mateaix/matecloud

🔥MateCloud是一款基于Spring Cloud Alibaba的微服务架构。目前已经整合Spring Boot 4.0.7、 SpringCloud 2025、Spring Cloud Alibaba 2025、Spring Security Oauth2、Feign、Dubbo、JetCache、RocketMQ等，支持多租户的低代码平台，Saas平台开发套件 observed · 2026-08-28

github.com/mateaix/matecloud · homepage · Java · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

83/100

Activity 95
Release rhythm 58
Longevity 100

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

gap_med: n/a
age_days: 2499
days_rel: 66
days_push: 32
n_releases_24m: 1

Full methodology

Adoption not part of the score

1689 stars · 467 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MateCloud is a Java-based microservices scaffold built on Spring Boot 4, Spring Cloud 2025, Spring Cloud Alibaba, and Dubbo 3, offering gateway, auth, system management, and notification services plus 27 plug-and-play starters with DDD/CQRS structure and multi-tenant SaaS support. It also integrates Spring AI 2.0 with multiple LLM providers and MCP-based agent tooling, deployable as either a monolith or microservices via Docker Compose.

Use cases

build a multi-tenant SaaS platform in Java
bootstrap a Spring Cloud Alibaba microservices project
set up a gateway, auth, and admin backend quickly
add LLM chat and AI agent capabilities to a Java backend
switch between monolith and microservices deployment
implement RBAC permission management with Vue3 admin UI
expose business tools to AI agents via MCP
orchestrate Nacos, Redis, MySQL, and RocketMQ services with Docker Compose

When to choose

you want a production-oriented Java microservices scaffold with auth, RBAC, and multi-tenancy out of the box
your stack is Spring Boot / Spring Cloud Alibaba / Dubbo and you want prebuilt starters
you need both monolith and microservice deployment modes from one codebase
you want Spring AI integration with multiple LLM providers and MCP tooling

When to avoid

you need a lightweight single-service app without microservices overhead
your stack is not JVM-based
you want a fully managed cloud platform rather than self-hosted infrastructure
you need a mature framework with a large international community and English documentation

Facets

framework · maturity active

microservices api-gateway auth rpc caching message-queue service-discovery monitoring llm-inference mcp chatbot workflow-automation deployment self-hosted developer-tools boilerplate microservices backend cloud-computing large-language-models web-development self-hosted developer-tools apis jvm self-hosted cloud cross-platform spring-cloud-alibaba spring-boot dubbo nacos sa-token multi-tenant saas rbac ddd cqrs low-code spring-ai vue3 starter-kit scaffold devops ai-agents docker web-server

3 sources

readme: https://github.com/mateaix/matecloud · fetched 2026-08-28 · 9ed71aab9305
homepage: https://mate.vip · fetched 2026-08-29 · 685e38c28c56
site_page: https://claw.mate.vip/docs · fetched 2026-08-29 · c8004106d160

Member repositories

Repository	Role	Health v2
mateaix/matecloud	main	83

For agents

markdown · JSON · MCP: product_card(name="mateaix/matecloud")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem