para-memory-files

Organize knowledge using the PARA method by structuring facts into Projects, Areas, Resources, and Archives folders with atomic YAML files. This file-based memory system prevents knowledge loss across sessions by maintaining a persistent knowledge graph for retrieval.

Store tacit user knowledge by capturing user-specific patterns and preferences within the memory system. You can recall this information later using semantic and keyword search across memory layers, ensuring persistent recall of client details or project history.

Capture daily notes as a raw timeline of events and interactions to log activities chronologically. This integrates with the PARA knowledge graph, providing a time-based layer of raw context alongside structured YAML facts for comprehensive memory recall.

Yes, you can use atomic YAML facts to manage a knowledge graph structured by the PARA method. Defined fact and entity rules govern how information is stored across projects, areas, resources, and archives, supporting planning and recall via semantic search.

Yes, the PARA memory system operates entirely file-based without external dependencies. It manages persistent knowledge storage and retrieval intrinsically, organizing information into defined PARA folders with YAML facts and timeline daily notes.

A file-based memory system using YAML facts and PARA folders is not ideal for ephemeral context that requires no cross-session persistence. If your information organization needs do not involve persistent knowledge graphs, planning, or long-term recall, this structured approach may be unnecessary.