High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and JSON serialization for session context and API...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install memory-cacheOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install memory-cacheβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/memory-cache/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Memory Cache can do for your AI workflow
High-performance temporary directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,180+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Memory Cache
Help me get started with Memory Cache
Explains what Memory Cache does, walks through the setup, and runs a quick demo based on your current project
Use Memory Cache to high-performance temporary storage system using Redis
Invokes Memory Cache with the right parameters and returns the result directly in the conversation
What can I do with Memory Cache in my developer & devops workflow?
Lists the top use cases for Memory Cache, with example commands for each scenario
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Memory Cache extends your AI assistant with the ability to high-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and JSON serialization for session context and API... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Memory Cache as its underlying capability.
Memory Cache works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Memory Cache once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Memory Cache, copy the skill folder to `~/.claude/skills/memory-cache/` for use across all your projects, or `.claude/skills/memory-cache/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/memory-cache` or just describe your goal and the AI will pick it up automatically.
Memory Cache has been installed 2,180 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/memory-cache/ for personal use (all projects), or .claude/skills/memory-cache/ for project-specific use. Restart your AI client, then invoke with /memory-cache or let the AI discover it automatically.
Memory Cache supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Memory Cache is free to install. Check the repository for licensing information.
High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and JSON serialization for session context and API...
Links
Automate my developer & devops tasks using Memory Cache
Identifies repetitive steps in your workflow and sets up Memory Cache to handle them automatically
Memory Cache is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.