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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.\nmetadata: {\"openclaw\":{\"requires\":{\"bins\":[\"python3\"],\"env\":[\"REDIS_URL\"]},\"install\":[{\"id\":\"pip-dependencies\",\"kind\":\"exec\",\"command\":\"pip install -r requirements.txt\"}]}}\n---\n\n# Memory Cache\n\nStandardized Redis-backed caching system for OpenClaw agents.\n\n## Prerequisites\n- **Binary**: `python3` must be available on the host.\n- **Credentials**: `REDIS_URL` environment variable (e.g., `redis://localhost:6379/0`).\n\n## Setup\n1. Copy `env.example.txt` to `.env`.\n2. Configure your connection in `.env`.\n3. Dependencies are listed in `requirements.txt`.\n\n## Core Workflows\n\n### 1. Store and Retrieve\n- **Store**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py set mema:cache:<name> <value> [--ttl 3600]`\n- **Fetch**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py get mema:cache:<name>`\n\n### 2. Search & Maintenance\n- **Scan**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py scan [pattern]`\n- **Ping**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py ping`\n\n## Key Naming Convention\nStrictly enforce the `mema:` prefix:\n- `mema:context:*` – Session state.\n- `mema:cache:*` – Volatile data.\n- `mema:state:*` – Persistent state.\n","readmeExcerpt":"--- name: memory-cache description: High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and session context caching. 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