Build cheap, truthful long-term memory for agents with a layered architecture instead of a memory blob. Design, explain, audit, or improve a system that sepa...
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install layered-memory-architectureOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install layered-memory-architectureβ 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-architecture/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Layered Memory Architecture can do for your AI workflow
Cheap, truthful long-term 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 Architecture
Help me get started with Layered Memory Architecture
Explains what Layered Memory Architecture does, walks through the setup, and runs a quick demo based on your current project
Use Layered Memory Architecture to build cheap, truthful long-term memory for agents with a layered ar...
Invokes Layered Memory Architecture with the right parameters and returns the result directly in the conversation
What can I do with Layered Memory Architecture in my documents & notes workflow?
Lists the top use cases for Layered Memory Architecture, with example commands for each scenario
Guides & tutorials for AI skills
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
MCP Skills vs Native Claude Tools: What's the Difference and When to Use Each
Claude comes with built-in capabilities, but MCP skills extend it in ways the base model can't. Here's a clear breakdown of what each type of tool is good for, with real examples of when to reach for a skill versus relying on Claude's native abilities.
Layered Memory Architecture extends your AI assistant with the ability to build cheap, truthful long-term memory for agents with a layered architecture instead of a memory blob. Design, explain, audit, or improve a system that sepa... 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 Architecture as its underlying capability.
Layered Memory Architecture 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 Architecture 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 Layered Memory Architecture, copy the skill folder to `~/.claude/skills/layered-memory-architecture/` for use across all your projects, or `.claude/skills/layered-memory-architecture/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/layered-memory-architecture` or just describe your goal and the AI will pick it up automatically.
Layered Memory Architecture has 151 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-architecture/ for personal use (all projects), or .claude/skills/layered-memory-architecture/ for project-specific use. Restart your AI client, then invoke with /layered-memory-architecture or let the AI discover it automatically.
Layered Memory Architecture supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Layered Memory Architecture is free to install. Check the repository for licensing information.
Build cheap, truthful long-term memory for agents with a layered architecture instead of a memory blob. Design, explain, audit, or improve a system that sepa...
Automate my documents & notes tasks using Layered Memory Architecture
Identifies repetitive steps in your workflow and sets up Layered Memory Architecture to handle them automatically
Layered Memory Architecture 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.