para-memory-files
PARAメソッドを用いてAIエージェントに3層のファイルベース記憶システム(知識グラフ、日次ノート、暗黙知)を構築し、セッションをまたいだコンテキストの永続化と効率的な意味検索を実現します。ユーザーの好み、プロジェクト詳細、個人知識ベースの長期記憶が必要なAIアシスタントに最適です。
npx skills add https://github.com/getpaperclipai/paperclip --skill para-memory-filesBefore / After 効果比較
1 组このスキルがない場合、ユーザーは毎セッションゼロからコンテキストを構築し、個人情報やプロジェクト背景を繰り返し説明する必要があり、非効率で漏れが生じていました。
このスキルはファイルベースの永続記憶を提供し、セッション間で個人知識ベースを自動ロードして、繰り返しのコミュニケーションを削減し、一貫性を確保します。
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:
- Save durable facts immediately to
items.yaml. - Weekly: rewrite
summary.mdfrom active facts. - Never delete facts. Supersede instead (
status: superseded, addsuperseded_by).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.mdor 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.
ユーザーレビュー (0)
レビューを書く
レビューなし
統計データ
ユーザー評価
この Skill を評価