Tag: #java
38 packages • ⭐ 67,692 total stars
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for
LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes impleme
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 91+ formats. Available for Rust, Python
AI + Data, online. https://vespa.ai
Database for Android and JVM - first and fast, lightweight on-device vector database
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Real-time transport layer for Java AI agents. Build once with @Agent — deliver over WebSocket, SSE, gRPC, and WebTransport/HTTP3. Talk MCP, A2A and AG-UI.
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI
AgentScope Java: Agent-Oriented Programming for Building LLM Applications
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Agents-flex is A Lightweight Java AI Application Development Framework.
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vecto
The implementation of the Rascal meta-programming language (including interpreter, type checker, parser generator, compiler and JVM based run-time system)
Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding and SOTA performance.
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, a
Umple: Model-Oriented Programming - embed models in code and vice versa and generate complete systems. Save yourself lots of coding. Do it collaboratively online in UmpleOnline, in an IDE or on the co
Wanaku MCP Router
Controller generation for Javalin, Helidon SE.
Autonomous CLI agent integrations for the Spring AI ecosystem with Claude Code, Gemini CLI, and secure sandbox execution
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、Curs
:sparkles: :dna: Turing ES - Enterprise Search, Semantic Navigation, Chatbot using Search Engine and Generative AI.
🤖 MateClaw — Java + Vue 3 AI Assistant with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, and Multi-Channel Support. Built on Spring AI Alibaba.
AI-native runtime for the GolemCore ecosystem with skills, plugins, MCP, memory, and Hive.
Enterprise-grade distributed AI agent framework | Develop → Deploy → Observe | K8s-native | Dynamic DI | Auto-failover | Multi-LLM | Python + Java + TypeScript
Excalibase GraphQL instantly turns your database into a GraphQL API. Built with Spring Boot, it supports schema discovery, subscriptions, and type handling — no manual resolvers needed.
A type-safe, lightweight, modern, and performant binding Java binding of Microsoft's ONNX Runtime
Model Context Protocol - MCP for Mifos X
This Maven plugin converts Java Bytecode binary files to EOLANG programs that use the "opcode" atom
Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem
Agent-ready telemetry SDK — enriches OpenTelemetry across Java, Go, Python, Node.js, and browser with structured context for AI-driven observability.
💻 Discover essential AI-driven tools, frameworks, and resources to enhance your development process and streamline your projects.
Enhance file search on Windows by integrating Everything search service with a fast and simple replacement search tool.
⚙️ Define and compile AI coding rules, commands, and templates into workflows that work across multiple editors and agents.
📚 Improve your documentation with structured guidance based on the Diátaxis Framework to create content that empowers readers and enhances usability.
🤖 Empower your coding with Note Studio AI, a privacy-focused IDE offering offline AI support and high performance for seamless development.
🗂️ Manage your tasks easily with TaskFlow, a minimal Node.js application that supports adding, viewing, completing, and deleting tasks while saving data as JSON.
⚙️ Simplify your projects with MoLi, a fast and flexible Molang interpreter in Java, designed for easy integration and high performance.