[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-73074":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":15,"stars7d":15,"stars30d":15,"stars90d":15,"forks30d":15,"starsTrendScore":15,"compositeScore":16,"rankGlobal":10,"rankLanguage":10,"license":17,"archived":18,"fork":18,"defaultBranch":19,"hasWiki":18,"hasPages":18,"topics":20,"createdAt":10,"pushedAt":10,"updatedAt":26,"readmeContent":27,"aiSummary":28,"trendingCount":15,"starSnapshotCount":15,"syncStatus":29,"lastSyncTime":30,"discoverSource":31},73074,"oinone-pamirs","oinone\u002Foinone-pamirs","oinone","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]","https:\u002F\u002Foinone.ai",null,"Java",2526,304,195,0,59.45,"GNU Affero General Public License v3.0",false,"feature\u002F7.2.0",[21,22,23,24,25,7],"ai-lowcode","framework","low-code","low-code-framework","lowcode","2026-06-12 04:01:07","### 1. Repository\n\nWelcome to the Oinone Pamirs Repository, Oinone Pamirs is the back-end repository. Join and help us improve the AI-Powered Low-Code Framework.\n\nOinone is an AI-Powered Low-Code Framework positioned as infrastructure for AI-Native applications.\n\nOinone phonetically resonating with \"All in one,\" symbolizing: One-stop solutions, agile responsiveness, continuous innovation.\n\nTo learn more，please visit【[🍀 Website](https:\u002F\u002Fwww.oinone.ai) | [🍀 Gitee-中文](https:\u002F\u002Fgitee.com\u002Foinone) | [🍀AtomGit-中文](https:\u002F\u002Fgitcode.com\u002Foinone) | [🍀 Github-EN](https:\u002F\u002Fgithub.com\u002FOinone)】.\n\n【[⚡ 后端-Gitee](https:\u002F\u002Fgitee.com\u002Foinone\u002Foinone-pamirs) | [⚡ 前端-Gitee](https:\u002F\u002Fgitee.com\u002Foinone\u002Foinone-kunlun) | [⚡ 后端-AtomGit](https:\u002F\u002Fgitcode.com\u002Foinone\u002Foinone-pamirs) | [⚡ 前端-AtomGit](https:\u002F\u002Fgitcode.com\u002Foinone\u002Foinone-kunlun) | [⚡ Back-end Framework-Github](https:\u002F\u002Fgithub.com\u002Foinone\u002Foinone-pamirs) | [⚡ Front-end Framework-Github](https:\u002F\u002Fgithub.com\u002Foinone\u002Foinone-kunlun)】\n\n### 2. Key Values\n- 🌟 Who it solves problems for ?\n  - 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.\n- 🌟 What problems it solves ?\n  - 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.\n\n### 3. Key Features\n![Key Features AI](http:\u002F\u002Foinone-jar.oss-cn-zhangjiakou.aliyuncs.com\u002Fwelcome-document\u002FOpen%20Source\u002Fen\u002FKey-Feature-I-New.png)\n- 🌟 AI Coding + Oinone\n  - **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.\n  - **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.\n  - **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.\n- 🌟 Applications inherently feature a \"Data-Feedback Loop (DFL)\" mechanism, fostering a \"self-evolving\" application growth model.\n  - Build the full lifecycle capabilities of AI employees covering [Training → Modeling → Execution → Evaluation → Autonomous Execution].\n\n![Key Features](http:\u002F\u002Foinone-jar.oss-cn-zhangjiakou.aliyuncs.com\u002Fwelcome-document\u002FOpen%20Source\u002Fen\u002FKey-Feature-II-New.png)\n\n### 4. Architecture\nEvery 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.\n![Arch](http:\u002F\u002Foinone-jar.oss-cn-zhangjiakou.aliyuncs.com\u002Fwelcome-document\u002FOpen%20Source\u002Fen\u002FNatively-Intelligent-en-source.webp)\n\n### 5、Aino\n#### 5.1 What is Oinone Aino\nAino, 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\u002Fskill libraries, knowledge bases, unrestricted agent orchestration, and next-gen enterprise interactions.\n\n#### 5.2 Aino UX\n![Aino](http:\u002F\u002Foinone-jar.oss-cn-zhangjiakou.aliyuncs.com\u002Fwelcome-document\u002FOpen%20Source\u002Fen\u002FAino.png)\n\n### 6. Demo\n| Demo                                                                                                                                                     | Related Videos                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |\n|----------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ⭐ The 7.x demo will be released soon. Stay tuned. ⭐ | |\n\n### 7. Quickstart & Documentation\n| Quickstart                                                                                        | Documentation                                                                                      | Package                     | Package Content |\n|---------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------|-----------------------------|----------|\n| ⚡ [Installation or Upgrade](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FInstallOrUpgrade\u002FCommunityEdition.html)   | [📗 User Manual](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FUserManual\u002FREADME.html)                               | 📦 pamirs-k2                | 🌟 Metadata Core |\n| ⚡ [Development Environments](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FDevManual\u002FTutorials\u002FDev-ENV\u002FREADME.html) | [📗 DEV Manual](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FDevManual\u002FREADME.html)                                 | 📦 pamirs-framework         | 🌟 Framework-Core Package |\n| ⚡ [Enterprise Edition](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FInstallOrUpgrade\u002FEnterpriseEdition.html)       | [📗 R&D Paradigm](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FDevManual\u002FR&DParadigm\u002FR&D-paradigm-R&D-process.html) |📦 pamirs-framework-commons | 🌟 Framework-Commons Package |\n| ⚡ [Tutorials](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FDevManual\u002FTutorials\u002FREADME.html)                        | [📗 Common Solutions](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FDevManual\u002FCommonSolutions\u002FREADME.html)           | 📦 pamirs-framework-adaptor | 🌟 Framework-Extension Package |\n| ⚡ [Debug Tools](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FDevManual\u002FTutorials\u002Fdebug-tools.html)                 | [📗 FAQ](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FDevManual\u002FFAQ\u002FREADME.html)                                    |📦 pamirs-spi               | 🌟 SPI Package  |\n|                                                                                                   |                                                                                                    | 📦 pamirs-boot              | 🌟 Startup Package |\n|                                                                                                   |                                                                                                    |📦 pamirs-core              | 🌟 Common Features Package |\n|                                                                                                   |                                                                                                    |📦 pamirs-middleware        | 🌟 Middleware-Core Package |\n|                                                                                                   |                                                                                                    |📦 pamirs-ux                | 🌟 User Experience Package  |\n\n### 8. License\n- Oinone Pamirs repository is licensed under AGPL-3.0.\n- [Third Party Open Source Software and License Notice](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FThird-Party-Open-Source-Software-And-License-Notice.html).\n\n### 9. Community Participation\n- [How to contribute](https:\u002F\u002Fguide.oinone.ai\u002Fen\u002FContribute\u002Fcla.html)\n\n### 10. Contact Us\n- Website：https:\u002F\u002Fwww.oinone.ai\n- Email：oinone@shushi.pro\n","Oinone Pamirs 是一个基于AI的低代码框架，旨在通过统一的元数据模型将AI与开发者结合起来，构建可维护、可演进、高质量的企业级智能应用。该项目的核心功能包括AI编码支持、100%元数据驱动以及可视化无代码设计，这些特性使得软件开发过程更加标准化和高效。特别适合于需要快速响应市场变化、追求持续创新的企业研发团队及软件公司使用，在MES、APS、ERP等多个业务领域都有广泛应用案例。项目采用Java语言编写，并遵循GNU Affero General Public License v3.0开源许可协议。",2,"2026-06-11 03:44:20","high_star"]