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.