para-memory-files

You can restore cross-session context using a file-based memory system that organizes daily notes and tacit knowledge. It prevents information scatter by placing facts into a durable structure, ensuring you recall knowledge without losing project history.

The PARA method organizes knowledge into a structured knowledge graph under a life directory, containing summary files and structured YAML schemas for atomic facts. It enforces non-deletion of facts with superseding updates, ensuring your personal knowledge base remains durable and accurate.

The best way to organize daily notes and plans is using a three-layer memory model: daily notes stored by date, tacit knowledge in a memory file, and long-term plans in a dedicated directory. This structure supports decay-aware synthesis and cross-session context restoration.

Yes, you can recall specific information using qmd queries against your saved knowledge graph. This allows you to retrieve stored facts and daily notes efficiently, enabling durable recall across your personal knowledge management workflow.

Yes, file-based memory enforces non-deletion of facts by using superseding updates. When information changes, the system updates the structured YAML schemas with new data while preserving the original atomic facts, preventing memory loss.

Decay-aware synthesis is needed during weekly syntheses to manage long-term project planning and personal knowledge. It helps process accumulated daily notes and tacit knowledge, ensuring your knowledge graph remains relevant without being overwhelmed by outdated information.