LLM Game Engine Bridges AI And Narrative Games
A new LLM Game Engine framework bridges traditional narrative engines (Ren'Py, Twine) and AI chat interfaces by combining a causal graph and stat system to enforce deterministic story progression. Built in Python 3.11 and using Anthropic's Claude Haiku for the classifier loop, it includes an example 'escape_room' story and JSON-based story formats. The design preserves free-form player input while only matched actions and bounded ±5 stat changes advance the narrative.
Scoring Rationale
Actionable, open-source engine enforcing deterministic progression; moderate novelty combining known causal-graph and stat-gating patterns.
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Sources
- Read OriginalGitHub - AymanJabr/Escape-the-room-AI-stats-gamegithub.com

