Java agents

A simple firebase enabled chat app. SMS & Email Password Authentication enabled.

A java agent for tracing which can be configured via simple text file and instruments the code without rebuilding the project.

LLM and agent evaluation for Java & Kotlin. Runs in JUnit and CI. Spring AI, LangChain4j, Koog, Embabel, and any LLM client.

The official Java client for the Pinecone vector database

自部署影视记录工具，集成 AI Agent 实现对话式标记、推荐与片单管理

Multi-agent systems Development Kit - version 6

Tablestore for Agent Memory

AI assistant for trading in Old School Runescape.

A standalone MCP server that enables AI coding agents to create, manage, and interact with Quarkus applications. It runs as a separate process that survives app crashes, giving agents the ability to create projects, control application lifecycle (start/stop/restart), proxy Dev MCP tools, and search Quarkus documentation.

Mobile Agent that moves on a platform distributed on many machines and recover the mac address of each machine during the deplacement

AI 助手小牛是一个基于大模型的旅行Agent。

Agent-based model of the UK housing market.

JVM runtime class loading protection agent.（JVM类加载保护agent）

An extensible java agent framework that instruments (modifies the bytecode at class loading time) programs running on the JVM, with the purpose of capturing method invocation events (start, finish, errors ...) and notifying custom listeners.

本项目基于 React + Spring Boot + Dubbo + AIGC，致力于为用户和开发者提供全面 API 接口调用和 AI 数据分析服务。

Spring Boot integrations for Amazon Bedrock AgentCore

开箱即用的 Spring Cloud 微服务工程底座，内置 DDD/COLA 分层、可观测性、治理脚本与面向 agentic 开发的 Harness Engineering。

i_arthas 是模仿阿里开源的阿尔萨斯(arthas)写的小工具。整体技术上采用 Java agent 对字节码的加载进 行拦截干涉，利用 ASM/ASM Byte Viewer 实现目标类字节码的加强，通过 Java attach 实现不同 虚拟机进程间的通信，做到了虚拟机层面上的 AOP。 整体实现了简易版的 redefine（热替换）、 watch（方法监控）、trace（方法链路追踪）、timeTunnel（流量采集与回放）等功能。

Spring Boot starter for method tracing, performance monitoring, log file management, and CFR-backed decompilation. Includes a standalone MCP server (methodTraceLog-mcp) that exposes the same capabilities to AI agents over stdio.

claude-code-java 是一个可嵌入任何 Java 应用的 AI Agent 引擎。claude-code-java is an embeddable AI Agent engine for Java applications.

A Super Java Agent

The official AWS X-Ray Auto Instrumentation Agent for Java.

🎬 16-role AI film studio · End-to-end short video pipeline · Multi-agent · Self-hosted

为Minecraft而生的Agent工具，轻松上手

基于 Java 构建的轻量级大模型智能体 (LLM Agent) 框架，支持工具调用、任务规划与自主决策。

A self-hosted RAG agent platform for knowledge management, LLM orchestration, and MCP tool integration. 面向知识管理、LLM 编排与 MCP 工具集成的自托管 RAG 智能体平台。

Jenkins DigitalOcean Agent Plugin

Spring Boot and Spring integration for building AI agent servers using the A2A Protocol.

Build AI agents you can trust in production. AgentFlow4J is a framework and runtime for governed, stateful multi-agent systems on the JVM. Human approvals · Checkpoints · Budget controls · Tool policies · Durable execution

Paper Agent 是一个基于 Spring Boot + React 的自动科研智能体项目，聚焦“文献管理 + RAG 问答 + 论文检索 + 综述写作”闭环。系统支持本地 PDF 论文上传与解析、向量化检索、带证据来源的学术问答、外部论文发现，以及基于本地文献证据生成综述大纲、草稿、参考文献和导出文本。

Kidlogger/StaffCounter monitoing agents source code.

Core runtime engine of the Xatkit low-code bot platform. Easily create complex chatbots. Written in Java

Agent-based OpenTracing instrumentation in Java

The only Java AI framework with a complete Dev → Test → Prod prompt lifecycle, featuring multi-agent orchestration and built-in audio processing

Spring AI agent engineering project with Java, MCP, RAG, tool calling, multimodal workflows, and UI prototypes.

基于 AgentScope Java SDK 的智能代码审查 AI Agent，同时作为 AgentScope 框架学习教程。涵盖 ReAct 模式、工具系统、多 Agent 协作等核心概念。

Build chat in minutes with Sendbird UIKit open source code and samples.

Bitwig Controller Extension that provides an MCP Server for AI Agent control

:memo: Simplified and open note repo

This is an AI project

A Java 8+ LangChain implementation. Build powerful LLM based applications in an (enterprise) Java context.

Codura is an intelligent code assistant designed to supercharge your IDE with context-aware code completion, inline explanations, test case generation, and refactoring suggestions. Powered by large language models, Codura understands your code structure and developer intent—making your development faster, cleaner, and more efficient.

