Memory Literary Analysis

Turns a novel, play, or long-form text into a structured knowledge graph using Basic Memory's note system. You define schemas for characters, themes, chapters, locations, symbols, and literary devices, then seed major entities before processing the work chapter by chapter. The pipeline includes cross-referencing (arcs, parallels, character webs), validation (schema drift, consistency checks), and visualization via canvas files. Best for close reading projects, teaching resources, or book club companions where you want searchable, interconnected analysis rather than linear notes. The source shows a six-phase workflow and warns this will stress-test Basic Memory at scale, around 200+ notes and 1000+ relations for a full novel.