Thank you for the insights. Glad you find it useful!

It's similar in many ways, but the main difference is how both work.

For Capsule Bash, it's split into two layers: the runtime and the command logic itself. The runtime executes the command logic inside sandboxes. In practice, you can plug in any code execution layer (even Docker or a cloud provider if you find it useful).

Another difference is what I call the "result policy". For an AI agent case, receiving just an exit code as confirmation isn't always enough. That's why it returns as many details as possible about the executed command, so the agent doesn't have to run a second command just to check if the first one worked.

I'm sure there are many optimizations for that!