para-memory-files

A PARA-based storage system organizes personal knowledge by persisting, retrieving, and synthesizing information across sessions. It structures data into projects, areas, resources, and daily notes, enabling consistent recall and weekly planning synthesis.

Memory decay and recall use qmd for semantic search and retrieval across knowledge layers. The system applies non-destructive rules where facts are never deleted but superseded, ensuring lifecycle management and accurate past context retrieval.

Structure daily notes and entity-based knowledge graphs by creating entities with a summary.md and items.yaml file. This establishes three memory layers: knowledge graphs, daily notes timelines, and tacit knowledge for user patterns.

File-based memory supports weekly synthesis and planning by maintaining daily notes timelines and planning files. It allows you to recall past context and synthesize information across projects and areas without data fragmentation.

The PARA method in this memory system uses non-destructive rules, meaning it never deletes facts. Instead, it supersedes old information and applies lifecycle management to maintain accurate but historically complete knowledge recall.