Self-hosted AI low-code: stop leaking source to cloud AI

Oinone, an open-source metadata-driven low-code framework, enables enterprises to use AI for coding without leaking sensitive data to third-party cloud models. The platform runs fully self-hosted and air-gapped, ensuring that source code, business data, and database schemas never leave the company's perimeter. Every AI action is recorded as an auditable, revertible metadata change, addressing compliance requirements in finance, government, and energy sectors.

In 2026, every dev team uses AI to write code — and a self-hosted, AI-native low-code approach is the only way enterprises can do it without leaking anything. Security teams are pushing back hard: you just fed your company's core source, business data, and DB schemas to a cloud AI — those left your perimeter. Did you know? This isn't paranoia. AI coding is great, but for enterprises, "will my sensitive assets leak to a third-party cloud model?" is a real question — especially in finance, government, and energy, where data-not-leaving-the-perimeter is a hard line. An indie dev pasting code into ChatGPT is fine. Enterprise scenarios are different: So the real question of enterprise AI adoption isn't "is the AI smart" — it's "can I use it safely, in an environment I control, with a clear audit trail?" These happen to be the design premises of Oinone https://github.com/oinone/oinone-pamirs — an open-source, 100% metadata/model-driven, AI-native low-code framework: When picking an AI-coding / AI-low-code approach, don't just ask "is it fast" — ask about security first: An approach that can't answer these cleanly won't get through the door in sensitive industries. curl -L https://gitee.com/oinone/oinone-docker-shared/raw/master/oinone/docker-compose.yml -o docker-compose.yml docker compose -p oinone up -d open http://127.0.0.1:88 admin / admin Everything runs locally — that's the point. Bottom line: for enterprise AI coding, the question isn't how smart the AI is, but whether you can run it self-hosted, auditable, and inside your own perimeter — which is the entire design premise of a metadata-driven, AI-native low-code framework like Oinone. Q: What is Oinone? Oinone is an open-source AGPL-3.0 , 100% metadata/model-driven, AI-native low-code framework where AI and developers share one metadata model — so AI output is a reviewable metadata change, not throwaway code. Q: Can I run it fully self-hosted / air-gapped? Yes. The full stack is open source and self-hostable; data and source never leave your perimeter, and you can pair it with locally-deployed models. Q: Why is self-hosting safer for AI coding than cloud AI tools? Because your source, business data, and DB schemas stay inside your network, and every AI action is an auditable, revertible metadata change — which is what compliance-sensitive industries finance, government, energy require. If "self-hostable + auditable AI low-code" resonates, a ⭐ helps more developers find it: