B-R.EACH Protocol
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Deploy elite soldiers to survive a hostile world. Tactical combat, customizable agents, and drop pod deployment.
Focuses on automation and resource processing through scientific and mechanical means, utilizing systems like electricity (RF/FE/etc), air pressure, or rotation.
Includes a large focus on traversing worlds with enhanced world generation, structures, dungeons, and more for players to find unique loot.
Forge is a popular mod loader for versions 1.1+ of Minecraft.
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Must be installed on both the client and the server.
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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
- Bugs/Crashes: If it breaks, please post it in GitHub Issues.
- Discord: Join for dev builds and real-time help.
- Documentation: TMP: WIKI https://drive.google.com/drive/folders/1yt4bNuJr0az5eAPraK9P_ZWpoUI5TmvH?usp=drive_link (Work in progress). The old Wiki is DEPRECATED—do not trust it for Version 2 onward.
- Development: We are slowly migrating all legacy features into the new Version 2.0 framework as they are optimized.
📜 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
- Bugs/Crashes: If it breaks, please post it in GitHub Issues.
- Discord: Join for dev builds and real-time help.
- Documentation: TMP: WIKI https://drive.google.com/drive/folders/1yt4bNuJr0az5eAPraK9P_ZWpoUI5TmvH?usp=drive_link (Work in progress). The old Wiki is DEPRECATED—do not trust it for Version 2 onward.
- Development: We are slowly migrating all legacy features into the new Version 2.0 framework as they are optimized.
📜 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.
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