The hierarchical memory management system based on the L0/L1/L2 three-layer structure significantly reduces Token consumption. L0 saves 99% Tokens (summary layer), L1 saves 88% (overview layer), and L2 is the complete content. Supports automatic generation of hierarchical files, intelligent on-demand loading, and prevention of repeated writing. Suitable for scenarios where large memory files need to be managed efficiently.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install layered-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install layered-memoryβ 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/layered-memory/π‘Extract and place the folder at the path above, then restart your agent.
Category
Documents & NotesWhat Layered Memory can do for your AI workflow
Hierarchical memory management directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Layered Memory
Help me get started with Layered Memory
Explains what Layered Memory does, walks through the setup, and runs a quick demo based on your current project
Use Layered Memory to the hierarchical memory management system based on the L0/L1/L2 thr...
Invokes Layered Memory with the right parameters and returns the result directly in the conversation
What can I do with Layered Memory in my documents & notes workflow?
Lists the top use cases for Layered Memory, with example commands for each scenario
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Layered Memory extends your AI assistant with the ability to the hierarchical memory management system based on the L0/L1/L2 three-layer structure significantly reduces Token consumption. L0 saves 99% Tokens (summary layer), L1 saves 88% (overview layer), and L2 is the complete content. Supports automatic generation of hierarchical files, intelligent on-demand loading, and prevention of repeated writing. Suitable for scenarios where large memory files need to be managed efficiently. 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 Layered Memory as its underlying capability.
Layered Memory 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 Layered Memory 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.
Layered Memory installs like any other MCP skill: drop the folder into `~/.claude/skills/layered-memory/` for global access, or `.claude/skills/layered-memory/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/layered-memory`, or let the AI decide when it's the right tool for your request.
Layered Memory has 297 installs and is part of the growing Documents & Notes skill ecosystem on DiscoverAISkills. 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/layered-memory/ for personal use (all projects), or .claude/skills/layered-memory/ for project-specific use. Restart your AI client, then invoke with /layered-memory or let the AI discover it automatically.
Layered Memory supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Layered Memory is free to install. Check the repository for licensing information.
The hierarchical memory management system based on the L0/L1/L2 three-layer structure significantly reduces Token consumption. L0 saves 99% Tokens (summary layer), L1 saves 88% (overview layer), and L2 is the complete content. Supports automatic generation of hierarchical files, intelligent on-demand loading, and prevention of repeated writing. Suitable for scenarios where large memory files need to be managed efficiently.
Automate my documents & notes tasks using Layered Memory
Identifies repetitive steps in your workflow and sets up Layered Memory to handle them automatically
Layered Memory is categorized under Documents & Notes. 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.