oinone

oinone

oinone是企业级产品化引擎,以低代码和无代码驱动的标准化研发与敏捷交付一体化的研发框架。解决研发效率与成本问题,解决产品标准化与规模化交付问题。借鉴 Odoo的工程化理念,并在无代码能力上显著增强,即面向专业研发,又能面向公民研发。[低代码、无代码一体化][面向软件公司][被集成原侧][国产化适配][信创工程]

公告

README

Oinone · AI-Powered Low-Code Framework

Speed by AI, Rigor by Oinone
100% metadata-driven framework · infrastructure for AI-native enterprise applications

GitHub stars Gitee stars License Last commit

🍀 Website · 📗 Docs · ⚡ Quickstart · Gitee (中文)

If Oinone helps you, give it a Star — it helps more developers discover AI-native low-code, and it's the biggest encouragement for the team.

⚡ Quickstart (one command, ~5 min)

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

First boot takes a few minutes — watch with docker logs -f oinone-backend.


1. Repository

Welcome to the Oinone Pamirs Repository, Oinone Pamirs is the back-end repository. Join and help us improve the AI-Powered Low-Code Framework.

Oinone is an AI-Powered Low-Code Framework positioned as infrastructure for AI-Native applications.

Oinone phonetically resonating with "All in one," symbolizing: One-stop solutions, agile responsiveness, continuous innovation.

To learn more,please visit【🍀 Website | 🍀 Gitee-中文 | 🍀AtomGit-中文 | 🍀 Github-EN】.

⚡ 后端-Gitee | ⚡ 前端-Gitee | ⚡ 后端-AtomGit | ⚡ 前端-AtomGit | ⚡ Back-end Framework-Github | ⚡ Front-end Framework-Github

2. Key Values

  • 🌟 Who it solves problems for ?
    • Targeting developers, enterprise R&D teams, and software companies, we are committed to bringing change to the industry and providing support to our partners. We have successfully served numerous top 100 enterprises, industry leaders, and over 100 software companies, including tobacco industry leader Yunnan Tobacco and RELX, well-known stationery brand enterprises Deli, Qixin, and Guangbo, global leader in garment intelligent manufacturing Jack Technology, automotive parts leader Guansheng Group, leading domestic enterprise digitalization solution provider Shudao, and renowned intelligent decision software manufacturer Shuce Intelligence. Our supported business domains span MES, APS, ERP, HIS, internal control, anti-counterfeiting traceability, investment management, OMS, F2B2b, and more.
  • 🌟 What problems it solves ?
    • Empowering enterprise R&D teams and software companies to fully embrace AI. Through an open-source, disciplined AI low-code development framework, we enable AI and developers to collaborate within the same metadata system, producing truly maintainable and evolvable enterprise-grade intelligent applications.

3. Key Features

Key Features AI

  • 🌟 AI Coding + Oinone
    • Open Source: AI-learnable design principles and development paradigms. Fully open-source framework code lets developers deeply understand every design decision, and lets AI truly 'read' your development framework.
    • Framework Discipline: 100% metadata-driven + visual no-code design + enterprise software foundation + enterprise integration + complex technology simplified, forming standardized development discipline. Not a free-form scaffold, but a principled engineering system.
    • AI Coding Ready: Combined with Oinone framework's Spec best practices to ensure stability, high quality, and maintainability. When AI Coding runs in a disciplined environment, it produces deliverable enterprise software, not demos.
  • 🌟 Applications inherently feature a "Data-Feedback Loop (DFL)" mechanism, fostering a "self-evolving" application growth model.
    • Build the full lifecycle capabilities of AI employees covering [Training → Modeling → Execution → Evaluation → Autonomous Execution].

Key Features

4. Architecture

Every application built on Oinone has AI capabilities without additional integration. Aino natively understands your business semantics through the metadata foundation, enabling truly intelligent applications rather than simple AI wrappers. Arch

5、Aino

5.1 What is Oinone Aino

Aino, which stands for AI Innovation and is a near-homophone of I Know, An ontology-based enterprise AI agent full-lifecycle platform. Beyond chatbots — an agent that truly understands your business, knows your systems, and delivers results. Integrating model access, fine-tuning, tool/skill libraries, knowledge bases, unrestricted agent orchestration, and next-gen enterprise interactions.

5.2 Aino UX

Aino

6. Demo

Demo Related Videos
⭐ The 7.x demo will be released soon. Stay tuned. ⭐

7. Quickstart & Documentation

Quickstart Documentation Package Package Content
Installation or Upgrade 📗 User Manual 📦 pamirs-k2 🌟 Metadata Core
Development Environments 📗 DEV Manual 📦 pamirs-framework 🌟 Framework-Core Package
Enterprise Edition 📗 R&D Paradigm 📦 pamirs-framework-commons 🌟 Framework-Commons Package
Tutorials 📗 Common Solutions 📦 pamirs-framework-adaptor 🌟 Framework-Extension Package
Debug Tools 📗 FAQ 📦 pamirs-spi 🌟 SPI Package
📦 pamirs-boot 🌟 Startup Package
📦 pamirs-core 🌟 Common Features Package
📦 pamirs-middleware 🌟 Middleware-Core Package
📦 pamirs-ux 🌟 User Experience Package

8. License

9. Community Participation

10. Contact Us

⭐ Star History

Star History Chart

Found Oinone useful? A Star ⭐ helps more developers discover AI-native low-code. Thank you!

热门项目
31

Oinone 是企业级产品化引擎,以低代码和无代码驱动的标准化研发与敏捷交付一体化的研发框架。解决研发效率与成本问题,解决产品标准化与规模化交付问题。借鉴Odoo的工程化理念,并在无代码能力上显著增强,即面向专业研发,又能面向公民研发。 [低代码、无代码一体化] [面向软件公司] [被集成原则] [国产化适配][信创工程]

12

Oinone是企业级产品化引擎,以低代码和无代码驱动的标准化研发与敏捷交付一体化的研发框架。解决研发效率与成本问题,解决产品标准化与规模化交付问题。借鉴 Odoo的工程化理念,并在无代码能力上显著增强,即面向专业研发,又能面向公民研发。[低代码、无代码一体化][面向软件公司][被集成原则][国产化适配][信创工程]

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    Java
    0
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    AGPL-3.0
    更新于 1 小时前
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  • Oinone 是企业级产品化引擎,以低代码和无代码驱动的标准化研发与敏捷交付一体化的研发框架。解决研发效率与成本问题,解决产品标准化与规模化交付问题。借鉴Odoo的工程化理念,并在无代码能力上显著增强,即面向专业研发,又能面向公民研发。 [低代码、无代码一体化] [面向软件公司] [被集成原则] [国产化适配][信创工程]
    Java
    31
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    AGPL-3.0
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  • 暂无简介
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    0
    0
    AGPL-3.0
    更新于 23 小时前
    Star
  • Oinone是企业级产品化引擎,以低代码和无代码驱动的标准化研发与敏捷交付一体化的研发框架。解决研发效率与成本问题,解决产品标准化与规模化交付问题。借鉴 Odoo的工程化理念,并在无代码能力上显著增强,即面向专业研发,又能面向公民研发。[低代码、无代码一体化][面向软件公司][被集成原则][国产化适配][信创工程]
    TypeScript
    12
    7
    AGPL-3.0
    更新于 2025年8月11日
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