An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Open-source, AI-native, low-code platform for API orchestration, workflow automation, and AI agent integration across internal systems and SaaS products.

Official Java SDK for the Agent2Agent (A2A) Protocol

Easily and Quickly Define, Develop and Integrate your MCP Resources, Prompts and Tools with Java annotations. Built on the official MCP Java SDK, but no Spring.

Dynamo Multi AI Agent POC: Unlock the Power of Spring AI and LangGraph4J

Gomoku Battle is a cross-language cross-system battle platform.

Open-source AI Agent Development Framework built in Java - Build intelligent conversational agents with Gemini, and Free AI Models

Train and validate computer vision models with integrated tools supporting YOLO and other frameworks directly within the platform.

A REST-Full Web Services APIs for an Online Shopping App Based on Spring Boot. All functionalities of an online shopping app such as login/signup, add to cart, remove from cart and place order are provide which is fully connected with database.

💬 Build real-time chat applications in Java with ease, focusing on simplicity and efficiency for developers and users alike.

Halma Two-player Game, Design and Implement an AI Agent

个人练习workflow+RAG应用

about learning Spring Boot via examples. Spring Boot 教程、技术栈示例代码，快速简单上手教程。

Building a simulation of a RoboCup Soccer competition using an artificial intelligence project written in a Java Jade environment.

Enterprise AI Agent Orchestration for Java/Spring Boot. Sequential, parallel & conversational flows with Apache Camel integration.

springAiTest- a simple server, runs models with live websearch and rag system and custom knowledge base

♟ AI agent for a deterministic board game with no hidden information

AI-powered Chrome extension using Java Spring Boot and Google Gemini API to generate intelligent email replies with one-click convenience.

A Spring Boot Embabel Shell demo showcasing a meeting summarizer agent that uses GOAP planning and LLMs to extract key points and action items from transcripts.

This is a financial AI agent that utilizes function calling to invoke application-specific methods in response to user prompts.