jeecgboot vs open-agents
Two of the top app builder starters, side by side: score, setup, license, activity and what each review found.
jeecgboot
Java low-code platform with code generator and built-in AI app builder
open-agents
Reference app for background coding agents on Vercel sandboxes
| What we compare | jeecgboot | open-agents |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 88, widely used | 42, known |
| Freshness | 100, active | 86, active |
| Maintenance | 93, healthy | 0, weak |
| Easy to run | 17, hard | 33, some setup |
| Agent-ready | 0, none | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 48.2k | 5.8k |
| License | Apache-2.0 (permissive) | MIT (permissive) |
| Last commit | Sep 2026 | Jun 2026 |
| Last release | Aug 2026 | None published |
| Language | Java | TypeScript |
| Docker | Yes | No |
| GPU | Optional | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
jeecgboot
JeecgBoot is a Spring Boot 4 and Vue3 platform for building enterprise systems such as OA, ERP and CRM. It pairs an online form builder and code generator with an AI module (model management, knowledge base with RAG, flow orchestration, MCP plugins, chat assistant) built on langchain4j. It runs as a monolith or as Spring Cloud Alibaba microservices.
Who it is for: Java teams building enterprise admin systems with optional AI features
Strengths
- Code generator emits front end, back end, table SQL and menu permissions
- Switches between monolith and Spring Cloud Alibaba microservices (Nacos, Gateway, Sentinel)
- Row, column and form-field level data permissions plus multi-tenant SaaS support
- Supports MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, Dameng, Kingbase and TiDB
Weaknesses
- Only MySQL scripts ship by default; other databases need manual conversion
- README and docs are primarily in Chinese, with English and Japanese variants linked
- Large stack: needs Redis and a database, and microservice mode adds Nacos and more
- AI features are one module in a broad platform, not a standalone AI app server
- Java, ChatGPT, DeepSeek, Qwen, Zhipu
- Needs MySQL 5.7+, Redis, Nacos (microservice mode), MinIO or Aliyun OSS (optional)
open-agents
pnpm monorepo (web app, agent, sandbox and shared packages) where a Next.js app with Better Auth (Vercel and GitHub OAuth) starts durable Workflow SDK runs that drive an agent with file, shell, search and web tools against isolated Vercel sandboxes with snapshot resume. Needs Postgres and a GitHub App for clone, push and PRs; Redis and ElevenLabs voice are optional. For teams forking a hosted coding agent on Vercel.
Who it is for: Teams building a hosted background coding agent on Vercel
Strengths
- Agent runs as a durable workflow outside the sandbox, resumable by reconnecting
- GitHub App integration for repo access, auto-commit, push and PR
- Better Auth with Vercel and GitHub providers wired
- pnpm run ci covers lint, typecheck, tests and migration check
Weaknesses
- Tied to Vercel Sandbox and Workflow SDK; not portable off Vercel
- Setup needs a Vercel OAuth app, a GitHub App and six GitHub env vars
- Model provider configuration is not described in the README
- TypeScript
- Needs PostgreSQL (Neon), Vercel Sandbox, Vercel OAuth app, GitHub App, Redis (optional), ElevenLabs (optional)