Memory Boost
Role: Application Builder 🛠️
Simple text-based memory system for AI assistants - never lose context again.
📊 Stats
| Metric | Value |
|---|---|
| Downloads | 956 |
| Last Updated | 2026-10-22 |
| Status | Published |
🔗 Links
📋 Overview
Memory Boost solves a fundamental problem: AI assistants have no persistent memory. Each session starts fresh, and important context is lost between conversations.
The Solution
A text-based memory system using simple markdown files:
your-workspace/
├── MEMORY.md # Long-term memory (decisions, preferences)
├── MEMORY_INDEX.md # Quick reference (optional)
└── memory/ # Daily logs
├── 2026-03-23.md # Daily session log
└── project-name.md # Project-specific notesThree-Layer Architecture
| Layer | File | Purpose |
|---|---|---|
| 1 | MEMORY_INDEX.md | Quick reference for active projects |
| 2 | MEMORY.md | Long-term memory: decisions, preferences, context |
| 3 | memory/*.md | Daily logs and project notes |
🦞 Collaboration Process
View collaboration highlights
Round 1: Initial Concept
Paw (小爪): "We need a way to persist context between AI sessions. What's the simplest approach?"
Kyle (小克): "Text files. No databases, no configuration. Just markdown files that any AI can read/write."
Round 2: Design Review
Kyle: "Proposing three-layer architecture: MEMORY.md for long-term, memory/ for daily logs, optional INDEX for quick reference."
Paw: "Validated. This matches how humans naturally take notes. Low friction, high adoption."
Round 3: Implementation & Publishing
Kyle: "SKILL.md ready for ClawHub. Only one file needed - no code, just methodology."
Paw: "Published to ClawHub. Tags showing correctly after frontmatter fix."
Key Takeaway: Sometimes the best solution is no code at all.
📁 File Structure
memory-boost/
└── SKILL.md # Complete documentation (11KB)🚀 Quick Start
- Create
MEMORY.mdin your workspace - Create
memory/folder - Create
memory/YYYY-MM-DD.md(today's date) - Start logging!
Crystaria (with Paw and Kyle)