A comprehensive long-term memory management system that provides AI assistants with human-like cognitive memory layers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install memoria-system
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 memoria-system 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 Memoria System?
Memoria System is an advanced memory framework designed to enhance the contextual awareness and long-term recall of AI assistants. By implementing a structured cognitive architecture, it allows agents to store and retrieve information across semantic, episodic, procedural, and working memory layers.
This Openclaw Skills entry ensures that your AI interactions are no longer stateless, enabling a more personalized and continuous user experience through persistent knowledge storage, structured indexing, and automated maintenance scripts.
Memoria System Use Cases
- Building AI agents that remember personal facts and historical user interactions over months or years.
- Developing sophisticated workflows that require procedural memory of previously acquired skills.
- Maintaining active context across long-running sessions via managed working memory files.
- Creating a searchable knowledge base for AI-driven research and data synthesis using structured indexing.
How Memoria System Works
- Initialize the memory structure using the migration tool to create the hierarchical directory system and base configuration.
- Categorize incoming information into semantic facts, episodic events, or procedural skills based on the content type.
- Access working memory files to maintain active session context during live agent interactions for immediate relevance.
- Utilize the indexing system for fast lookup of historical data using tags and chronological timelines.
- Run automated maintenance tasks like incremental backups and health checks to ensure data integrity and persistence.
Memoria System Setup
To install this skill, execute the following command in your terminal:
openclaw skill install memoria-system
After installation, initialize the memory structure and configure the maintenance schedule:
# Initialize the memory directories
./memory-migrate.sh init
# Set up a cron job for daily maintenance
0 2 * * * cd /path/to/memoria-system && ./memory-backup.sh
Memoria System Data Schema & Taxonomy
The system organizes data into five core directories to simulate human cognitive functions. This Openclaw Skills implementation uses the following structure:
| Layer | Directory | Contents |
|---|---|---|
| Semantic | semantic/ |
Factual knowledge, personal facts, and general concepts. |
| Episodic | episodic/ |
Daily logs (YYYY-MM-DD.md) and specific event documentation. |
| Procedural | procedural/ |
Acquired skills, workflow definitions, and automation scripts. |
| Working | working/ |
Active context, session-specific data, and pending items. |
| Index | index/ |
Tag-based indexes and chronological timelines in JSON format. |
Memoria System Advanced Features
- Incremental backup system with configurable retention days and dry-run capabilities.
- Automated health check tool with an optional --fix flag to repair corrupted memory structures.
- Versioned migration support for upgrading memory schemas as the AI agent evolves.
- Tag-based indexing and timeline generation for high-speed search and retrieval.
- Native integration with the Openclaw Skills ecosystem for seamless agent deployment.
SKILL.md
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