Complete Guide to Obsidian Properties: Structuring 20,000+ Notes for AI Agents
dSebastien · x · 2026-08-09
Drawing from a personal Obsidian vault of over 20,000 notes across 48 types, the author details how to build a robust data structure using Properties.
The article emphasizes that properties transform notes into queryable, filterable, and computable data. Key takeaways include:
- Types matter: Pick the correct data type (e.g., Date vs. Text) from day one to ensure future sortability.
- Add on demand: Only create properties when a specific query, view, or automation requires it to prevent metadata sprawl.
- Automate everything: Use plugins like Templater to auto-fill properties upon note creation and Linter to maintain structure.
The author explains that dashboards, Kanban boards, and comprehensive task management systems are essentially just views built on top of a clean property schema. This structured data also serves as the foundation for integrating AI agents.
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