para-memory-files

Organize and retrieve user knowledge across sessions using a PARA-inspired file-based memory system.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/VulcanNeuralDev/vn-paperclip --skill para-memory-files-vulcanneuraldev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: para-memory-files
Source: https://github.com/VulcanNeuralDev/vn-paperclip/tree/main/skills/para-memory-files
Command: npx skills add https://github.com/VulcanNeuralDev/vn-paperclip --skill para-memory-files-vulcanneuraldev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

File-based memory system organized by PARA to store, retrieve, and organize knowledge across sessions. It provides three layers: a knowledge graph with atomic YAML facts, daily notes as a raw timeline, and tacit knowledge about user patterns, plus planning files, memory decay rules, and weekly synthesis, all accessible via a consistent $AGENT_HOME file structure.

Core Features & Use Cases

  • Knowledge Graph layer at $AGENT_HOME/life/ with per-entity folders containing summary.md and items.yaml for durable facts.
  • Daily Notes layer in $AGENT_HOME/memory/YYYY-MM-DD.md for raw timeline and context capture.
  • Tacit Knowledge repository in $AGENT_HOME/MEMORY.md to record user patterns and operational lessons.
  • Planning, weekly synthesis, and recall via qmd to surface relevant context across sessions.
  • Use cases include saving durable facts, recalling past context, and planning ongoing work.

Quick Start

Create a new entity under $AGENT_HOME/life with a summary.md and items.yaml, then start saving durable facts to items.yaml and writing daily notes to memory/YYYY-MM-DD.md.

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 PARA-inspired memory system?▼

A PARA-based memory system organizes knowledge across sessions by storing durable facts in a knowledge graph, capturing daily context in timeline notes, and recording tacit patterns in MEMORY.md, with file-based persistence ensuring continuity.

What is the best way to store durable facts and atomic knowledge for later recall?▼

Storing durable facts as atomic YAML items within per-entity folders creates a structured knowledge graph, separating durable facts from raw daily notes to maintain clear, retrievable context for later recall.

Do I need a specific environment setup to maintain daily notes and a knowledge graph?▼

Maintaining daily notes and a knowledge graph requires a file-based environment under a consistent $AGENT_HOME directory, organizing life/ and memory/ folders for file-based persistence without external databases.

How does memory decay and weekly synthesis work in note-taking and knowledge management?▼

Memory decay and weekly synthesis apply rules to manage stored note relevance and periodically aggregate context, surfacing relevant planning files and recall data across sessions to maintain a streamlined knowledge base.

Can I use planning files and qmd to recall past context from a file-based memory system?▼

Planning files and qmd recall past context from a file-based memory system by triggering memory events, retrieving relevant facts from the knowledge graph, and surfacing context across previous sessions.