MemoryBox is a zero-dependency CLI tool designed to maintain a lean 3-tier hierarchical memory structure for Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-memorybox
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-memorybox using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MemoryBox?
MemoryBox addresses the common issue of context window bloat in AI agents by implementing a rigorous file-based memory organization system. As a specialized utility for Openclaw Skills, it ensures that your main memory file remains under 10KB, which drastically improves agent response times and reduces token costs.
By categorizing data into active, on-demand, and archival tiers, MemoryBox allows developers to keep their agents focused on relevant facts while preserving historical data. It operates as a standalone CLI, making it one of the most lightweight and effective Openclaw Skills for long-term project maintenance.
MemoryBox Use Cases
- Prevent MEMORY.md from becoming too large for the agent to process efficiently.
- Automatically organize domain-specific knowledge into searchable sub-files.
- Clean up duplicate and stale information to maintain data integrity.
- Archive old session logs that are older than 14 days to save context space.
- Generate diagnostic reports to see how much context pressure is being reduced.
How MemoryBox Works
- Run the doctor command to identify bloat and structural issues in your current workspace.
- Use the split command to move large blocks of text from the main memory into specific domain files.
- Execute the dedupe and stale commands to find and remove redundant or irrelevant information.
- Apply the Memory Protocol to your agent configuration so it understands how to search the new hierarchy.
- Periodically run the health and archive commands to keep the workspace optimized.
MemoryBox Setup
git clone https://github.com/Ramsbaby/openclaw-memorybox.git
cd openclaw-memorybox && chmod +x bin/memorybox
sudo ln -sf "$(pwd)/bin/memorybox" /usr/local/bin/memorybox
memorybox init ~/openclaw
MemoryBox Data Schema & Taxonomy
MemoryBox organizes your workspace into three distinct layers to optimize Openclaw Skills performance:
| Tier | Storage Path | Retention Policy |
|---|---|---|
| Tier 1 | MEMORY.md | Core facts, kept under 10KB, loaded every session. |
| Tier 2 | memory/domains/*.md | Domain-specific references, loaded only when searched. |
| Tier 3 | memory/archive/ | Historical daily logs, moved after 14+ days. |
MemoryBox Advanced Features
- Interactive splitting tools for precision memory migration.
- Automated health scoring system (0-100) to track memory quality.
- Production-tested token savings of up to 83% for MEMORY.md files.
- Section-by-section size breakdown for granular analysis.
- Zero-dependency architecture that works alongside Mem0, Supermemory, and QMD.
SKILL.md
Loading
Related Openclaw Skills
Skill Optimizer
An automated diagnostic tool that analyzes AI conversation logs to evaluate performance and generate data-driven optimizations for agent skills.
WeChat Moments Copywriting Guide
A conversational AI guide designed to help users rediscover their authentic voice and write personalized WeChat Moments posts through guided reflection.
WeChat Moments Assistant (Pangyu)
A personalized AI copywriting assistant that learns your unique voice to create authentic WeChat Moments posts.
Blockbuster Course Consultant (Dapianke)
A professional course design consultant that implements the Blockbuster Course methodology to guide users through the entire curriculum development lifecycle.
OpenClaw Self-Healing System
An autonomous 4-tier recovery system that monitors gateway health and uses AI to diagnose and repair persistent failures.
Self-Evolving Agent
A meta-analytical automation tool that observes AI agent performance and suggests optimized instruction updates based on semantic log patterns and real-time monitoring.
Featured*
