A lightweight memory management tool for OpenClaw agents to store and retrieve persistent information across multiple sessions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-memorize
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-memorize 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 Openclaw Memorize?
Openclaw Memorize is a fundamental utility designed to provide AI agents with long-term persistence. By enabling agents to save, retrieve, and search through key-value pairs, it ensures that critical project decisions, user preferences, and technical metrics are never lost when a session ends. This skill acts as a digital ledger, bridging the gap between transient chat contexts and durable knowledge storage.
Built specifically for the ecosystem of Openclaw Skills, this tool provides a streamlined CLI interface for managing data. It allows for a more personalized and efficient developer experience by ensuring that your AI assistant remains context-aware of previous interactions and high-level architectural choices.
Openclaw Memorize Use Cases
- Project decisions: Documenting why a specific library or architectural pattern was chosen to maintain consistency.
- User preferences: Storing developer-specific settings like preferred IDEs, code styles, or model configurations.
- Key metrics: Tracking performance benchmarks, version numbers, or project milestones over time.
- Idea capture: Quickly stashing brainstorming notes or potential features for future development cycles.
- Resource management: Saving frequently used documentation links or API endpoints for instant retrieval.
How Openclaw Memorize Works
- Initialization: The skill creates a persistent storage layer within the workspace directory upon installation.
- Data Entry: The agent or user executes a save command to store a string value under a unique identifier key.
- Querying: When context is needed, the agent can call the get or search functions to find specific data points or keywords within the memory pool.
- Indexing: The system maintains a list of all stored entries, allowing for comprehensive overviews of everything the agent has 'learned'.
- Maintenance: Users can prune outdated information using the delete command to ensure the memory remains relevant and accurate.
Openclaw Memorize Setup
To add this capability to your agent, use the following installation command:
npx clawhub@latest install openclaw-memorize
Ensure that your environment has access to the ~/.openclaw/skills/ directory for proper execution.
Openclaw Memorize Data Schema & Taxonomy
The skill organizes information using a flat key-value taxonomy stored locally.
| Attribute | Format | Description |
|---|---|---|
| Key | String | A unique identifier used to fetch or delete specific memories. |
| Value | String | The actual data content (facts, preferences, URLs, etc.). |
| Storage Path | Local File | Memories are persisted in the workspace for session-to-session continuity. |
Openclaw Memorize Advanced Features
- Pattern Matching: Utilize the search functionality to find memories based on partial keywords rather than exact keys.
- Full Lifecycle Management: Complete CRUD (Create, Read, Update, Delete) capabilities via the CLI.
- Multi-Session Continuity: Unlike standard context windows, these memories persist indefinitely until manually removed.
- Openclaw Skills Integration: Designed to work seamlessly alongside other skills within the Openclaw ecosystem for automated data logging.
SKILL.md
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