JeecgBoot and jeecg-ai

These are ecosystem siblings where JeecgBoot is the comprehensive enterprise low-code platform that JeecgAI extends with specialized AI and no-code capabilities as a focused module or companion application.

JeecgBoot
74
Verified
jeecg-ai
51
Established
Maintenance 23/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 8/25
Maturity 13/25
Community 20/25
Stars: 45,394
Forks: 15,839
Downloads:
Commits (30d): 24
Language: Java
License: Apache-2.0
Stars: 61
Forks: 26
Downloads:
Commits (30d): 0
Language: Java
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About JeecgBoot

jeecgboot/JeecgBoot

【AI低代码平台】“低代码+零代码”双模驱动AI智能平台 AI low-code platform empowers enterprises to quickly develop low-code solutions and build AI applications. 助力企业快速实现低代码开发和构建AI应用! AI应用平台涵盖:AI应用、AI模型、AI聊天助手、知识库、AI流程编排、MCP和插件,聊天式业务操作等。 强大代码生成器:实现前后端一键生成,无需手写代码! 显著提升效率节省成本,又不失灵活~

Built on Spring Boot 3 with Vue 3 frontend, the platform integrates Claude Code AI Skills for natural language-driven development—converting text prompts into complete CRUD code, database schemas, and menu permissions without manual coding. It bundles enterprise features including JimuReport (drag-and-drop reporting), JimuBI (visual dashboards), BPM workflow engines, and a Dify-like RAG knowledge base system supporting ChatGPT, DeepSeek, and Ollama models. The architecture follows an "AI generation → online configuration → code generation → manual merge" workflow, targeting Java monolithic and microservice deployments with support for domestic Chinese tech stacks (Kingsoft, Guoshu databases, TongWeb middleware).

About jeecg-ai

jeecgboot/jeecg-ai

【AI 零代码应用平台】An AI application platform combined with a no-code product, designed to help developers quickly build and deploy AI applications and no-code solutions. 一个AI应用平台与零代码产品结合体,旨在帮助开发者快速构建和部署AI 应用和零代码应用搭建!功能涵盖:AI应用平台、AI零代码应用搭建、AI报表、AI大屏、AI仪表盘、Chat2BI报表

# Technical Summary Built on LangChain4j and Spring Boot 3.5.5, this platform combines RAG-powered AI workflows with a visual flow editor supporting multi-model backends (OpenAI, DeepSeek, Qwen, Claude, local Ollama) and vector database integration via pgvector. The backend uses Java/MyBatisPlus while the frontend leverages Vue3+TypeScript+Vite, enabling developers to compose reusable AI service APIs through canvas-based workflow orchestration with specialized nodes (AI inference, knowledge retrieval, branching logic, HTTP requests, custom Java/Python scripts). Native support for markdown document import with image preservation, PDF/PPT text extraction, and iframe-based chat embedding differentiates it from similar platforms, while integrated zero-code form builders and JimuReport analytics enable rapid business application assembly beyond pure AI interactions.

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