Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Manages AI assistant memory by organizing files across three dimensions: timeline logs, full conversation backups, and topic-based project folders for easy r...
Manages AI assistant memory by organizing files across three dimensions: timeline logs, full conversation backups, and topic-based project folders for easy r...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Three-Dimensional Memory System for AI Assistants โ ไบบ็ฑปๆ็ปดๆนๅผ็ๆไปถ่ฎฐๅฟ็ฎก็ A memory management system that mirrors human cognition: organized by time, conversation, and topics.
Traditional file management organizes by file type (docs, images, videos). Humans don't think that way. Humans remember: When it happened (time) What was said (conversation) What it was about (topic) This skill creates a three-dimensional memory space for AI assistants and their users.
memory/ โโโ 2026-02-21.md โ What happened today โโโ 2026-02-22.md โ What happened today โโโ 2026-02-23.md โ What happened today Purpose: Daily work logs, chronological record of events Update frequency: Daily Content: Tasks completed, decisions made, meetings held
AI-memory-backup/ โโโ backup-20260221.md โ Complete conversation transcript โโโ backup-20260222.md โ Complete conversation transcript โโโ backup-20260223.md โ Complete conversation transcript Purpose: Full context preservation, searchable dialogue history Update frequency: Per conversation Content: Every word exchanged, including user messages and AI responses
topic-memory/ โโโ project-product-launch/ โ โโโ proposal-v1.md โ โโโ proposal-v2.md โ โโโ final-version.md โ โโโ decision-org-restructure/ โ โโโ options-considered.md โ โโโ final-decision.md โ โโโ implementation-plan.md โ โโโ knowledge-market-analysis/ โโโ competitor-research.md โโโ trend-report.md Purpose: Project-centric information aggregation Update frequency: As projects evolve Content: All documents, decisions, and knowledge related to a specific topic
workspace/ โ โโโ memory/ โ Dimension 1: Timeline โ โโโ 2026-02-21.md โ โโโ 2026-02-22.md โ โโโ 2026-02-23.md โ โโโ AI-memory-backup/ โ Dimension 2: Conversation โ โโโ backup-20260221.md โ โโโ backup-20260222.md โ โโโ backup-20260223.md โ โโโ topic-memory/ โ Dimension 3: Topics โ โโโ project-[name]/ โ โโโ decision-[name]/ โ โโโ system-[name]/ โ โโโ knowledge-[name]/ โ โโโ skills/ โ AI capabilities โ โโโ MEMORY.md โ AI's long-term identity โโโ SOUL.md โ AI's personality โโโ USER.md โ User preferences
Create the three directories in your workspace: mkdir -p memory mkdir -p AI-memory-backup mkdir -p topic-memory
Every day, the AI should: Write to memory/YYYY-MM-DD.md Summary of today's work Decisions made Tasks completed Backup conversation to AI-memory-backup/backup-YYYYMMDD.md Full transcript Important context User preferences learned Update relevant topic-memory/ folders Add new documents to projects Update decision records Consolidate knowledge
Find by time: "What did we do on Monday?" โ Check memory/ Find by context: "What exactly did I say about pricing?" โ Check AI-memory-backup/ Find by topic: "Where's the product launch plan?" โ Check topic-memory/project-product-launch/
Review daily logs weekly - Quick scan of what happened Search conversation backups - Find exact quotes and context Use topic folders - Navigate by project, not by file type Keep MEMORY.md updated - AI's identity and your preferences
Update all three dimensions daily - Don't skip any Be consistent with naming - Use clear, searchable topic names Cross-reference - Link between dimensions when relevant Maintain the index - Keep a master index of active topics
"I can't find a file" โ Check all three dimensions. If it's not in timeline or topic, search conversation backup. "There's duplicate information" โ That's by design! Timeline shows when, topic shows what, conversation shows why. "The AI forgot what we discussed" โ Check AI-memory-backup/. The full context is there.
Traditional file management: "Where did I save that document?" Three-dimensional memory: "We discussed pricing in yesterday's meeting" โ Check memory/2026-02-23.md โ Find reference to topic-memory/project-pricing/ โ Open latest version Result: Find files in 10 seconds instead of 5 minutes.
Author: @openclaw-user Created: 2026-02-23 Version: 1.0.0 License: MIT Tags: memory, organization, productivity, workflow "The best file system is the one you don't have to think about."
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
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