Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI
Jun 26, 2026 · 39:32
Paul Iusztin and Louis-François Bouchard introduce an AI Research OS that transforms a personal Second Brain (e.g., an Obsidian vault of 5,000+ notes growing by 250 files/month) from a passive archive into a live, queryable memory for AI agents. They argue that bigger context windows aren’t enough; proper memory and context management are needed. The system evolved through three iterations: first a simple deep research loop generating static research Markdown files (used for 35 course lessons), then targeting both the public web and the user’s Second Brain, and finally adding a persistent wiki layer. The architecture uses plain files (Markdown, YAML index) instead of vector databases, with a hierarchy of raw sources, source summaries, and wiki derivatives (concepts, comparisons, entities). The wiki evolves with every question, not just during ingestion. Demos show ingesting Obsidian notes, GitHub repos, and arbitrary links, then querying the wiki to update it dynamically.
