Creator here. Quick TL;DR and some context:
FireClaw = prompt injection firewall for AI agents. Proxy architecture, not just detection. 4-stage pipeline, no bypass mode, community threat feed.
The thing that surprised us most during research: nobody is doing this. There are great pattern detectors (Rebuff, LLM Guard, etc.) but they all work post-hoc — the content has already entered the agent's context by the time you detect injection. FireClaw intercepts it before that happens.
The Pi appliance was honestly just for fun at first, but it turns out having a physical box with a screen showing "3 threats blocked today" is surprisingly reassuring. The OLED does an animated fire claw when it catches something.
Happy to answer any questions about the architecture, the canary token system, or the threat feed privacy model.
this is cool, definitely going to look into it and probably try to integrate it with my opensource project. prompt injection keeps me up at night thanks for putting in some work trying to solve it.