From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives
Magnet is a multi-agent system that generates long stories by having character agents propose actions based on a shared world state and evolving goals, refined by a critic and narrated by prose writers. Atlas detects plot inconsistencies using graph analysis of scene representations. This framework proves that explicit world-state tracking and goal-driven generation create structurally coherent long narratives.