
Why use Opperator
Building AI agents today requires solving problems that have nothing to do with your actual workflow:- Where do agents live? How do you manage their runtime?
- How do you handle boilerplate and scaffolding?
- Where do you store API keys and secrets?
- How do you debug agents when something breaks?
- How do you test changes without constant restarts?