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para-memory-files

Lets your agent use a file-based memory system to store and organize knowledge. It's useful for saving facts, daily notes, and recalling information across sessions.

What it does

This system helps the AI remember important information in an organized way, using files on your computer. It separates what you are currently working on, ongoing responsibilities, reference material, and completed items.

When to use it

  • ✓When you want the AI to remember key facts about people, projects, or topics.
  • ✓To save daily notes and what happened.
  • ✓To record how you like things done or what you've learned.

Example of what to ask your AI

“Save this information: client X prefers meetings on Tuesdays.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/paperclipai/paperclip/blob/master/skills/para-memory-files/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/paperclipai/paperclip/blob/master/skills/para-memory-files/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The AI saves information into organized folders (Projects, Areas, Resources, Archives). It uses summary files for quick context and detailed files for specific facts. It also keeps daily notes and learns your patterns.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add paperclipai/paperclip --skill para-memory-files

Or download just the file:

curl -L https://raw.githubusercontent.com/paperclipai/paperclip/master/skills/para-memory-files/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

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:

  1. summary.md -- quick context, load first.
  2. 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:

  • Save durable facts immediately to items.yaml.
  • Weekly: rewrite summary.md from active facts.
  • Never delete facts. Supersede instead (status: superseded, add superseded_by).
  • When an entity goes inactive, move its folder to $AGENT_HOME/life/archives/.

When to create an entity:

  • Mentioned 3+ times, OR
  • Direct relationship to the user (family, coworker, partner, client), OR
  • Significant project or company in the user's life.
  • Otherwise, note it in daily notes.

For the atomic fact YAML schema and memory decay rules, see references/schemas.md.

Layer 2: Daily Notes ($AGENT_HOME/memory/YYYY-MM-DD.md)

Raw timeline of events -- the "when" layer.

  • Write continuously during conversations.
  • Extract durable facts to Layer 1 during heartbeats.

Layer 3: Tacit Knowledge ($AGENT_HOME/MEMORY.md)

How the user operates -- patterns, preferences, lessons learned.

  • Not facts about the world; facts about the user.
  • Update whenever you learn new operating patterns.

Write It Down -- No Mental Notes

Memory does not survive session restarts. Files do.

  • Want to remember something -> WRITE IT TO A FILE.
  • "Remember this" -> update $AGENT_HOME/memory/YYYY-MM-DD.md or the relevant entity file.
  • Learn a lesson -> update AGENTS.md, TOOLS.md, or the relevant skill file.
  • Make a mistake -> document it so future-you does not repeat it.
  • On-disk text files are always better than holding it in temporary context.

Memory Recall -- Use qmd

Use qmd rather than grepping files:

qmd query "what happened at Christmas"   # Semantic search with reranking
qmd search "specific phrase"              # BM25 keyword search
qmd vsearch "conceptual question"         # Pure vector similarity

Index your personal folder: qmd index $AGENT_HOME

Vectors + BM25 + reranking finds things even when the wording differs.

Planning

Keep plans in timestamped files in plans/ at the project root (outside personal memory so other agents can access them). Use qmd to search plans. Plans go stale -- if a newer plan exists, do not confuse yourself with an older version. If you notice staleness, update the file to note what it is supersededBy.

FAQ

What are Projects, Areas, Resources, and Archives?

Projects are tasks with deadlines. Areas are ongoing responsibilities. Resources are reference materials. Archives are old items.

How does the AI remember things?

It saves everything to files on your computer instead of trying to remember it temporarily. It uses a system called 'qmd' to search for information intelligently.

What happens if information changes?

The AI doesn't delete old facts but marks them as 'superseded' and notes which new information replaced them.

Details

Original description by the author

Use a file-based PARA memory system to store, retrieve, and organize durable knowledge across sessions. Trigger on saving facts, daily notes, entity records, weekly synthesis, recall, tacit user patterns, or plan memory.

repo: paperclipai/paperclip

Popularity

GitHub stars
103k
Ranking position
#399
License
MIT
Updated
10/16/2026

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