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ls1intum
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ls1intum/Artemis

Artemis - Interactive Learning with Automated Feedback

Java ◇ apollon MIT
★812STARS
⑂396FORKS
!481ISSUES
🏆#2,936GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for ls1intum/Artemis
CSV

Momentum

+20

STARS · LAST 30 DAYS

1

PER DAY

#218

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+7+20+90
Per day111
Forks gained+2+8+20

Artemis gained 20 stars in the last 30 days, about 1 a day, and now has 812. It is about 10 years old and has averaged roughly 81 stars a year. It ranks #218 among Java repositories and #2,936 across all languages on GitHubRepo.

Trending Record

Artemis has maintained a continuous presence across global trending indexes, peaking at #577. Below is the 30-day activity profile:

💡 Overview

Artemis is an open-source project written in Java: Artemis - Interactive Learning with Automated Feedback.

Engineered for speed, consistency, and developer ease, it solves common hurdles in apollon, artificial-intelligence, assessment. 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/ls1intum/Artemis.git
cd Artemis

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Artemis 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 Artemis.

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 Artemis using your package manager: `git clone https://github.com/ls1intum/Artemis.git`

2

Initialize your project workspace or configuration file for Artemis.

3

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

4

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

👍 Strengths

Active community backing with 809 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.

⇄ Alternatives & Direct Competitors

S

Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.

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G
google/guava ★ 51.9K Java

Google core libraries for Java

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D
apache/dubbo ★ 41.6K Java

The java implementation of Apache Dubbo. An RPC and microservice framework.

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T
eugenp/tutorials ★ 37.3K Java

Getting Started with Spring Boot 3:

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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

ls1intum/Artemis is currently ranked #2,936 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,931 obhq/obliteration Rust ★ 818 Compare ↗
#2,932 TypeLLM/TypeLLM Python ★ 817 Compare ↗
#2,933 spylang/spy Python ★ 816 Compare ↗
#2,934 yukiyokotani/office-open-xml-viewer TypeScript ★ 813 Compare ↗
#2,934 mixelpixx/Konnect Rust ★ 813 Compare ↗
#2,936 ls1intum/Artemis This Project Java ★ 812
#2,936 restsend/rustpbx Rust ★ 812 Compare ↗
#2,938 adamralph/simple-exec C# ★ 811 Compare ↗
#2,939 risa-labs-inc/BossConsole Kotlin ★ 810 Compare ↗
#2,939 noctalia-dev/umbriel C++ ★ 810 Compare ↗
#2,941 golang/playground Go ★ 809 Compare ↗

Frequently Asked Questions

What does Artemis do? +

Artemis - Interactive Learning with Automated Feedback

What language is Artemis written in? +

The primary language is Java. Topics include: apollon, artificial-intelligence, assessment, autograding, automatic-feedback.

Is Artemis actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 481 open issues being tracked.

How many stars does Artemis have? +

Artemis has 812 stars and 396 forks on GitHub.

How does Artemis rank among GitHub repositories? +

With 812 stars, ls1intum/Artemis is ranked #2,936 globally across all repositories tracked on GitHubRepo and #218 among Java projects.

What license is Artemis distributed under? +

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

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