jeecgboot/JeecgBoot

【低代码v2.0，一句话即可生成整个系统】企业级AI低代码平台，一键生成前后端代码甚至整个系统。 AI Skills 一句话画流程、设计表单、生成报表、大屏。内置 AI应用平台涵盖：AI聊天、知识库、流程编排、MCP插件等，兼容主流大模型。引领AI低代码「Skills 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式，解决 Java 项目 90% 重复工作，提高效率又不失灵活。

What it solves

JeecgBoot is an enterprise-grade AI low-code development platform designed to eliminate repetitive Java development work. It allows developers to generate complete business systems or modules from natural language descriptions, reducing the manual effort required for database schema creation, frontend and backend code generation, and permission configuration.

How it works

The platform implements an "AI generation $\rightarrow$ online configuration $\rightarrow$ code generation $\rightarrow$ manual merge" workflow. It integrates with large language models (LLMs) like ChatGPT, DeepSeek, and Ollama via LangChain4j to provide natural language programming capabilities. It also features a RAG-based (Retrieval-Augmented Generation) knowledge base for intelligent Q&A and a visual flow orchestration tool for building AI applications.

Who it’s for

It is primarily aimed at Java developers and enterprises building internal management systems (MIS), ERP, CRM, OA, or SaaS platforms. It also caters to business personnel who can use its zero-code mode to create business systems without writing code.

Highlights

  • Natural Language Programming: Generate full-stack CRUD systems, database tables, and menu permissions using a single sentence.
  • AI Application Platform: A full-stack environment to build, deploy, and manage AI apps with flow orchestration, MCP plugins, and RAG pipelines.
  • Comprehensive Low-Code Toolset: Includes visual designers for forms, workflows (Flowable), portals, and big-screen data visualizations.
  • Enterprise-Ready Architecture: Built on Spring Boot 4, Spring Cloud Alibaba, and Vue 3, supporting both monolithic and microservices deployments.
  • Multi-Database Support: Compatible with MySQL, PostgreSQL, Oracle, SQL Server, and various domestic Chinese databases.

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