ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified developer tools Safety 4/5

Memory Cache

Skill by 1999azzar

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/1999azzar/memory-cache
Or

What This Skill Does

The Memory Cache skill is a robust, Redis-backed storage layer designed for OpenClaw agents that require high-performance, temporary data persistence. Unlike standard file-based storage, this skill leverages the speed of Redis to handle state management, API response caching, and inter-agent communication. It ensures that agents remain stateless by design while providing a structured way to recall previous context or ephemeral data across different execution cycles. By adhering to the mandated 'mema:' namespace convention, the skill provides a clean, predictable way to organize data into categories like context, cache, and state, ensuring that memory cleanup and management are streamlined.

Installation

To integrate this skill into your environment, use the command: clawhub install openclaw/skills/skills/1999azzar/memory-cache. Ensure your environment has python3 installed and a running Redis instance reachable via your REDIS_URL environment variable. After installation, execute pip install -r requirements.txt within the skill directory to satisfy all dependency requirements.

Use Cases

  • Agent State Persistence: Maintain conversation history or user preferences across disconnected sessions.
  • API Rate Limiting & Optimization: Store frequently requested API results to reduce latency and stay within usage quotas.
  • Sub-Agent Communication: Pass structured data between parallel or sequential agent tasks using synchronized shared memory.
  • Session Management: Handle authentication tokens or temp session data that needs an automatic TTL (Time-To-Live) expiration.

Example Prompts

  1. "Cache the response from the search API in mema:cache:last_search for the next 10 minutes."
  2. "Check if there is an existing session context in mema:context:user_123 and retrieve it to continue our task."
  3. "Run a scan to list all keys under the mema:state:* namespace so I can see which agent tasks are still active."

Tips & Limitations

  • Always set a TTL (Time-To-Live) for your data to prevent memory leaks in your Redis database.
  • Follow the namespace convention strictly; misuse of namespaces can lead to key collisions in multi-agent environments.
  • This skill requires an external dependency (Redis); it is not a standalone storage solution and will fail if the Redis server is unavailable.

Metadata

Author@1999azzar
Stars4473
Views0
Updated2026-05-01
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-1999azzar-memory-cache": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#redis#caching#state-management#backend#performance
Safety Score: 4/5

Flags: network-access, code-execution