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That's because sandboxing is quite hard. I use `cco`, but even then, the home folder is exposed. You are one prompt away from the agent sending the browser passwords with curl. To prevent this, you need a fake home and a networking whitelist for the agent to access the provider (llama cpp, OpenAI, etc.) There is no cross-platform solution that is easy to use for this. And no, a Linux box with Docker won't do. I develop a cross-platform native app and want the agent to compile and fix the platform-specific errors. |
- Sandbox on Linux using Docker, Podman, containerd, gVisor, Kata, Firecracker
- Sandbox on Mac using Docker (Docker Desktop or Orbstack), Podman, Apple containers, Seatbelt, Tart (Tart lets you run simulators).
- Network control
- Secrets control (file mounts or credentials broker)
- NO ambient data (ENV is replaced with a minimal and local-to-sandbox one)
- NO access to your homedir. You have to explicitly mount things you want.
- NO direct access to your workdir: Your work dir is never modified until you apply the changes, either standalone or as a git commit. You can also diff before applying. Git runs sandbox side in case the repo has filters.
- gitignored files never get copied in. The agent never sees them.
- Has built-in support for claude, codex, gemini, aider, and opencode, but you can also launch it in "shell" mode and run whatever you want.
- Supports VS code tunnels, so you can remotely access in VS code if you don't want to use the terminal.
- Full lifecycle support: Launch, attach, stop, restart, wait, one-shot, clone, destroy
- MCP passthrough
- Layered API (golang) if you want to sandbox other things
- Self-contained binary. No external requirements other than the backends you want to use. Defaults to a ~/.yoloai dir for config/data, but you can point it anywhere.
- FOSS
https://github.com/kstenerud/yoloai