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XDagger
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XDagger/xdagj

XDAGJ is an implementation of XDAG in Java. https://xdag.io

★123STARS
⑂63FORKS
!14ISSUES
🏆#9,861GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#836

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

xdagj gained 10 stars in the last 30 days, about 1 a day, and now has 123. It is about 6 years old and has averaged roughly 21 stars a year. It ranks #836 among Java repositories and #9,861 across all languages on GitHubRepo.

Trending Record

xdagj has maintained a continuous presence across global trending indexes, peaking at #9021. Below is the 30-day activity profile:

💡 Overview

xdagj is an open-source project written in Java: XDAGJ is an implementation of XDAG in Java. https://xdag.io.

Engineered for speed, consistency, and developer ease, it solves common hurdles in asic-resistant, blockchain, consensus-protocol. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Java for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/XDagger/xdagj.git
cd xdagj

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

xdagj coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with xdagj.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install xdagj using your package manager: `git clone https://github.com/XDagger/xdagj.git`

2

Initialize your project workspace or configuration file for xdagj.

3

Import xdagj into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `xdagj --help` to verify successful setup.

👍 Strengths

Active community backing with 123 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Java for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Java and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

XDagger/xdagj is currently ranked #9,861 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,842 vvrnv/argo9s Go ★ 124 Compare ↗
#9,842 AgileShift/cargo_management Python ★ 124 Compare ↗
#9,842 5151561/nodyssey Kotlin ★ 124 Compare ↗
#9,842 CluvexStudio/ZedSecure Kotlin ★ 124 Compare ↗
#9,842 MiniMax-AI/OpenAgentCore Go ★ 124 Compare ↗
#9,861 XDagger/xdagj This Project Java ★ 123
#9,861 ericrisco/rsc-harness JavaScript ★ 123 Compare ↗
#9,861 antonyshakirov/hop Swift ★ 123 Compare ↗
#9,861 lingkuma/LingKuma JavaScript ★ 123 Compare ↗
#9,861 docker/sandbox-kit-spec Go ★ 123 Compare ↗
#9,861 ruphy/speedcrunch C++ ★ 123 Compare ↗

Frequently Asked Questions

What does xdagj do? +

XDAGJ is an implementation of XDAG in Java. https://xdag.io

What language is xdagj written in? +

The primary language is Java. Topics include: asic-resistant, blockchain, consensus-protocol, cryptocurrency, dag.

Is xdagj actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 14 open issues being tracked.

How many stars does xdagj have? +

xdagj has 123 stars and 63 forks on GitHub.

How does xdagj rank among GitHub repositories? +

With 123 stars, XDagger/xdagj is ranked #9,861 globally across all repositories tracked on GitHubRepo and #836 among Java projects.

What license is xdagj distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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