para-memory-files
使用PARA方法为AI agent建立三层文件级记忆系统(知识图谱、每日笔记、隐性知识),实现跨会话的上下文持久化和高效语义检索。特别适合需要长期记忆用户偏好、项目细节和个人知识库的AI助手场景。
npx skills add https://github.com/getpaperclipai/paperclip --skill para-memory-filesBefore / After 效果对比
1 组在没有此技能之前,用户每次会话都需要从零开始构建上下文,重复介绍个人信息和项目背景,效率低下且容易遗漏。
此技能为 AI agent 提供持久化文件记忆,跨会话自动加载个人知识库,节省重复交流时间,确保信息一致。
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status: superseded, addsuperseded_by).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.
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