alibaba/spring-ai-alibaba

ARGI [/ˈɑːr.dʒiː/]: Agent Runtime and Graph Intelligence 🚀

🚀 LangGraph for Java is a library for Graph Engineering, designed to build sophisticated AI agentic architectures within the Java ecosystem. It works seamlessly with both Langchain4j and 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.

Enterprise-grade Next-Generation AI Agent Infrastructure

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

Build distributed, production-grade, long-running agents.

Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...),unified AI service(image/video/audio...), Tool Calling, MCP, RAG, SKILLS,Agent Runtime, A2A, agent blueprint, agent harness, and a built-in Coding Agent CLI/TUI/ACP.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

基于原生 Spring AI 的智能体（Agent）开发框架，提供 ReAct 执行引擎、分层记忆、工具调度、Human-in-the-Loop 等核心能力，形成完整的 Harness Engineering 方案，帮助开发者快速构建 AI Agent，可以快速搭建 Java 版的 Claude Code。