B-R.EACH Protocol

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B-R.EACH Protocol

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Deploy elite soldiers to survive a hostile world. Tactical combat, customizable agents, and drop pod deployment.

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Adventure/Exploration
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Forge
Minecraft

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Where It Runs
Client and Server

Must be installed on both the client and the server.

About

Project Details

Type
Mod
License
All Rights Reserved
Latest Version
B-R.EACH_Protocol-1.20.1-2.0.2Beta-protected.jar
Authors
CurseForge
Modrinth

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Modrinth ID

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About

Description

Beacon-Response: Exogenous Augmented Combat Humanoid (B-R.EACH) Protocol. Chapter 1 - Reawakening (BETA)

** ~ I'ts much easier to survive with some friendly companion~**

NOTE FROM AUTHOR:

Base AI system is stable.
Advanced Reinforcement Learning RNN is experimental and currently not fully tuned or playtested.


🧬Introduction

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.


⚙️Core Mechanics

  • Orbital Deployment: Deploy agents via Beacon-activated drop pods.
  • Agent Classes: Distinct roles: defense, assault, and support, each with unique abilities.
  • Survival Systems: Agents require resources to stay operational.
  • Combat AI
    • Standard: Priority-based behavior
    • Advanced: Experimental adaptive neural system (in development)
  • Loadout-Driven Combat: Equipment defines each agent’s role and effectiveness.

🧪Special features:

  • 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


📡 Support & Documentation

Discord is now live. Please join to get support


📜 License & Distribution

  • Private/Modpack Use: Encouraged on CurseForge or Modrinth.
  • Restrictions: DO NOT rehost, repost, or claim the mod as your own. Credit is encouraged but not required

Legacy

Previously developed as Aegis Ops (v1.x).
Core features are rebuilt and optimized under the new B-R.EACH architecture.

Beacon-Response: Exogenous Augmented Combat Humanoid (B-R.EACH) Protocol. Chapter 1 - Reawakening (BETA)

~~~ I'ts much easier to survive with some friendly companion ~~~

NOTE FROM AUTHOR:

Base AI system is stable.
Advanced Reinforcement Learning RNN is experimental and currently not fully tuned or playtested.


🧬Introduction

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.


⚙️Core Mechanics

  • Orbital Deployment: Deploy agents via Beacon-activated drop pods.
  • Agent Classes: Distinct roles: defense, assault, and support, each with unique abilities.
  • Survival Systems: Agents require resources to stay operational.
  • Combat AI
    • Standard: Priority-based behavior
    • Advanced: Experimental adaptive neural system (in development)
    • Loadout-Driven Combat: Equipment defines each agent’s role and effectiveness.

🧪Special features:

  • 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


📡 Support & Documentation

Discord is now live. Please join to get support


📜 License & Distribution

  • Private/Modpack Use: Encouraged on CurseForge or Modrinth.
  • Restrictions: DO NOT rehost, repost, or claim the mod as your own. Credit is encouraged but not required

Legacy

Previously developed as Aegis Ops (v1.x).
Core features are rebuilt and optimized under the new B-R.EACH architecture.

Screenshots

Gallery

  • 2025-06-29_14.01.04.png
    2025-06-29_14.01.04.png 2025-06-29_14.01.04.png
  • 2025-06-29_14.01.53.png
    2025-06-29_14.01.53.png 2025-06-29_14.01.53.png
  • 2026-03-07_18.23.52.png
    2026-03-07_18.23.52.png 2026-03-07_18.23.52.png
  • 2026-03-07_18.23.55.png
    2026-03-07_18.23.55.png 2026-03-07_18.23.55.png
  • 2025-06-29_13.58.50.png
    2025-06-29_13.58.50.png 2025-06-29_13.58.50.png
  • 2025-06-29_13.59.56.png
    2025-06-29_13.59.56.png 2025-06-29_13.59.56.png
  • 2.png
    2.png 2.png
  • 1.png
    1.png 1.png
  • beacon deployment
    beacon deployment
  • agent long range attack
    agent long range attack
  • Brain chip screen
    Brain chip screen Yes. You get to make your own self reinforcement deep neural net inside mc
  • Agent arrive from drop pod
    Agent arrive from drop pod
  • agent inventory screen
    agent inventory screen
  • beacon phase out
    beacon phase out
  • Incoming droppod
    Incoming droppod
  • Agent with a neural interface
    Agent with a neural interface Allow to use deep learning for decision making
  • agent short range attack
    agent short range attack

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~3,000
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Modrinth
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Modrinth
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