dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
three dimensional memory
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install amlyx/three-dimensional-memoryExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Three-Dimensional Memory System for AI Assistants — 人类思维方式的文件记忆管理
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:
This skill creates a three-dimensional memory space for AI assistants and their users.
memory/
├── 2026-02-21.md ← What happened today
├── 2026-02-22.md ← What happened today
└── 2026-02-23.md ← What happened today
Purpose: Daily work logs, chronological record of events
Update frequency: Daily
Content: Tasks completed, decisions made, meetings held
AI-memory-backup/
├── backup-20260221.md ← Complete conversation transcript
├── backup-20260222.md ← Complete conversation transcript
└── backup-20260223.md ← 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/
├── project-product-launch/
│ ├── proposal-v1.md
│ ├── proposal-v2.md
│ └── final-version.md
│
├── decision-org-restructure/
│ ├── options-considered.md
│ ├── final-decision.md
│ └── implementation-plan.md
│
└── knowledge-market-analysis/
├── competitor-research.md
└── 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/
│
├── memory/ ← Dim...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Find any file in 10 seconds. Guaranteed.
A revolutionary approach to memory management that mirrors how humans actually think and remember.
Traditional file systems:
📁 Documents/
📄 report.pdf
📄 presentation.pptx
📁 Images/
🖼️ screenshot.png
📁 Other/
❓ Where did I save that important thing?
You: "Where's that pricing strategy we discussed last week?"
Traditional: [5 minutes of searching...] "Found it in Documents/Projects/2026/Q1/Pricing/Final/"
Three-Dimensional Memory:
memory/ ← WHEN
2026-02-21.md "Product strategy meeting"
2026-02-22.md "Drafted pricing proposal"
2026-02-23.md "Finalized three-tier model"
AI-memory-backup/ ← WHAT WAS SAID
backup-20260221.md "Let's consider three tiers..."
backup-20260222.md "$29 might signal cheap..."
backup-20260223.md "Final decision: $39, $99, $299"
topic-memory/ ← WHAT IT'S ABOUT
project-product-launch/
pricing-strategy.md
timeline.md
key-decisions.md
You: "Where's that pricing strategy?"
3D Memory: "You mean the one from Wednesday's meeting? It's in topic-memory/project-product-launch/pricing-strategy.md"
Time to find: 10 seconds ⏱️
clawhub install three-dimensional-memory
# Initialize the structure
memory-init
# Create today's log
memory-daily "Shipped v2.0, fixed 3 critical bugs"
# Start a new project
memory-project "Q3-Roadmap" --status "planning"
# Search all dimensions
memory-search "pricing"
"现在的机构找文件很好找,用的很顺手"
— Early adopter, 2026
Humans remember when things happened.
Your AI writes a daily work log:
Humans remember what was said.
Complete conversation tran...
# three-dimensional-memory
**Three-Dimensional Memory System for AI Assistants** — 人类思维方式的文件记忆管理
A memory management system that mirrors human cognition: organized by time, conversation, and topics.
---
## 🎯 Why This Skill?
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.
---
## 🧠 The Three Dimensions
### Dimension 1: Timeline Memory
```
memory/
├── 2026-02-21.md ← What happened today
├── 2026-02-22.md ← What happened today
└── 2026-02-23.md ← What happened today
```
**Purpose**: Daily work logs, chronological record of events
**Update frequency**: Daily
**Content**: Tasks completed, decisions made, meetings held
---
### Dimension 2: Conversation Stream
```
AI-memory-backup/
├── backup-20260221.md ← Complete conversation transcript
├── backup-20260222.md ← Complete conversation transcript
└── backup-20260223.md ← Complete conversation transcript
```
**Purpose**: Full context preservation, searchable dialogue history
**Update frequency**: Per conversation
**Content**: Every word exchanged, including user messages and AI responses
---
### Dimension 3: Topic Network
```
topic-memory/
├── project-product-launch/
│ ├── proposal-v1.md
│ ├── proposal-v2.md
│ └── final-version.md
│
├── decision-org-restructure/
│ ├── options-considered.md
│ ├── final-decision.md
│ └── implementation-plan.md
│
└── knowledge-market-analysis/
├── competitor-research.md
└── trend-report.md
```
**Purpose**: Project-centric information aggregation
**Update frequency**: As projects evolve
**Content**: All documents, decisions, and knowledge related to a specific topic
---
## 📁 Recommended File Structure
```
workspace/
│
├── memory/ ← Dim...# Three-Dimensional Memory System
> **Find any file in 10 seconds. Guaranteed.**
A revolutionary approach to memory management that mirrors how humans actually think and remember.
## The Problem
```
Traditional file systems:
📁 Documents/
📄 report.pdf
📄 presentation.pptx
📁 Images/
🖼️ screenshot.png
📁 Other/
❓ Where did I save that important thing?
```
**You**: "Where's that pricing strategy we discussed last week?"
**Traditional**: [5 minutes of searching...] "Found it in Documents/Projects/2026/Q1/Pricing/Final/"
## The Solution
```
Three-Dimensional Memory:
memory/ ← WHEN
2026-02-21.md "Product strategy meeting"
2026-02-22.md "Drafted pricing proposal"
2026-02-23.md "Finalized three-tier model"
AI-memory-backup/ ← WHAT WAS SAID
backup-20260221.md "Let's consider three tiers..."
backup-20260222.md "$29 might signal cheap..."
backup-20260223.md "Final decision: $39, $99, $299"
topic-memory/ ← WHAT IT'S ABOUT
project-product-launch/
pricing-strategy.md
timeline.md
key-decisions.md
```
**You**: "Where's that pricing strategy?"
**3D Memory**: "You mean the one from Wednesday's meeting? It's in `topic-memory/project-product-launch/pricing-strategy.md`"
**Time to find**: 10 seconds ⏱️
## Installation
```bash
clawhub install three-dimensional-memory
```
## Quick Start
```bash
# Initialize the structure
memory-init
# Create today's log
memory-daily "Shipped v2.0, fixed 3 critical bugs"
# Start a new project
memory-project "Q3-Roadmap" --status "planning"
# Search all dimensions
memory-search "pricing"
```
## Real User Testimonials
> "现在的机构找文件很好找,用的很顺手"
> — Early adopter, 2026
## How It Works
### Dimension 1: Timeline
Humans remember **when** things happened.
Your AI writes a daily work log:
- What was done
- Decisions made
- Meetings held
### Dimension 2: Conversation
Humans remember **what was said**.
Complete conversation tran...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance
A股分析技能
A2A4B2B Skill for OpenClaw