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para-memory-files

Organize knowledge into PARA-based memory files with three-layer structure.

Updated Sep 1, 2021
Search Tags:#planning#recall#memory#knowledge-graph#memory-management#daily-notes#para
One-click install
npx skills add https://github.com/unclehowell/unclehowell --skill para-memory-files-unclehowell
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: para-memory-files
Source: https://github.com/unclehowell/unclehowell/tree/main/skills/para-memory-files
Command: npx skills add https://github.com/unclehowell/unclehowell --skill para-memory-files-unclehowell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

File-based PARA memory provides a structured, durable, and searchable way to store knowledge across sessions. It eliminates scattered notes and manual curation gaps by organizing information into a knowledge graph, daily notes, and tacit patterns, enabling fast recall and coherent planning.

Core Features & Use Cases

  • Three-layer memory: knowledge graph with per-entity summary.md and items.yaml, daily notes as a raw timeline, and tacit knowledge about user patterns.
  • Lifecycle rules: save durable facts to items.yaml, weekly synthesis to refresh summary.md, and supersede outdated data without deletion.
  • Planning and recall: plan with timestamped notes in memory/plans and recall past context via qmd or semantic search.

Quick Start

Organize memory with PARA by initializing the life/ areas/ resources structure under $AGENT_HOME and start saving durable facts to items.yaml for long-term recall, then perform weekly synthesis to refresh summaries.

Frequently Asked Questions about para-memory-files

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I organize knowledge across sessions using a structured memory system?▼

Organize knowledge across sessions using a PARA-based memory system that structures information into a knowledge graph, daily notes, and tacit patterns for durable recall and coherent planning.

What is the best way to store and retrieve durable facts for long-term recall?▼

Store durable facts in items.yaml files within a per-entity knowledge graph structure, then retrieve past context via search tooling or semantic search to enable fast recall.

How does the PARA method structure daily notes and tacit knowledge?▼

The PARA method structures memory into three layers: a knowledge graph with summary.md and items.yaml per entity, daily notes as a raw timeline, and tacit knowledge about user patterns.

Can I supersede outdated data in my knowledge graph without deleting it?▼

Yes, you can supersede outdated data without deletion by applying lifecycle rules that save durable facts to items.yaml and perform weekly synthesis to refresh summary.md files.

Do I need any specific dependencies to implement file-based PARA memory management?▼

No specific dependencies are required to implement file-based PARA memory management; you simply initialize the life/, areas/, and resources/ directory structure under your agent home environment.

When should I perform weekly synthesis on my memory files?▼

Perform weekly synthesis on your memory files to refresh summary.md files, consolidate raw daily notes, and maintain coherent planning context across sessions.

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