#Spring-ai
Showing 32 of 32 repositories tagged #spring-ai, ranked by stars
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。
Agentic AI Framework for Java Developers
An Application Framework for AI Engineering
↥ ↥ ↥ Follow for updates An RBAC permission management system based on Spring Cloud 2025, Spring Boot 4, and OAuth2.
编程导航 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。
Bringing together outstanding artificial intelligence (AI) open source projects from around the world.
Agents-flex is A lightweight Java AI agent development framework (positioned as a counterpart to Spring AI). It supports features such as RAG, MCP, Skills, Text2SQL , LLM Wiki, Sub-agents, Web Search, TTS (synchronous and streaming), and STT.
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
2025 年 AI 编程助手实战项目（作者：程序员鱼皮），基于 Spring Boot 3.5 + Java 21 + LangChain4j + AI 构建智能编程学习与求职辅导机器人，覆盖 AI 大模型接入、LangChain4j 核心特性、流式对话、Prompt 工程、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、Web 爬虫、安全防护、Vue.js 前端开发、SSE 服务端推送等企业级 AI 应用开发技术。帮助开发者掌握 AI 时代必备技能，熟悉 LangChain 框架，提升编程学习效率和求职竞争力，成为企业需要的 AI 全栈开发人才。
IoT DC3 — open-source, cloud-native industrial IoT platform. Multi-protocol device access, data collection & management with 28 drivers, Spring Cloud, gRPC, and native LLM integration.
《动手学SpringAI》包含SSE流/Agent智能体/知识图谱RAG/FunctionCall/历史消息/图片生成/图片理解/Embedding/VectorDatabase/RAG
面向 OA、ERP、CRM、工单等企业系统快速构建智能体，让 AI 在权限、审计与治理约束下安全调用真实业务能力。Build agents quickly for enterprise systems such as OA, ERP, CRM, and ticketing, enabling AI to safely call real business capabilities under permissions, audit, and governance controls.
🌱 Argus 是一个基于 RAG 架构的开源知识库平台，后端采用 Java 21 + Spring Boot + MyBatis-Plus + PostgreSQL/pgvector，前端采用 Vue 3 + TypeScript + Element Plus，AI 层基于 Spring AI Alibaba（通义千问）+ ReactAgent 图引擎，以 MinIO + Elasticsearch 为存储与检索引擎。
（Spring Boot 3. X Microservices framework） 基于Spring Boot 3.X 的 Spring Cloud Alibaba / Spring Cloud Tencent + React的微服务框架。🔝 🔝 点个starrred 关注更新。Chat GPT(RAG、TTS、STT、LLM)
Enterprise-ready Spring AI platform for RAG, tool calling, async ingestion, JWT/RBAC security, and observability.
Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.
Arconia is a framework that acts as an add-on for Spring Boot, designed to enhance modern enterprise applications built with Java. You can add Arconia to an existing Spring Boot application to boost developer experience, reduce boilerplate, and seamlessly adopt cloud native patterns.
Production-grade Claude Code and Codex skills for Spring Boot developers
From Java Dev to AI Engineer: Spring AI Fast Track
一个多智能体协作应用平台，支持多策略 Agent 调度、多工具编排、RAG 检索增强、会话记忆与执行过程持久化，能够按业务场景动态组织多智能体分工协作，完成复杂任务拆解、工具调用与结果汇聚，提升运维和分析场景的自动化与智能化水平 项目wiki：https://zread.ai/OWWZO/ai-agent
【AI应用平台】一个AI应用与零代码结合体，旨在帮助开发者快速构建和部署AI 应用和零代码搭建！功能涵盖：AI应用、零代码搭建、AI报表、AI大屏、AI仪表盘、Chat2BI报表
编程导航 2025 年 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。
Samples showing architectural patterns for Modular RAG using Spring AI and Ollama.
Sample Spring AI Application with several use cases
Easily get started with Spring-AI to develop various AI applications, including TextToSQL and private data AI application development. In addition to these capabilities, Spring-AI also supports integration with several other advanced AI technologies and platforms such as DeepSeek, Azure, Ollama, Vector Databases, Function Calling, MCP and RAG.
Spring AI agent engineering project with Java, MCP, RAG, tool calling, multimodal workflows, and UI prototypes.
LLM and agent evaluation for Java & Kotlin. Runs in JUnit and CI. Spring AI, LangChain4j, Koog, Embabel, and any LLM client.
This demo application showcases the implementation of Spring Boot microservices, highlighting their powerful features and capabilities, with a particular emphasis on integrating OpenAI for advanced AI functionalities.
Mastering Spring Boot from fundamentals to production — REST APIs, Security, JPA, Microservices, Kafka, Docker, Kubernetes, CI/CD, and AI-powered backend development.
A unified interactive portal solution for multiple agents, enabling users to access multiple types of agent services through a single interface.
a rag implementation example for document-based QA, using spring-ai, ollama, and postgres-pgvector vetor db.
Spring AI framework for Java that plans, executes, and improves itself — agents detect capability gaps at runtime and generate validated skills on the fly.