A high-performance, ultra-lightweight SQLite database management skill designed for efficient local data persistence in AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lite-sqlite
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install lite-sqlite using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Lite SQLite provides a robust and efficient way to handle local data storage without the overhead of a full database server. Designed specifically for Openclaw Skills, it offers a file-based system that is portable, ACID-compliant, and incredibly fast, making it ideal for managing agent state and long-term memory.
This skill focuses on minimal resource consumption, typically using only 2-5MB of RAM. It empowers developers to implement reliable data persistence for their agents while maintaining the high-speed performance required for real-time AI interactions using Openclaw Skills. By utilizing a single .db file, it ensures that your agent data remains portable and easy to manage across different environments.
To get started with this database within your Openclaw Skills environment, ensure you have Python installed and the sqlite_connector utility available. You can initialize your database and tables via the provided CLI tool:
# Create a new agent database
python scripts/sqlite_cli.py create agent_data.db
# Initialize a table for agent memos
python scripts/sqlite_cli.py create-table agent_memos -c id:INTEGER:P -c title:TEXT -c content:TEXT
# Optimize the database for performance
python scripts/sqlite_cli.py optimize agent_data.db
The skill facilitates structured data organization through optimized schemas designed for Openclaw Skills. Common patterns include:
| Table | Key Fields | Purpose |
|---|---|---|
| agent_memos | agent_id, key, value, priority | Long-term memory storage |
| session_logs | session_id, agent, message, metadata | Interaction history and logging |
| cache | key, value, expires_at | Temporary TTL-based storage for API responses |
All tables support automatic indexing on frequently queried columns (like agent_id or expires_at) to maintain sub-millisecond lookup speeds.
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