基于Spring Boot 3 + LangChain4j的AI零代码应用生成平台。通过用户输入自然语言，由AI Agent 自动执行多源上下文增强、代码生成、项目构建的完整工作流，可一键部署为可访问的Web应用。并结合多级缓存、异步处理、安全护轨等多种优化策略，保证系统的高性能与稳定性

ZhuLing — Zero-config AI Agent framework for Java. One YAML to launch Agents on Spring AI + DDD, with MCP tools, full observability and a ReAct core. Ai Agent 快速开发框架

Lumina 是一个企业级 AI Agent 开发框架，基于 AgentScope Java 和 Spring Cloud 构建，提供开箱即用的 Agent 能力、微服务架构和企业级特性。

JavaChain 用于快速搭建LLM应用，参考了 LangChain 的架构设计，基于Java8实现。

Java 23, SpringBoot 3.4.1 Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini Pro 1.5, Claude 3, Llama 3.1, Phi-3, Gemma 2, Falcon 3, Qwen 2.5, Mistral Nemo, Wizard Math

Explain Jenkins job failures with AI

Infobip OpenAPI MCP is a framework for exposing OpenAPI documented HTTP APIs as MCP servers. It is based on Spring AI and made to run as a Spring Boot application. It is powering Infobip's own MCP servers, and you can use it to implement your own MCP servers.

A from-scratch Java CLI agent with Read/Write/Bash tool-calling and an agentic loop, built via CodeCrafters using the openai-java SDK + OpenRouter (Claude Haiku 4.5).

Agent Platform for AI-Native Companies

Lightweight BApp that seamlessly integrates powerful LLM-scanning capabilities into Burp's built-in Scanner with improved accuracy. Supports the latest LLMs from OpenAI (gpt-4o, o1), Anthropic (Claude 3.5, Claude 3), and Google (Gemini 1.5). Requires valid API key(s) and an active Burp Suite Pro or Enterprise license.

Reactive WebFlux OpenAI API Client in Java

它是一款面向数学建模的自动化Agent，基于Spring AI Alibaba Graph框架开发：从问题陈述出发自动构建并求解数学模型、进行数据验证与可视化，最终输出包含方法、结果、代码、数据与参考文献的可直接投稿的完整论文。

A system for running Multi-Agent Path Finding (MAPF) experiments, with multiple implemented algorithms.

一款集成了ReAct，Plan-and-Execute和Multi-Agent的coding agent

Snail AI 企业级 AI Agent 平台 - 让 AI 更智能，让开发更高效

Lightweight Java library to interact with the OpenAI API (GPT, DALL-E, TTS, etc.)

This project contains source code to demonstrate the usage of Retrival Augmented Generation (RAG) feature using Spring AI using PG Vector as the Database and Ollama as the Local LLM

Chatbot conversations: a demo application how two (or more) chatbots can talk to each other, the logic used to build Eliza (along with an NLP model) has been used to power the chatbots.

An Self learning AI Chatbot who doesnt let you waste food by recommending awesome Recipies

OxyJen is an open-source Java framework for orchestrating LLM workloads with graph-style execution, context-aware memory, and deterministic retry/fallback. It treats LLMs as native nodes (not helper utilities), allowing developers to build multi-step AI pipelines that integrate cleanly with existing Java code.

🤖 Say hello to Chatbot AI, the innovative chatbot that allows you to easily ask questions and receive accurate and informative responses in real-time. Whether you need help with everyday tasks, want to learn something new, or just want to chat, Chatbot AI has got you covered.

A NetBeans plugin that allows Google Gemini to do all your work on the worlds best Java IDE. Get a wireless headset, lay on your bed and tell the model to turn on your tv and stream NetBeans onto it while you approve and deny diffs on the diff viewer. Try not to drink too much alcohol if the model goes way faster than your thoughts.

Spring Petclinic application with a chatbot powered by OpenAI's Generative AI and the Spring AI project

A collection of objects and behaviors for creating dynamic multi agent interactions. 2D|3D Multi Object Behavior library focused on hybrid system interactions with custom Visualization, Data, and performance features.

基于个人知识库的AI问答系统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

Jakarta Agentic Artificial Intelligence

MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.

基于LLM大模型+AI Agent管理数据库的AI智能学校管理系统，本项目采用Vue3+TypeScript+Vite前端与Spring Boot+MyBatis+MySQL后端技术栈，支持通过自然语言实现学生、员工、班级等数据的查询、统计分析、增删改操作，具备智能意图识别与参数提取能力，集成智谱/DeepSeek等大模型API，提供数据可视化分析、对话历史持久化、多会话管理等完整学院管理功能

