PaperClipAI/skills/para-memory-files/SKILL.md

name, description

name	description
para-memory-files	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.

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 Supersede instead (status: superseded, add superseded_by).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.