para-memory-files

Organizes knowledge into layered files with a non-deleting, superseding revision system.

Updated Mar 23, 2026
One-click install
npx skills add https://github.com/Lautaro073/zCorvus_agents --skill para-memory-files-lautaro073
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: para-memory-files
Source: https://github.com/Lautaro073/zCorvus_agents/tree/main/AI_Workspace/Agents/Frontend/skills/para-memory-files
Command: npx skills add https://github.com/Lautaro073/zCorvus_agents --skill para-memory-files-lautaro073

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

File-based PARA memory helps you store, retrieve, and organize knowledge across sessions, reducing fragmentation and cognitive load by structuring information into three durable layers.

Core Features & Use Cases

  • Layered memory model: a knowledge graph stored under life/ with two-tier facts (summary.md and items.yaml), daily notes captured in memory/YYYY-MM-DD.md, and tacit knowledge about user patterns for personalized recall.
  • Planning, decay, and weekly synthesis: supports planning files, memory decay rules, and a weekly synthesis that surfaces relevant context for current work.
  • Deterministic retrieval and revision: never deletes facts; you supersede with status and archiving when items become inactive, ensuring replayable history.

Quick Start

Create a new entity under life/ with a summary.md and items.yaml, then log today's memory in memory/YYYY-MM-DD.md and perform a weekly synthesis.

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 persistent knowledge and daily notes across sessions?

To organize knowledge across sessions, use a PARA-based memory system that structures information into a knowledge graph, daily notes, and tacit patterns, reducing fragmentation and cognitive load.

What is the best way to manage a knowledge graph without deleting old facts?

Managing a knowledge graph without deletion requires a superseding and archiving approach, where inactive items are marked with a status and archived, ensuring replayable history and deterministic retrieval.

How does a PARA memory system handle weekly synthesis and planning?

A PARA memory system handles weekly synthesis by applying memory decay rules and surfacing relevant context from daily notes and tacit patterns to support active planning workflows.

Can I store tacit user patterns for personalized knowledge recall?

Yes, you can store tacit user patterns for personalized recall by maintaining a dedicated MEMORY.md file within the three-layer schema to track behavioral preferences across sessions.

How do I structure daily notes and entities for knowledge management?

Structure daily notes as memory/YYYY-MM-DD.md files and create entities under life/ containing a summary.md and items.yaml file to establish a two-tier fact system for knowledge management.

Does this knowledge management approach require external dependencies?

No, this knowledge management approach operates without external dependencies, relying entirely on file-based storage with markdown and YAML files for deterministic retrieval and revision.