head to head · open source

Agent-Reach vs JeecgBoot

Agent-Reach has 108,502 GitHub stars, 9,679 forks, 137 open issues and last shipped 4 days ago. JeecgBoot has 48,367 stars, 16,223 forks, 44 open issues and last shipped yesterday. Agent-Reach leads on adoption by 124% (108,502 vs 48,367 stars). Agent-Reach is written in Python under MIT; JeecgBoot is written in Java under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, JeecgBoot 34%. JeecgBoot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (claude-code, cli), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Agent-Reach ★ 109K JeecgBoot ★ 48K category AI & Machine Learning

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Side by side

Agent-Reach JeecgBoot
GitHub stars ★ 109K ★ 48K
License MIT Apache-2.0
Written in Python Java
Last push 2026-11-01 2026-11-04
Forks ⑂ 9.7K ⑂ 16K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agent-Reach if

  • You weight community size — 109K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Agent-Reach profile →

pick JeecgBoot if

  • You want the JeecgBoot feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and JeecgBoot fits your workflow better

full JeecgBoot profile →

About Agent-Reach

👁️ Agent Reach 给你的 AI Agent 一键装上互联网能力 当下最稳的接入方式,替你选好、装好、体检好——接入方式会换代,你不用操心 快速开始 · English · 日本語 · 한국어 · 支持平台 · 设计理念 ❤️赞助商 想出现在这里? 点击折叠 BrowserAct 支持从 Amazon、LinkedIn、X、Google Maps 等复杂网站提取你需要的任意数据。你只需用自然语言描述抓取需求,Agent 就会基于真实浏览器自动探索并测试页面流程,生成可靠、可复用的数据采集 Bot,并返回结构化结果。无需手动构建爬虫,无需编写代码。BrowserAct 内置隐身浏览、验证码处理和高质量住宅代理,帮助你更稳定地完成复杂网页数据采集。新用户注册即送 1000 积分, 立即免费试用 。 在腾讯云 Lighthouse 秒级部署 OpenClaw 全能助手,可通过对话丝滑接入 Agent Reach,给你的 OpenClaw 一键装上互联网能力。 CoreClaw 网页抓取平台与现成数据采集工具,CoreClaw 提供 100+ 现成数据采集工具,支持 Amazon、TikTok、Google Maps、Instagram、Facebook、YouTube 等平台,无需代码,支持 JSON/CSV 导出,仅对成功结果计费。 免费$3测试! 优刻得星图astraflow大模型…

read the full Agent-Reach overview →

About JeecgBoot

中文 English 日本語 JeecgBoot AI低代码平台 =============== 当前最新版本: 3.9.5(2026 08 27) 项目介绍 企业级 AI 低代码开发平台 JeecgBoot 是一款 AI 低代码开发平台,以 低代码开发、AI 应用平台和 AI 知识库 为核心能力。随着 AI Skills 自然语言编程的发布,平台迈入低代码 v2.0:开发者可用一句话生成完整系统或业务模块,由 AI 自动完成前后端代码、建表 SQL 和菜单权限,生成即可运行;也可快速构建企业 AI 应用和智能知识库,将更多精力投入核心业务。 平台内置完整的 AI 应用开发能力,包括 AI 聊天助手、知识库、流程编排、MCP 和插件,并兼容 ChatGPT、DeepSeek、Ollama 等主流大模型。 JeecgBoot 引领 “AI 生成 → 在线配置 → 代码生成 → 手工合并” 的 AI 低代码开发模式,帮助解决 Java 项目中 80% 的重复工作,在大幅提升开发效率的同时保留源码级扩展能力,兼顾效率与灵活性。 平台采用主流前后端分离技术栈,前端基于 Ant Design Vue、Vue3、TypeScript 和 Vite,后端基于 Spring Boot 4、Spring Cloud Alibaba 和 MyBatis

read the full JeecgBoot overview →

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Frequently asked questions

Is Agent-Reach or JeecgBoot more popular?

Agent-Reach has 108,502 GitHub stars and JeecgBoot has 48,367. Agent-Reach has the larger community by that measure.

Are Agent-Reach and JeecgBoot free?

Both are open source. Agent-Reach is licensed under MIT and JeecgBoot under Apache-2.0. Neither carries a licence fee.

What is the difference between Agent-Reach and JeecgBoot?

Agent-Reach is written in Python and JeecgBoot in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Agent-Reach or JeecgBoot?

Choose Agent-Reach if you want the larger community (108,502 stars) or its MIT licence terms. Choose JeecgBoot if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.