redis

What This Skill Does

The Redis skill provides an interface for the OpenClaw agent to interact with Redis in-memory data structures. It functions as a bridge between the agent's natural language capabilities and a Redis database, enabling high-performance data storage, retrieval, and messaging. This skill allows the agent to perform standard key-value operations, manage complex data structures like lists, sets, and hashes, and handle advanced features such as Publish/Subscribe messaging and time-to-live (TTL) cache management. By utilizing this skill, your agent can effectively handle session state, cache external API responses, or act as a message broker between different microservices or tasks.

Installation

To install this skill, use the ClawHub CLI command within your terminal. Before running the install command, ensure your environment is configured with the necessary credentials. Set your Redis connection string as an environment variable: export REDIS_URL="redis://localhost:6379". Once configured, run the following command: clawhub install openclaw/skills/skills/0xterrybit/redis. This will register the skill with your local OpenClaw agent instance.

Use Cases

• Caching: Offload heavy computations or expensive database queries by storing results in Redis with specific TTLs.
• State Management: Maintain user session state or temporary task progress across different agent sessions.
• Pub/Sub Messaging: Orchestrate complex workflows where the agent needs to signal other components when a task is completed.
• Data Organization: Manage temporary queues for background processing or indexed sets for rapid lookup operations.

Example Prompts

1. "Check the current status of user:123 in the Redis cache and if it is expired, refresh it from the main database."
2. "Add a new task ID 'task_99' to the 'pending_queue' list and ensure it expires in 30 minutes."
3. "Show me all keys that match the pattern 'session:*' and tell me how many keys are currently active."

Tips & Limitations

When using the Redis skill, always be mindful of memory usage. Since Redis is an in-memory database, storing large amounts of data can impact system performance; ensure you set appropriate TTLs for transient data. Additionally, avoid performing 'KEYS *' commands on production databases with a massive number of keys, as it can block the Redis server. For scanning large datasets, consider using the SCAN command when possible. Always ensure that your Redis instance is protected by a password or firewall, as the connection string contains sensitive access information.