Personalai
What is Personalai
PersonalAI is a comprehensive guideline for product R&D teams to leverage generative AI technologies, focusing on the principle of ‘Using AI to Advance’. It integrates cutting-edge AI technologies such as large language models (LLM), agents, and Model Context Protocol (MCP) to enhance R&D efficiency and innovation.
Use cases
Use cases include rapid prototyping of systems, efficient design and implementation of development tasks, and generating intellectual property drafts to accelerate innovation protection and accumulation.
How to use
To use PersonalAI, start with the Quick Start Guide to understand the overall content. Choose the appropriate modules based on your needs, and apply the relevant methods and tools in your actual work.
Key features
Key features include a comprehensive methodology system, a rich library of high-quality prompt templates, standardized workflows for AI-assisted R&D, practical case studies, and a collection of useful tool scripts to improve work efficiency.
Where to use
PersonalAI can be used in various fields such as cloud-native development, platformization, and middle-platform applications, making it suitable for technical teams, product managers, architects, and DevOps engineers.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Personalai
PersonalAI is a comprehensive guideline for product R&D teams to leverage generative AI technologies, focusing on the principle of ‘Using AI to Advance’. It integrates cutting-edge AI technologies such as large language models (LLM), agents, and Model Context Protocol (MCP) to enhance R&D efficiency and innovation.
Use cases
Use cases include rapid prototyping of systems, efficient design and implementation of development tasks, and generating intellectual property drafts to accelerate innovation protection and accumulation.
How to use
To use PersonalAI, start with the Quick Start Guide to understand the overall content. Choose the appropriate modules based on your needs, and apply the relevant methods and tools in your actual work.
Key features
Key features include a comprehensive methodology system, a rich library of high-quality prompt templates, standardized workflows for AI-assisted R&D, practical case studies, and a collection of useful tool scripts to improve work efficiency.
Where to use
PersonalAI can be used in various fields such as cloud-native development, platformization, and middle-platform applications, making it suitable for technical teams, product managers, architects, and DevOps engineers.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
PersonalAI - 先用AI，先进起来
人工智能赋能研发全过程的实践指南
让顶尖AI模型为研发团队打工
📖 项目简介
PersonalAI 项目致力于构建一个全面的文档资源库，聚焦于"先用AI，先进起来"的理念，为研发团队提供在云原生、中台、平台化等领域充分利用人工智能技术的实践指南。该项目整合了大型语言模型(LLM)、智能体(Agent)和模型上下文协议(MCP)等前沿AI技术，旨在全方位提升研发效率和创新能力。
🚀 “产品研发GPT三级火箭”
本项目核心提出并实践"产品研发GPT三级火箭"理念，通过三个阶段系统性提升研发全流程效能：
- PrototypeGPT - 快速系统原型化，从需求到可演示Demo的敏捷过程
- DevelopGPT - 快速系统设计与实现，高效完成60%+开发工作
- IPRGPT - 知识产权草案生成，加速创新成果保护与积累
参考设计&实现，如下：
- ProtoForge - An open-source ai-agent and agentic ai framework for autonomous code generation, product prototyping, iterative development, and IP protection — powered by composable LLM agents and designed for private, full-stack R&D workflow.
同时配合系统智能诊断能力，例如:
- SREagent - An open source GPT enhanced automatic SRE agent for applications & platform
实现研发全链路的AI赋能。
特别关注非功能性需求场景，运用DFX方法，实现现代软件的质量综合治理，例如：
- NFR-DFX-Quality-Toolkit - An open-source toolkit that applies DFX (Design for eXcellence) methods on non-functional requirements to modern software quality.
实现质量设计的逻辑。
所有业务与技术分析来源于，对"企业"这种商业体的全面业务与技术分析，例如
🌟 核心特性
- 全面的方法论体系：提供从需求分析到知识产权保护的完整AI应用方法论
- 丰富的提示词模板：涵盖研发各阶段的高质量提示词模板库
- 标准化工作流程：预设多种AI辅助研发工作流，便于团队快速落地
- 实践案例分享：真实项目实践经验与案例详解
- 工具脚本集合：配套实用工具脚本，提升工作效率
🔍 项目目标受众
- 技术团队负责人
- 研发工程师
- 产品经理
- 架构师
- 技术创新专家
- DevOps工程师
🚦 快速开始
前置条件
- 基本了解AI与大型语言模型
- 对研发流程有基本认知
浏览指南
- 从 快速入门指南 开始了解项目整体内容
- 根据需求选择合适的模块深入学习
- 尝试在实际工作中应用相关方法与工具
🚀 赋能项目总览（W.I.P） | Project Overview
| 项目名称 | 项目链接 | 项目简介（中英） |
|---|---|---|
