Base AI system is stable.
Advanced Reinforcement Learning RNN is experimental and currently not fully tuned or playtested.
The Exogen did not escape extinction. They dispersed it.
In their final hours, thousands of cryostasis pods were fired into deep space using planetary railguns—each carrying a single augmented organism.
No destination. Only probability.
You are one of them.
Your pod has impacted a viable world: “Overworld.” A kinetic seed anchors below the surface. Systems force you awake.
Your memory is gone. Your identity is gone.
Only function remains.
Your neural lattice cannot operate alone. You require a Beacon.
With it, you can be directed. Without it, you are nothing.
Objective: Secure resources. Expand the signal. Bring others.
Per-Agent Neural Processing: Individual RNN-based logic per agent, allowing adaptive behavior without tanking TPS
Custom ML Framework: 100% Java-based machine learning system designed specifically for real-time gameplay (No GPU needed)
High-Performance Sensor Arrays: Efficient large-scale sensing system enabling complex environmental scanning with minimal performance cost
Previously developed as Aegis Ops (v1.x).
Core features are rebuilt and optimized under the new B-R.EACH architecture.
