Red Runner

Red Runner, Awesome Platformer Game.

It is now free and open source and always will be. 👏 🎉

✨ Getting Started	🚀 Download	📷 Screenshots

📷 See Screenshots

🎥 See the Trailer

Getting Started

Follow the below instructions to get started with Red Runner source code:

1. Make sure you have all Requirements
2. Download Source Code
3. Open Project in Unity and Enjoy!

Requirements

Make sure you have the below requirements before starting:

• Unity Game Engine version 6000.2.6f2 (Unity 6)
• Basic Knowledge about Unity and C#

Download

You can get access to Red Runner source code by using one of the following ways:

• ✨ Download Source Code
• 🔥 Download Source Code from Itch.io
• Clone the repository locally:

git clone https://github.com/BayatGames/RedRunner.git

Also you can the build version of the Red Runner using the following ways:

• ⭐ Download from Itch.io

Screenshots

Credits

• Graphics: Free Platform Game Assets
• Save System: Save Game Pro - Save Everything
• Game Engine: Unity
• Thanks to all of the game development community for their awesome help.

Related

• Awesome Unity - A curated list of awesome Unity assets, resources, and more.
• Games on GitHub - 🎮 A list of popular/awesome videos games, add-ons, maps, etc. hosted on GitHub. Any genre. Any platform. Any engine.
• GameDev Resources - 🎮 🎲 A wonderful list of Game Development resources.
• UnityLibrary - 📚 Library of all kind of scripts, snippets & shaders for Unity.

DDA (Dynamic Difficulty Adjustment) System

This fork includes LLM-based Dynamic Difficulty Adjustment using the MAPE-K loop architecture from the DDA-MAPEKit paper (SBGames 2024).

Features

• LLM-Powered Adjustments: Uses Gemini (free) or Claude (paid) to intelligently adjust game difficulty
• Interactive Configuration: Custom wizards to configure variables, metrics, prompts, and mappings
• Multi-Provider Support: Compare Gemini vs Claude performance side-by-side
• MAPE-K Architecture: Monitor → Analyze → Plan → Execute with Knowledge base
• SPAR Prompting: Structured prompts following best practices from the paper
• Offline Testing: Simulate player profiles without running the game
• Evaluation Tools: Compare LLM-based vs rule-based approaches

Quick Start with DDA

1. Scaffold components: /dda-scaffold configure (interactive) or /dda-scaffold all (defaults)
2. Configure metrics: /dda-metrics add custom to track player behavior
3. Generate prompt: /dda-prompt generate custom to customize LLM reasoning
4. Wire systems: /dda-integrate configure-mapping <variable> for each difficulty variable
5. Test offline: /dda-test simulate custom with synthetic player profiles
6. Evaluate: /dda-evaluate compare to compare LLM vs rule-based

See CLAUDE.md for detailed documentation on all DDA skills and workflows.

DDA Skills

Skill	Purpose
dda-scaffold	Generate MAPE-K components with optional configuration wizard
dda-metrics	Instrument player behavior metrics with custom collection methods
dda-prompt	Create and optimize SPAR-format prompts for LLM policy engine
dda-integrate	Wire difficulty variables to game systems with flexible mappings
dda-test	Simulate player profiles and test adjustments offline
dda-evaluate	Compare LLM vs rule-based approaches with detailed reports

Configuration

All DDA settings are stored in Assets/Scripts/RedRunner/DDA/dda_config.json, allowing you to:

• Version control your DDA strategy
• Share configurations with teammates
• Switch between different setups easily

Resources

🚀 Patreon

📰 Support and News

License

MIT @ Bayat Games

Made with ❤️ by Bayat Games