Agent System · Python
Enigma
Deterministic causal simulation engine: agents, world state, perception, memory, beliefs, decisions and narrative arising from their disagreement. Scientific research project — executable epistemic contracts for NPC simulation.
What it is
ENIGMA is a deterministic causal simulation engine for NPC/agent behavior built around a 12-layer canonical architecture (authoring, identity, perception, attention, belief, decision, deception, etc.) enforced by 18 runtime architectural laws, with a FastAPI backend, extensive YAML architecture-as-code, and a pytest suite. It models agents whose memory and belief diverge from world truth, with LLM explicitly excluded from canonical truth.
- agent-based-modeling
- causal-simulation
- deterministic-simulation
- epistemic-logic
- game-ai
- llm-engineering
- narrative-ai
- npc-ai
- procedural-narrative
- pygame
Where it counts
- AI Agents90%
- MLOps20%
- NLP & LLMs15%
- Machine Learning10%
- Data Science5%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
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