para-memory-files

Store and organize knowledge across sessions using a PARA-based layered memory structure.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Trollz1004/Sandbox-REPO-NEW-CODE-NOTHING-NEW-GOES-ON-ANTIGRAVITY --skill para-memory-files-trollz1004
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: para-memory-files
Source: https://github.com/Trollz1004/Sandbox-REPO-NEW-CODE-NOTHING-NEW-GOES-ON-ANTIGRAVITY/tree/main/dao-patches/skills/para-memory-files
Command: npx skills add https://github.com/Trollz1004/Sandbox-REPO-NEW-CODE-NOTHING-NEW-GOES-ON-ANTIGRAVITY --skill para-memory-files-trollz1004

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

File-based memory management using the PARA method to persist, organize, and retrieve knowledge across sessions. All paths are relative to $AGENT_HOME.

Core Features & Use Cases

  • Three-layer PARA memory structure: knowledge graph folders under $AGENT_HOME/life with summary.md and items.yaml, daily notes under $AGENT_HOME/memory/YYYY-MM-DD.md, and tacit knowledge about user patterns.
  • Life-cycle rules: durable facts stored in items.yaml, weekly synthesis, and memory decay guidance for dependable recall.
  • Planning and recall: supports planning files and recall via qmd to surface relevant context across sessions.

Quick Start

Create a new knowledge entity under $AGENT_HOME/life with a summary.md and items.yaml, then add today’s daily note under $AGENT_HOME/memory/YYYY-MM-DD.md to capture the context.

Frequently Asked Questions about para-memory-files

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I organize and recall knowledge across sessions using the PARA method?

To organize and recall knowledge across sessions, the PARA method structures data into a knowledge graph, daily notes, and tacit knowledge. It uses YAML-backed entities and weekly syntheses to support durable long-term recall and planning.

What is the best way to structure daily notes for long-term memory management?

For effective memory management, daily notes should be stored as YYYY-MM-DD.md files under the designated memory directory. This captures daily context and integrates with a broader knowledge graph for later synthesis and retrieval.

How does memory decay and weekly synthesis work in a PARA-based knowledge graph?

Memory decay and weekly synthesis work by enforcing life-cycle rules on stored knowledge. Durable facts are persisted in YAML files, while weekly syntheses consolidate daily notes to maintain dependable recall and context relevance over time.

Can I use qmd for context retrieval with a PARA file-based memory structure?

Yes, qmd integrates with the PARA file-based memory structure for context retrieval. It surfaces relevant stored knowledge, daily notes, and planning files across different sessions to support ongoing synthesis and recall.

Do I need an existing knowledge graph folder before starting with PARA memory files?

You need to create a knowledge entity folder containing a summary.md and an items.yaml file before starting. This establishes the base layer structure required to persist durable facts and apply life-cycle rules.

Why use YAML-backed entities instead of plain markdown for durable facts?

YAML-backed entities are used instead of plain markdown to enforce durable fact storage and structured life-cycle rules. This structured format enables reliable memory decay, weekly syntheses, and dependable long-term recall across sessions.