para-memory-files

To persist knowledge management notes across sessions, you can use a structured file-based memory system that saves durable facts to items.yaml, ensuring important information survives beyond individual conversations without deletion.

The PARA method organizes knowledge into projects, areas, resources, and archives. It structures a knowledge graph, daily notes, and tacit knowledge with rules for summaries, decay, and recall across sessions.

You can recall archived knowledge using qmd queries by indexing stored facts and summaries across your PARA memory layers, enabling semantic search across projects, areas, resources, and archives for precise retrieval.

Yes, you can retrieve historical notes without deletion because the memory system preserves a complete historical record by rewriting summaries weekly while never deleting the original durable facts.

Yes, persistent memory works with markdown and yaml files by structuring daily notes as memory/YYYY-MM-DD.md, storing tacit knowledge in MEMORY.md, and saving durable facts to items.yaml.

The best way to structure tacit knowledge for long-term recall is using a MEMORY.md file combined with a knowledge graph, applying weekly synthesis and decay rules to manage information relevance over time.