It took me about half a year to figure out how to build a self-contained, ultra-lightweight Deep Neural Machine Learning system, but it's finally ready for early testing.

⚙️ Technical Specs

• 100% Pure Java: No external dependencies or native libraries required.
• CPU-Friendly: Built to be TPS-stable. It won't tank your server unless you're spawning 1,000+ entities (but at that point, Minecraft's base engine will tank anyway).
• Local execution only: No, I don't want to know your browser history.
• No H100 Required: Optimized to run complex inference on standard hardware—who said you need an enterprise GPU to run machine learning?

🧠 The Concept: Real Evolution

This system was developed because I wanted agent entities to level up without the lazy "buff all stats and call it a day" approach. Instead of the easy way, you now get a Deep Machine Learning instance for every single advanced agent.

• Personality & Priority: You define each agent’s "life priority" (reward/score function). This allows for distinct personalities—one agent might be risk-averse and tactical, while another is aggressive.
• Learning by Doing: Agents literally level up by playing the game alongside you.
• Hybrid Logic: This isn't required for every entity; they can always fall back onto the native Minecraft if-else tree if you prefer.

⚠️ Alpha Status

This project is a direct continuation and evolution of the original Aegis Ops mod. While it carries that DNA, we are currently in a heavy Alpha phase, during which many legacy systems are being systematically refined or replaced by the new neural architecture.

Documentation is a work in progress, but the goal is to bridge the gap between complex data science and gameplay. I don’t expect every user to be an expert on backpropagation, forward propagation, or feature engineering – the B-R.EACH Protocol is designed to lower the barrier to entry as much as possible. You’ll just need to learn a few basic concepts to watch your agents truly evolve.

📡 Project Links

• Modrinth:https://modrinth.com/mod/breach_ptc
• Discord:https://discord.gg/APx7RhcP