multiAI Summary Pending
memory-cache
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.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/memory-cache/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1999azzar/memory-cache/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/memory-cache/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How memory-cache Compares
| Feature / Agent | memory-cache | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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.