AI World Simulator Prototype

This repository contains an early packaged prototype for an AI world simulation project.

The project explores how AI agents can operate inside a stateful, relationship-driven environment rather than only responding to isolated prompts.

Project Direction

The intended system includes:

• simulation engine
• relationship graph
• task threads
• AI adjudicator
• evolving world state
• agent behavior and interaction loops

Core Loop

world state
-> agent action
-> adjudication
-> relationship / task update
-> new world state

What This Project Is Meant To Prove

• Complex interaction modeling
• AI agent environment design
• Long-running state management
• Prototype product engineering

Current Repository Status

The current repository is an early packaged prototype. Source files may still need to be extracted and reorganized into a cleaner repository structure.

Planned cleanup:

src/
  simulation/
  agents/
  world/
  ui/
docs/
  architecture.md
  demo-notes.md
examples/
  sample-world.json

Why It Matters

This project is part of a broader exploration of AI systems in complex tasks, alongside physiological signal modeling, AI context agents, and complex rule-system engineering.