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Tags: Backend and APIs
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1–24 of 69 · Most stars

Translated[Business system foundation for the AI era] Enterprise-grade AI low-code platform: general capabilities such as permissions, multi-tenancy, workflows, reports, dashboards (large screens), and an AI knowledge base work out of the box, so AI only needs to generate the business-specific parts. AI Skills generate a complete system from a single sentence: table creation, front-end and back-end code, menu permissions, BPM processes, forms, reports, and dashboards, all fully automatic. Built-in AI application platform (chat, knowledge base, workflow orchestration, MCP), compatible with mainstream large models. Java + Vue3, supports monolithic/microservice architectures and Xinchuang (localized, domestically developed IT) environments.

  • antd
  • activiti
  • codegenerator
  • springcloud

Universal File Online Preview Project based on Spring-Boot

  • fileview
  • kkfileview
  • office-view
  • fileviewer

Your go-to microservice framework for any situation, from the creator of Netty et al. You can build any type of microservice leveraging your favorite technologies, including gRPC, Thrift, Kotlin, Retrofit, Reactive Streams, Spring Boot and Dropwizard.

Ribbon is a Inter Process Communication (remote procedure calls) library with built in software load balancers. The primary usage model involves REST calls with various serialization scheme support.

Apache Avro is a data serialization system.

  • csharp
  • ruby
  • cplusplus
  • python

Open-source framework for native apps from one Java codebase, with a custom-rendered UI you control across iOS, Android, desktop, web, and watches.

🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.