Your website is being quietly strip-mined by AI crawlers, and traditional bot detection isn’t cutting it anymore. While you’re focused on building great content, sophisticated scrapers are harvesting it to train models without permission or compensation. Anubis steps in as your digital gatekeeper, using behavioral analysis to distinguish between legitimate users and AI crawlers that are getting better at mimicking human traffic.
Built in Go for performance, Anubis doesn’t rely on simple user-agent blocking that crawlers easily bypass. Instead, it analyzes request patterns, timing, and behavioral signatures to make intelligent decisions about incoming traffic. The project has serious backing with diamond-tier sponsors like Databento and Raptor Computing, plus 17K+ stars from developers who’ve dealt with this exact problem. The Egyptian mythology theming isn’t just cute – Anubis literally weighed souls in the afterlife, and this tool weighs the ‘soul’ of every HTTP request.
Perfect for content creators, API providers, and anyone tired of seeing their bandwidth consumed by uninvited AI training runs. The setup appears straightforward for a Go project, and with active sponsorship, you’re looking at maintained, production-ready protection rather than another abandoned security experiment.
⭐ Stars: 17114
💻 Language: Go
🔗 Repository: TecharoHQ/anubis