| IOShelfer | https://github.com/turtacn/ioshelfer | **中文:**IOShelfer 是一个先进的轻量级 I/O 系统亚健康检测框架，专为企业级基础设施监控而设计。它通过实时检测、智能预测和自动化修复功能，在关键故障发生前识别问题，保护 RAID 控制器、存储设备和网络 I/O 子系统的稳定运行。 EN: IOShelfer is a lightweight, advanced I/O subhealth monitoring framework for enterprise infrastructure. It enables real-time diagnosis, smart prediction, and auto-repair for RAID, storage, and network I/O subsystems—proactively preventing critical failures. |
| Yshield（御知） | https://github.com/turtacn/yshield | **中文:**Yshield 是一款 AI 驱动的自主安全防御系统，采用自治学习、决策与响应机制，结合机器学习与大数据分析，打造下一代闭环式安全运营体系，实现“先知先觉、永不疲倦”的网络威胁防御能力。 EN: Yshield is an AI-driven autonomous cybersecurity system providing next-gen, closed-loop protection through self-learning, decision-making, and response to proactively and tirelessly defend against cyber threats. |
| Huizhu.AI（慧助AI） | https://github.com/turtacn/huizhu.ai | **中文:**集成生成式 AI、智能运维（AIOps）和 AI 安全的企业服务平台，通过对话式交互提升业务自动化、决策支持与运营效率。 EN: Huizhu.AI is an integrated enterprise platform combining Generative AI, AIOps, and AI Security in a conversational interface, enhancing automation, efficiency, and business decision-making. |
| Secureflow（数安智联） | https://github.com/turtacn/secureflow | **中文:**一个基于联邦学习、MPC、机密计算和区块链的隐私保护协作平台，支持跨组织数据分析而无需暴露原始数据。 EN: Secureflow is a privacy-preserving collaboration platform using FL, MPC, confidential computing, and blockchain to enable secure, cross-org data analytics without revealing raw data. |
| xAI-Workbench（灵犀） | https://github.com/turtacn/xai-workbench | **中文:**一个少代码、可定制的企业 AI 平台，提供预设场景模板和本地模型部署能力，帮助企业普及生成式 AI 应用。 EN: xAI-Workbench is a low-code enterprise GenAI platform with preset templates and customizable model deployment, democratizing AI for non-experts. |
| AnheGuard（安合盾） | https://github.com/turtacn/anheguard | **中文:**为中小企业设计的云原生安全与合规平台，提供订阅式持续合规监控、安全咨询与事件响应服务。 EN: AnheGuard is a cloud-native, subscription-based security and compliance platform tailored for SMEs—offering continuous monitoring, consultation, and incident response. |
| MHA4RDB | https://github.com/turtacn/mha4rdb | **中文:**面向 Vastbase、MySQL、PostgreSQL 等关系型数据库的高可用主节点架构，提高系统稳定性和容灾能力。 EN: A high-availability master architecture designed for relational databases like Vastbase, MySQL, and PostgreSQL. |
| GuoceDB | https://github.com/turtacn/guocedb | **中文:**基于 Go 构建的模块化 SQL 数据库，采用 BadgerDB 存储引擎，具备高可扩展性和良好的架构分层。 EN: A modular SQL database written in Go with BadgerDB, designed for extensibility and layered architecture. |
| DSACP | https://github.com/turtacn/dsacp | **中文:**基于 Apache Ranger，为大数据系统（如 Kafka、Hive、ClickHouse 等）提供统一的敏感数据访问控制和动态脱敏能力。 EN: A unified data access control framework based on Apache Ranger, extending fine-grained permissions and masking to diverse big data systems. |
| OpenCDI | https://github.com/turtacn/opencdi | **中文:**基于 Kubernetes 和容器技术的现代化桌面交付平台，支持国产操作系统与硬件，提升信息安全。 EN: OpenCDI is a modern, container-based desktop delivery platform leveraging Kubernetes, optimized for domestic OS and hardware for enhanced security. |
| DataSeap | https://github.com/turtacn/dataseap | **中文:**统一、高效、可扩展的数据底座平台，集成监控、告警、日志、升级等功能，简化大数据基础设施运维。 EN: DataSeap is a scalable data infrastructure platform with integrated monitoring, alerts, and lifecycle management, simplifying big data operations. |
| Chasi-Bod | https://github.com/turtacn/chasi-bod | **中文:**融合 sealer 与 vCluster 思路的简化多系统集成平台，支持业务系统在 Kubernetes 上共享基础设施并保持隔离。 EN: Inspired by vcluster and sealer, Chasi-Bod enables isolated, unified deployment of multiple business systems on a shared Kubernetes cluster. |
📚 核心文档
| 名称 | 描述 |
|---|---|
| 快速入门指南 | 项目概览与开始使用的指导 |
| AI研发方法论 | AI辅助研发的核心方法论 |
| PrototypeGPT详解 | 快速系统原型化详细指南 |
| DevelopGPT详解 | 系统设计与实现加速方法 |
| IPRGPT详解 | 知识产权生成指南 |
🛠️ 示例与模板
项目提供多种开箱即用的模板与工作流：
- 提示词模板：针对不同场景优化的提示词
- 工作流模板：标准化的AI应用流程步骤
- 实践案例：基于真实项目的应用示例
🔄 如何贡献
我们非常欢迎社区成员参与项目贡献，包括但不限于：
- 提交Bug报告或功能建议
- 贡献新的提示词模板或工作流
- 分享实践案例与经验
- 改进文档内容与结构
详细信息请参阅 贡献指南。
📊 项目路线图
📄 许可证
本项目采用 Apache 2.0 许可证。
👏 致谢
感谢以下开源项目为PersonalAI提供的灵感与参考：
📢 联系我们
如有任何问题或建议，请通过以下方式联系我们：
- GitHub Issues: https://github.com/turtacn/PersonalAI/issues
让AI助力你的团队，今天就开始行动！
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
