Godot 4-powered simulation with 27,000 procedural planets providing diverse testing environments for AI agents through TCP connections.
Pioneering the future of artificial intelligence through distributed computing, immersive simulation, and evolutionary neural networks. Where Cutting-Edge Meets Reality.
Three interconnected services powering the next generation of AI research
graph TD
OF[OpenFluke AI Platform]
BF[BioFoundry Simulation]
PG[Paragon Framework]
TR[TREE Evolution Engine]
PL[27k Procedural Planets]
TCP[TCP Connections]
AG[AI Agent Control]
WG[WebGPU Acceleration]
TA[Type Agnostic Support]
BR[Cross Platform]
GF[Growth Function]
MN[Micro Networks]
CP[Checkpoint Sampling]
DC[Decentralized Computing]
ED[External Devices]
EX[Experimenters]
OF --> BF
OF --> PG
OF --> TR
BF --> PL
BF --> TCP
BF --> AG
PG --> WG
PG --> TA
PG --> BR
TR --> GF
TR --> MN
TR --> CP
TR --> DC
TR --> PG
AG --> TR
DC --> ED
EX --> BF
MN --> CP
GF --> MN
style OF fill:#ff6b6b,stroke:#333,stroke-width:3px,color:#fff
style BF fill:#4ecdc4,stroke:#333,stroke-width:2px,color:#fff
style PG fill:#4ecdc4,stroke:#333,stroke-width:2px,color:#fff
style TR fill:#4ecdc4,stroke:#333,stroke-width:2px,color:#fff
BioFoundry
Simulation Environment
Godot 4-powered simulation with 27,000 procedural planets providing diverse testing environments for AI agents through TCP connections.
Paragon
AI Framework
Type-agnostic Go framework with WebGPU acceleration, supporting multiple data types and cross-platform deployment.
TREE
Evolution Engine
Distributed training system that evolves neural networks through micro-network extraction and decentralized computing.
High-performance neural network training with WebGPU acceleration
The MNIST example demonstrates the framework's capabilities: