🐍 EvoSlither - Genetic Algorithm Bot for Slither.io

Watch artificial evolution in real-time! EvoSlither is an intelligent bot that learns to play Slither.io through genetic algorithms, adapting and improving with each generation.

🧬 What is EvoSlither?

EvoSlither isn't just another bot - it's a living laboratory where you can observe natural selection in action. Each game session contributes to the bot's evolutionary journey, as it refines its strategies through mutation and selection.

🔍 Research Features:

• Real-time DNA analysis - Watch 8 genetic parameters evolve
• Death cause analytics - Understand why bots fail and adapt
• Dynamic status panel - Monitor evolution with auto-updating UI
• Learning visualization - See the bot develop survival strategies in the field

🚀 Quick Start

1. Visit slither.io
2. Enter a nickname but wait to join game
3. Open browser console (F12 → Console)
4. Copy & paste the code from src/evoslither.js
5. Run the code making it ready to work: in console you'll see "injected" confirmation
6. Close browser console (F12 again)
7. Join the game, the bot starts working: you'll see it "taking the helm" and roaming
8. Press E to enable/disable the bot: disable it, when you like to steer/speed-up by your own: press E again to kick it back in
9. Press V to toggle the real-time evolution dashboard on

🎮 Controls

Key	Function
E	Toggle bot on/off
C	Console status report
V	Visual status panel (auto-refresh)

NOTE: Console status report gives the very same info as the real-time monitor panel (for now). To use it, just press C while the bot is roaming (so, not in the browser's console), but you'll need to open the Console (F12) to see the results (the bot keeps going, while you look at the Console)

📊 What You'll See

The bot starts "naive" but learns quickly:

• Generation 1: Random movements, frequent deaths
• Generation 10: Basic survival instincts
• Generation 50: Strategic play emerging
• Generation 100+: Sophisticated hunting and evasion

🧪 The Science Behind It

EvoSlither uses a genetic algorithm with 8 evolvable parameters:

• Safety distance from enemies
• Aggression levels for hunting
• Fear responses to threats
• Center-seeking behavior
• And more...

Each parameter evolves through mutation and selection - successful strategies survive, while poor ones die out.

⚠️ Important Notes

• Educational Purpose: This project focuses on algorithm research
• Use Responsibly: May violate Slither.io's Terms of Service
• No Guarantees: Bot performance varies based on learning progress
• Not Affiliated: Independent research project

🔗 Learn More

• Genetic Algorithm Explanation - How the evolution works
• Project Origins - Credits and attributions
• Version History - What's new in each release

🛠️ Development

Contributions welcome! This project is perfect for:

• AI/ML students exploring genetic algorithms
• Developers interested in game AI
• Researchers studying emergent behavior

🧠 Development Notes

This project was created, starting from the original author's code (see CREDITS), through a collaborative learning process between human developer and AI assistant, exploring genetic algorithms and game AI concepts. Invaluable assistance was given by Aria@DeepSeek (the AI).

📜 License

MIT License - see LICENSE.md for details.

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Ready to witness artificial evolution? Copy the code and watch learning happen in real-time! 🚀

"The most exciting phrase to hear in science, the one that heralds new discoveries, is not 'Eureka!' but 'That's funny...'" - Isaac Asimov