para-memory-files

Organize personal knowledge using the PARA method by structuring data into a three-layer memory system with a knowledge graph, daily notes, and tacit knowledge to maintain persistent project contexts across sessions.

A file-backed memory system stores structured personal knowledge using relative paths and YAML schemas, enabling rapid recall and weekly synthesis for durable facts management across different working sessions.

Store durable facts by adding structured items to the appropriate YAML files within the knowledge graph layer, then use qmd tooling guidance to perform rapid recall and retrieve the specific information later.

Daily notes and tacit knowledge can be used for weekly synthesis and planning by leveraging qmd tooling to aggregate ongoing duties and reference topics, enabling rapid context retention and task planning.

The PARA-based memory management system requires no external dependencies, relying entirely on relative paths to keep data portable and consistent for long-running projects and reference topics.

The best way to manage tacit knowledge and reference topics across sessions is using a three-layer PARA structure with explicit YAML schemas, enabling synthesis and rapid recall without losing ongoing project contexts.