Star History
Momentum
+59
STARS · LAST 30 DAYS
2
PER DAY
#129
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +59 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +5 | +19 | +47 |
mage gained 59 stars in the last 30 days, about 2 a day, and now has 2.4K. It is about 14 years old and has averaged roughly 169 stars a year. It ranks #129 among Java repositories and #1,720 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#1634
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mage has maintained a continuous presence across global trending indexes, peaking at #1634. Below is the 30-day activity profile:
💡 Overview
mage is an open-source project written in Java: XMage - Magic Another Game Engine.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, card, ccg. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Java for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/magefree/mage.git
cd mage
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mage 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 mage.
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
Install mage using your package manager: `git clone https://github.com/magefree/mage.git`
Initialize your project workspace or configuration file for mage.
Import mage into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mage --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
magefree/mage is currently ranked #1,720 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #1,720 | magefree/mage This Project | Java | ★ 2.4K | |
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Frequently Asked Questions
What does mage do? +
XMage - Magic Another Game Engine
What language is mage written in? +
The primary language is Java. Topics include: ai, card, ccg, client-server, computer-opponents.
Is mage actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 1,923 open issues being tracked.
How many stars does mage have? +
mage has 2,365 stars and 947 forks on GitHub.
How does mage rank among GitHub repositories? +
With 2,365 stars, magefree/mage is ranked #1,720 globally across all repositories tracked on GitHubRepo and #129 among Java projects.
What license is mage distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.