— name: memory-cache description: High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and session context caching. Use for: (1) Saving agent state, (2) Caching API results, (3) Sharing data between sub-agents. metadata: {"openclaw":{"requires":{"bins":["python3"],"env":["REDIS_URL"]},"install":[{"id":"pip-dependencies","kind":"exec","command":"pip install -r requirements.txt"}]}} — # Memory Cache Standardized Redis-backed caching system for OpenClaw agents. ## Prerequisites – **Binary**: `python3` must be available on the host. – **Credentials**: `REDIS_URL` environment variable (e.g., `redis://localhost:6379/0`). ## Setup 1. Copy `env.example.txt` to `.env`. 2. Configure your connection in `.env`. 3. Dependencies are listed in `requirements.txt`. ## Core Workflows ### 1. Store and Retrieve – **Store**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py set mema:cache:<name> <value> [–ttl 3600]` – **Fetch**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py get mema:cache:<name>` ### 2. Search & Maintenance – **Scan**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py scan [pattern]` – **Ping**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py ping` ## Key Naming Convention Strictly enforce the `mema:` prefix: – `mema:context:*` – Session state. – `mema:cache:*` – Volatile data. – `mema:state:*` – Persistent state.