running programs on the gVisor user-space kernel, an additional isolation layer that prevents programs from accessing the host kernel directly, significantly reducing the potential to exploit kernel vulnerabilities.
Drop is a Linux sandbox. It relies on Linux user namespaces and related kernel features, so it runs on Linux.
Pricing information is not published on the product's website.