para-memory-files

Organize persistent knowledge across sessions using a PARA-based file memory system that stores durable facts in a knowledge graph, applies archival and superseding rules, and retrieves past context via qmd-driven search.

The PARA method for daily notes structures knowledge into projects, areas, resources, and archives, storing atomic facts in an items.yaml file with status tracking and weekly synthesis to maintain durable memory.

Store atomic facts in a knowledge graph by creating an entity under life/projects with a summary.md file and adding initial YAML items to items.yaml, enabling status tracking and memory decay for accurate recall.

Yes, a knowledge graph can manage tacit knowledge patterns by applying memory decay and superseding rules to atomic facts, ensuring outdated information is archived while durable patterns remain accessible for recall.

Search past context and plan components in a PARA system using qmd-driven search to quickly retrieve stored durable facts, daily notes, and tacit patterns from the knowledge graph across sessions.

Handle superseding facts and memory decay by tracking atomic fact statuses in items.yaml, archiving outdated information, and synthesizing weekly updates to ensure the knowledge graph reflects current durable truths.