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para-memory-files

Organize and persist user memory across sessions using a PARA-based file system.

Updated Aug 23, 2026
Search Tags:#planning#recall#memory#notes#knowledge-management#para-method
One-click install
npx skills add https://github.com/Kauedz/althius-alg --skill para-memory-files-kauedz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: para-memory-files
Source: https://github.com/Kauedz/althius-alg/tree/main/skills/para-memory-files
Command: npx skills add https://github.com/Kauedz/althius-alg --skill para-memory-files-kauedz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Persistent, organized memory for an individual agent, enabling cross-session continuity, knowledge capture, and planning across projects.

Core Features & Use Cases

  • Three-layer memory architecture: a Knowledge Graph under life/ with summary.md and items.yaml; Daily Notes for raw timeline; Tacit Knowledge for user patterns.
  • Rules for memory lifecycle: never delete facts, supersede when updated, move inactive items to archives, weekly synthesis, and recall via qmd.
  • Use Case: maintain long-running projects, capture conversations, plan weekly syntheses, and recall past context across sessions.

Quick Start

Create the PARA memory folder structure under $AGENT_HOME and begin recording daily notes and entity memory.

Frequently Asked Questions about para-memory-files

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

FAQPage Schema
How do I persist agent memory across sessions using a PARA-based file system?▼

You can persist agent memory across sessions by organizing data into a PARA-based file structure under $AGENT_HOME, using YAML and Markdown schemas for facts and notes, and applying recall workflows to maintain continuity.

What is the best way to organize daily notes and knowledge capture for long-running projects?▼

Organizing daily notes and knowledge capture is best handled through a three-layer architecture: a Knowledge Graph with summary.md and items.yaml, raw Daily Notes for timelines, and Tacit Knowledge for user patterns.

How does the PARA method handle memory lifecycle and recall for weekly synthesis?▼

The PARA method handles memory lifecycle by never deleting facts, superseding updated items, moving inactive entries to archives, and using qmd-powered recall workflows to support weekly synthesis and context rehydration.

Do I need a specific directory structure to use file-based memory management?▼

Yes, file-based memory management requires a defined directory structure relative to $AGENT_HOME to properly store the PARA folders, daily notes, and knowledge graph layers for accurate recall.

Can I use YAML and Markdown schemas to store entity memory and project planning notes?▼

Yes, you can use YAML and Markdown schemas to store entity memory and project planning notes, which enables structured knowledge capture and reliable recall across different agent sessions.

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