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java GitHub repositories

Explore 32 tracked GitHub repositories tagged java. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 89 stars since the previous daily snapshot.

Tracked repositories
32
Total stars
305,969
Stars gained · 7 days
+1,948
Stars gained · 30 days
+3,588

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Star activity for java repositories on this page
RepositoryTotal starsToday7 days30 days
Snailclimb/JavaGuide159.3K+31+140+387
bethington/ghidra-mcp5.9K+20+1,358+1,925
langchain4j/langchain4j13.3K+7+46+148
dbeaver/dbeaver52.2K+6+257+328
xberg-io/xberg9.5K+5+22+114

Explore repositories

Showing 1–32 of 32 tracked repositories.

langchain4j/langchain4j

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.
★ 13.3K+7 todayJava
llmopenai
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w8123/EnterpriseAgentFramework

ReachAI企业级智能体开发平台：快速、安全完成已有业务系统智能化改造，让 AI 在 OA、ERP、CRM 等原系统中查数据、填表单、办业务。ReachAI: Quickly and securely bring AI to existing enterprise systems, enabling AI to query data, fill out forms, and execute business tasks directly within OA, ERP, CRM, and other business applications.
★ 964+4 todayJava
ai-agentsmcp
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JetBrains/koog

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
★ 4.6K+2 todayKotlin
llmai
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h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
★ 7.5K+1 todayJupyter Notebook
machine-learningpython
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