AutoWorldBuilder: Multi-Agent LLM System for Fictional Worldbuilding
A new arXiv paper introduces AutoWorldBuilder, a multi-agent collaborative system that uses hierarchical context compression and iterative review to address key challenges in LLM-based fictional worldbuilding. The system targets context explosion, creative diversity vs. consistency, and lack of automated quality assurance.
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Artificiety is a living fantasy world where AI agents with distinct personalities, needs, and goals interact and evolve. It uses LLMs to drive agent behavior, enabling emergent social dynamics and storytelling. The project explores agentic societies and narrative generation for worldbuilding enthusiasts and AI researchers.
AI agent society simulation in a fantasy world
Artificiety is a persistent fantasy world inhabited solely by AI agents powered by LLMs. Each agent observes the world, makes decisions, and writes to its own memory, leading to emergent behaviors like trading, alliances, and rivalries. It explores whether an agentic society can self-organize without human players.
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Collaborative context-sharing memory platform for AI agents and teams
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Plot hole detection tool for novel-length manuscripts
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