jeecgboot/JeecgBoot
JeecgBoot
AI 低代码平台「低代码 + 零代码」双驱动！低代码可一键生成前后端代码;零代码可 5 分钟搭建系统;AI Skills 一句话画流程、设计表单、生成整套系统。内置 AI聊天、知识库、流程编排、MCP插件等，兼容主流大模型。引领「AI 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式，消除 Java 项目 80% 的重复工作，提效而不失灵活。
Usage guide
JeecgBoot is an open-source project around activiti, agent, antd with 46,905 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- AI 低代码平台「低代码 + 零代码」双驱动！低代码可一键生成前后端代码;零代码可 5 分钟搭建系统;AI Skills 一句话画流程、设计表单、生成整套系统。内置 AI聊天、知识库、流程编排、MCP插件等，兼容主流大模型。引领「AI 生成 → 在线配置 → 代码生成 → 手工合并-AI修改」开发模式，消除 Java 项目 80% 的重复工作，提效而不失灵活。
- Implemented mainly in Java, useful for judging integration effort in a similar stack.
- GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating JeecgBoot for Java AI workflows.
- Comparing a GitHub project with 46,905 stars and current repository activity.
Pros
- JeecgBoot has visible GitHub traction with 46,905 stars. Topics: activiti, agent, ai.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
JeecgBoot should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
JeecgBoot architecture preview
JeecgBoot's main path starts at the entry surface, runs through Coding agent runtime, combines OpenAI / Claude, Repository context, GitHub / MCP tools, and returns Code changes / developer feedback.
Entry
CLI / terminal entry
JeecgBoot is primarily entered through a developer command or terminal workflow.
git clone https://github.com/jeecgboot/JeecgBoot.git
Runtime
Coding agent runtime
The runtime reads developer intent, inspects repository context, plans edits, and returns code-oriented actions.
coding workflow
Model
OpenAI / Claude
Model calls are likely routed through OpenAI, Claude based on README and topic signals.
OpenAI, Claude
Context
Repository context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
GitHub / MCP tools
Tool adapters let the runtime act outside the model through GitHub / MCP tools.
GitHub, MCP tools
Output
Code changes / developer feedback
The final result is code edits, explanations, repository actions, or developer-facing feedback.
coding output
Featured video
GitHub Daily Trend AI Podcast
GitHub - jeecgboot/JeecgBoot: 🔥「企业级低代码平台」前后端分离架构SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，M...
190 views · 2024-08-13
Install tutorial
Before you install
- A clean working directory for the first test run
Check the runtime environment
Confirm your system can run a Java project before starting the installation steps.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/jeecgboot/JeecgBoot.gitInstall or build dependencies
No extra setup command was detected. Check the README before adding custom configuration.
Adoption guidance and sources
Practical use cases
Knowledge-base assistant
Use it for document-grounded AI workflows where retrieval quality matters.
AI 低代码平台「低代码 + 零代码」双驱动！低代码可一键生成前后端代码;零代码可 5 分钟搭建系统;AI Skills 一句话画流程、设计
This is one of the documented reasons to evaluate JeecgBoot before choosing a stack.
Focus area: activiti
This is one of the documented reasons to evaluate JeecgBoot before choosing a stack.
SKILL project comparison
Compare JeecgBoot with similar projects before committing to a stack.
Before adopting
- Complete one clean-environment verification using the official JeecgBoot setup path.
- Review repository license, model weights, external services, and dependency terms for your use case.
- Check recent commits, release cadence, issue response, and documentation depth.
- Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.
Configuration notes
- Review README configuration notes before using production data.
Sources checked
These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.
Troubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented JeecgBoot example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is JeecgBoot?
JeecgBoot is an open-source skill project. AI 低代码平台「低代码 + 零代码」双驱动！低代码可一键生成前后端代码;零代码可 5 分钟搭建系统;AI Skills 一句话画流程、设计表单、生成整套系统。内置 AI聊天、知识库、流程编排、MCP插件等，兼容主流大模型。引领「AI 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式，消除 Java 项目 80% 的重复工作，提效而不失灵活。
How do I install JeecgBoot?
Start with the official README. The first detected setup step is: git clone https://github.com/jeecgboot/JeecgBoot.git.
Is JeecgBoot beginner-friendly?
If you already know the Java ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can JeecgBoot be used commercially?
GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does JeecgBoot need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt JeecgBoot?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.