Spring
Top open-source Spring AI systems, agents, and MCP tools.
Discover and install verified Spring AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (25)
Open in Advanced FilterSpring Boot Starter: Auto-convert existing REST APIs (@RestController) to MCP Server with zero/low-code. Expose controllers as MCP Tools instantly.
Spring Boot AI Agent — an out-of-the-box solution that makes your app converse, remember, think, and act.
Safe local execution layer for AI agent tools. Build and test-run MCP tools (no pass, no run), serve them from a built-in MCP server, and use them in Agentic Chat with RAG, human-in-the-loop approval, and built-in observability. Cross-platform desktop app powered by Spring AI.
A Spring Boot agent harness built on AgentScope Java 2.0 and JDK 25: multi-turn chat over HTTP, a fresh agent per request, shared session history.
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享 OpenClaw 保姆级教程、大模型玩法(DeepSeek / GPT / Gemini / Claude / GLM)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(Agent Skills / RAG / MCP / A2A)、AI 编程教程(Harness Engineering)、AI 工具用法(Cursor / Claude Code / TRAE / Codex / Copilot)、AI 开发框架教程(Spring AI / LangChain)、AI 产品变现指南,帮你快速掌握 AI 技术,走在时代前沿。本项目为开源文档 aiguide,已升级为鱼皮 AI 导航网站
🔥 Java enterprise application development framework for full scenario: Restrained, Efficient, Open, Ecologicalll!!! 700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; Compatible with java8 ~ java26; Supports LTS. (Replaceable spring)
企业级 AI Agent 平台 | Spring Boot 3 + LangChain4j | ReAct 推理 + 多路召回 RAG + 语义缓存 + 多智能体协作
TAgent 是一个基于 Java 17、Spring Boot、Spring AI 和 DDD 分层构建的 AI Agent 工程实践项目。 它不是只封装一次模型调用,而是覆盖了一次 Agent 请求从接入、路由、运行时装配、规划执行、RAG、记忆、MCP 工具治理、人工审批、执行中干预,到 SSE 流式输出和全链路观测的完整过程。
TripStar multi-agent travel planner powered by Spring Boot 4, Spring AI Alibaba, StateGraph, multimodal note understanding and AMap
🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.
🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.
A curated collection of DESIGN.md rule systems and design tokens for vibe-coding agents to instantly generate production brand UIs.
Lightweight, easy-to-use engine to get up and running with Llama 3, Mistral, Gemma, and DeepSeek locally on CPU and Apple Silicon.
【AI 时代的业务系统基座】企业级 AI 低代码平台:权限、多租户、工作流、报表、大屏、AI 知识库等通用能力开箱即用,AI 只需生成业务差异部分。AI Skills 一句话生成完整系统——建表、前后端代码、菜单权限、BPM 流程、表单、报表、大屏全自动。内置 AI 应用平台(聊天、知识库、流程编排、MCP),兼容主流大模型。Java + Vue3,支持单体/微服务与信创国产化。
LangChat 是由 LangChat Team 开发的开源 AI Agent 应用平台,支持多模型、Agent、知识库 RAG、Skills、MCP 与智能问数。
AI equity research agent with resilient workflows, evidence-grounded RAG, versioned reports, and automated quality evaluation.
Build & Monetize for Spring
Have you created an autonomous agent, MCP server, or Claude Code skill for Spring? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

