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Tags: LLM tools
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1–16 of 16 · Most stars

一款免费开源的 AI 低代码平台,也是 AI 时代构建复杂业务系统的开源基座!权限、多租户、工作流、报表、大屏、AI 知识库等通用能力开箱即用,AI 只需生成业务差异部分。AI Skills 一句话生成完整系统——建表、前后端代码、菜单权限、BPM 流程、表单、报表、大屏全自动。内置 AI 应用平台(聊天、知识库、流程编排、MCP),兼容主流大模型

  • antd
  • activiti
  • codegenerator
  • springcloud

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.

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

Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times better than GPT-4. Built with Adaptive Graph-Guided Retrieval and Persistent Debug Memory. Model available Q1 2026 via Kodezi OS.

🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.

  • kafka
  • rest
  • server-sent-events
  • streaming-api

TranslatedAn enterprise-grade AI chat and knowledge base assistant based on Spring Boot 4 and Spring AI 2.0

TranslatedMy RAG system, which can be used to import a knowledge base for knowledge Q&A, can integrate third-party MCP, and also has permission isolation, etc.

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

  • agent-evaluation
  • evaluation-framework
  • evaluation-metrics
  • java