One API, any AI

Please Read Me First. This is a set of java file of my final version of electronic artifacts. This is a game to map my experience in Disney World, in Orlando during this spring break. However, because of my limited skills in computer science, I really have no idea how to simplify the process to run the game. Sorry for the inconvenience. In order to run the game, you may need to install JAVA. I hope the following links will help you.     http://www.oracle.com/technetwork/java/javase/downloads/index-jsp-138363.html#javasejdk
    http://www.cc.gatech.edu/~simpkins/teaching/gatech/cs1331/guides/install-java.html My main file is called Disney. You can call Disney in console to start the game. However, I failed to putting all the things inside Disney file. Therefore, you may also need to call AdventureLand, MainStreet, and FrontierLand to start other three games. I hope this will help you. Sorry again for the inconvenience. 1. the structure of my project My project only focused on my trip in Magic Kingdom, one part of Disney world in Orlando. It is a game which guides players to choose from six sub-games, which match six sections of the park, Main Street U.S.A, Tomorrowland, Adventureland, Frontierland, Fantasyland and Liberty Square. I chose one of the rides I took in each section which, from my perspective, shows what I found interesting in Disney world. I changed what I experienced in the park into a small computer game. I want to share my experience with others while they play my games. In the following part of self reflection, I explain the background, rules and other things about each game. For convenience of matching them, I use different color to mark different parts. I hope it will help readers a little bit when they are lost in my disordered reflections. 1. the hall of presidents - Liberty Square 2. Festivall parade - Fantasyland (I explain this one in the part of technology skill limitations) 3. Big Thunder Mountain Railroad - Frontierland

The eqasim framework features an integrated transport simulation environment. It is based on the agent-based transport simulation framework MATSim with added components for simulation of discrete choice models.

基于检索增强生成（RAG）技术的微信聊天记录智能问答系统

Enterprise-grade AI Agent Development and Operation Platform - Providing a complete solution for agent creation and distribution, knowledge base management, model proxy, memory system, and plugin ecosystem.

⚡ Official Java SDK for Dify AI platform - Complete Chat, Workflow & Knowledge Base APIs with real-time streaming

A semantic event bus for AI-agent ecosystems

Pocket Flow: A minimalist LLM framework. Let Agents build Agents!

RAG Agent System - Spring AI + React + Multi-modal Document Parsing + Hybrid Vector Retrieval

Chatbot example using the Twitch4J API [https://github.com/twitch4j/twitch4j]

This repository includes Artificial Intelligence implementation in java language to create chatbot. Chat bot is created in Core Java and Swing Project using Eclipse IDE. Projects can be run on other IDE as command line application. This project includes AI specific reply based on user input, basic type-error detection, text processing and text prediction. I intend to improve this project using more use of Natural Language Processing and better Machine Learning Algorithm in future.

SensorAndAi is an android application which will give you the complete information about all the sensors and some basic information about artificial intelligence.This application will tell you about the use and implementation of the sensor and artificial intelligence.This app will show you how sensor and artificial intelligence is used in any android project. It will also give you all the updates related to sensor and artificial intelligence.

A collection of tools to deal with Bisulfite-seq/NOMe-seq (SNP/Methylation calling: BisSNP; HMM segmentation: DMNTools; Visualization/Clustering: alignWigToBed; )

常见框架开发技术的demo汇总，包括java字节码编程（java agent, instrument, byte buddy）, java动态代理，自定义classloader，java spi, zero copy, netty, spring aop/condition，spring boot starter, 数据库连接池等。

Build lightweight MCP servers in plain Java with annotations, generated schemas, and no Spring runtime

The Kommunicate React Native SDK enables quick integration of AI chatbots powered by OpenAI ChatGPT, Google Gemini, and Anthropic Claude into React Native apps. It acts as a React Native wrapper to bridge our iOS and Android SDKs, supporting NLP, hybrid chat, and real-time messaging for seamless automation.

0基础上手Java AI应用开发教程，从0开始带你学习如何用langchain4j搞定 RAG、Agent、MCP等概念和应用开发。

Mastering Spring Boot from fundamentals to production — REST APIs, Security, JPA, Microservices, Kafka, Docker, Kubernetes, CI/CD, and AI-powered backend development.

Agentic Streaming is for resilient pipelines of stateful agents over continuous data —

Bot that tracks the New Answers to Old Questions tool and reports the flag worthy answers.

🌐 基于OkHttp的二次封装网络请求框架，更简洁易用，自动处理回调线程，Json友好，支持全局请求头、参数和拦截器，更符合应用开发者使用习惯

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.

针对医疗资源分配不均、基础疾病咨询占用专业医生时间等问题，结合国家"互联网+医疗健康"政策导向，开发基于Spring AI框架的智能医疗咨询平台。项目采用RAG检索增强生成技术构建专业医疗知识库，通过MCP协议集成多种外部工具服务，实现具备自主规划能力的AI Agent智能体，为用户提供二十四小时全天候的健康咨询服务。

AI-powered SaaS translation platform for web novels — batch translate with RAG memory, multi-agent collaboration, Stripe billing, Chrome extension & REST API. Java 21 + React 19 + Python.

把对话导购和智能客服融入到传统电商中：Spring Cloud 微服务 + Python Agent，支持搜商品、查订单、售后提案确认。在线体验 www.simlect.com

任性推是一个消息推送机器人，用来通知自己消息的免费服务，目前支持QQ、Telegram两个平台。通过调用API接口，实现机器人给你发送消息的功能。通俗易懂点就是有什么重要通知需要及时知道，可以让任性推第一时间给你发消息。

Integrates LLMs as PTransform in Apache Beam pipelines using LangChain

Framework for Java and Groovy Agents