oinone/oinone-pamirs

Oinone is an AI‑Powered low‑code framework that unifies AI and developers around a shared metadata model to build maintainable, evolvable, high‑quality enterprise intelligent applications.[AI Coding][Vibe Coding][Framework][Low Code]

What it solves

Oinone is designed to help enterprise R&D teams and software companies build maintainable, enterprise-grade intelligent applications. It solves the problem of AI-generated code being unstable or merely "demos" by providing a disciplined, metadata-driven framework that ensures AI and developers collaborate within a standardized engineering system.

How it works

The framework is 100% metadata-driven, combining visual no-code design with a principled engineering system. It includes a backend repository (Pamirs) and a frontend framework (Kunlun). A key component is Aino, an ontology-based enterprise AI agent platform that integrates model access, fine-tuning, knowledge bases, and agent orchestration. Because the framework is metadata-driven, AI agents can natively understand the business semantics of the application without needing separate integration wrappers.

Who it’s for

It is intended for developers, enterprise R&D teams, and software companies building complex business systems such as MES, APS, ERP, HIS, and investment management systems.

Highlights

  • Metadata-Driven Architecture: Ensures that AI-generated output is deliverable software rather than prototypes.
  • Aino AI Agent Platform: A full-lifecycle platform for creating agents that understand business systems and deliver results.
  • Data-Feedback Loop (DFL): Enables applications to evolve through a cycle of training, modeling, execution, evaluation, and autonomous execution.
  • Enterprise-Ready: Built for high-stability requirements in domains like intelligent manufacturing and automotive parts.

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