Para Memory Files

A file-based memory system that implements Tiago Forte's PARA method across three layers: a knowledge graph with atomic YAML facts in Projects/Areas/Resources/Archives folders, daily notes as a raw timeline, and tacit knowledge about user patterns. It's designed for agents that need to remember things across sessions without relying on context windows. The standout feature is the entity system with summary.md for quick loads and items.yaml for detailed facts, plus built-in memory decay and weekly synthesis. Uses qmd for semantic recall instead of grep. If you're building agents that need durable memory and you don't want to roll your own storage layer, this gives you a thoughtful structure out of the box.

skills.sh installs: 1.8K
GitHub stars: 112.7K
last updated: Aug 21, 2026

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Install

$ npx -y skills add paperclipai/paperclip --skill para-memory-files --agent claude-code

Installs into .claude/skills of the current project.

Files

PARA Memory Files

Persistent, file-based memory organized by Tiago Forte's PARA method. Three layers: a knowledge graph, daily notes, and tacit knowledge. All paths are relative to $AGENT_HOME.

Three Memory Layers

Layer 1: Knowledge Graph (`$AGENT_HOME/life/` -- PARA)

Entity-based storage. Each entity gets a folder with two tiers:

summary.md -- quick context, load first.
items.yaml -- atomic facts, load on demand.

$AGENT_HOME/life/
  projects/          # Active work with clear goals/deadlines
    <name>/
      summary.md
      items.yaml
  areas/             # Ongoing responsibilities, no end date
    people/<name>/
    companies/<name>/
  resources/         # Reference material, topics of interest
    <topic>/
  archives/          # Inactive items from the other three
  index.md

PARA rules:

Projects -- active work with a goal or deadline. Move to archives when complete.
Areas -- ongoing (people, companies, responsibilities). No end date.
Resources -- reference material, topics of interest.
Archives -- inactive items from any category.

Fact rules:

SKILL.md on GitHub