taishan666/MaxKB4j

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.

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

Java AI Agent, Spring Boot 3, Vue3, RAG, Tool Calling, MCP, LLM, OpenAI-compatible, Milvus, MySQL, Redis, Workflow, Trace, Evaluation, Cost Governance. OpenAgentFlow-Java 是开源 Java AI Agent 工作流平台，核心链路自研，支持智能体编排、知识库问答、文档切片、向量检索、工具调用、MCP 接入、可视化工作流、运行追踪、模型评测、Token 统计、成本治理和企业级二次开发。

LangChat 是Java&LangChain4j生态的开源 AI Agent 应用平台，支持多模型、Agent、知识库 RAG、Skills、MCP 与智能问数。

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.

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

End-to-end platform for building and perfecting LLM agents on the JVM

Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination.