Great project. There's been multiple approaches/tools in the space(top of my head I can think of e2b, arrakis, claude's new tool). how is this different?
Great project. There's been multiple approaches/tools in the space(top of my head I can think of e2b, arrakis, claude's new tool). how is this different?
Thanks! I'll review Arrakis and come back. E2B is often considered harder to setup and less AI engineers friendly for direct stack contributions, as Katakate is the only alternative fully implemented in Python (core modules, Typer CLI, FastAPI, Python SDK).
Our native K8s support and exposition of K8s API also makes it friendly to devops.
Finally, our deploy/infra stack is lean and tightly fits in a single Ansible playbook, which makes it easy to understand and contribute to, letting you rapidly gain full understanding and ownership of the stack.