Most of the other frameworks sit on the network peremiter and only inspects the prompts. The biggest competition right now that I see in the same lane Cisco's Defenseclaw which focuses on breadth and has relatively loose security guardrails.

Each piece of tech of the framework is not novel, since I'm not trying to reinvent the wheel here. My focus is on the depth of security and a set of invariants that the system is built around. It's designed to be overprotective sitting on the execution path fail closed and raise only. The adaptive learning lowers that security based on your needs so eventually it can become a silent protector that doesn't constantly bother you like CC asking you for permission to do a git push.

Also the intro of the readme was written by me, the rest was meant to just be something agents ingest and use to set up Doberman hahaha, didn't think anyone would read the full thing.