StoryAssembler: a dynamic choice-based narrative generation engine

A Framework for Narrative Agents

Incremental story sifting DSL

Simple story sifting and social simulation engine

[AIIDE 2025] Official code for "CoDi: A Director-Actor Framework for Goal-Driven Interactive Story Generation with LLMs"

Partial reconstruction of Versu's Praxis language

we are all love blaseball

A multi-agent dynasty simulator inspired by Game of Thrones and Shōgun. Designed for emergent narrative storytelling research.

Novel LLM narrative generation framework — structured story creation using cognitive inversion & deep-thinking models

Data for a research paper about narrative generation in NaNoGenMo 2018

🌍 Advanced hierarchical world simulation system with SpacetimeDB backend, AI-powered narrative generation, and multi-world support. Models individuals, buildings, and cities through interconnected need systems with economic, political, and natural event simulation.

基于 Claude Code 的故事生成 Agent Runtime，支持梗概确认、剧本/分镜生成与评估回路。 / A Claude Code-based agent runtime for story generation, with synopsis gating, script/storyboard generation, and evaluation loops.

Living Memory Dynamics - A novel framework for narrative-generating episodic memory with creative leaps. Features the Joshua R. Thomas Memory Equation.

An interactive storytelling framework using LLMs to generate dynamic narratives along predefined, graph-based story paths.

A Wikipedia-based narrative tool.

Better gossip for emergent narrative social sims

Maskarama is an innovative god-simulation sandbox game where players wield omnipotent powers to shape the destinies of intricate AI-driven characters. Each character in Maskarama is a living entity with a unique memory graph, influenced by their experiences, perceptions, and interactions within dynamically evolving environments.

Code and data for "Select the Unexpected: A Statistical Heuristic for Story Sifting" (ICIDS 2022)

Turn FHIR Dosage into human readable text in your desired language and much more

This repository contains the supplementary material / appendix to go with the paper “Is Temperature the Creativity for Large Language Models” by Max Peeperkorn, Tom Kouwenhoven, Dan Brown, and Anna Jordanous.