para-memory-files

File organization using the PARA method structures knowledge into Projects, Areas, Resources, and Archives. This Skill automates that organization across knowledge graphs, daily notes, and tacit knowledge layers using YAML parsing and Python scripts.

A memory system handles daily notes by keeping a raw chronological timeline for record-keeping, while tacit knowledge captures user patterns to improve operational understanding. This Skill manages both alongside a structured knowledge graph.

Yes, you need Python to run this PARA method file organization system. It relies on Python scripting and YAML parsing to handle storing, retrieving, updating, and organizing knowledge across multiple memory layers.

The best way to store and retrieve facts in a knowledge graph is by organizing entities in folders with YAML facts. You can quickly add facts using commands like 'save fact' for immediate context access and recall.

Yes, a knowledge management system can automate memory decay and weekly synthesis. This Skill handles planning files and synthesizes weekly records, ensuring your knowledge graph remains current without manual cleanup.

File-based knowledge management with YAML parsing requires consistent local file maintenance and depends on Python scripting. It is not a cloud-synced database, meaning memory decay and weekly synthesis rely on scheduled local execution.