Memory architecture patterns for persistent agents
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install agent-memory-patternsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install agent-memory-patternsβ 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/agent-memory-patterns/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Agent Memory Patterns can do for your AI workflow
Memory architecture patterns directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,833+ 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 Agent Memory Patterns
Help me get started with Agent Memory Patterns
Explains what Agent Memory Patterns does, walks through the setup, and runs a quick demo based on your current project
Use Agent Memory Patterns to memory architecture patterns for persistent agents
Invokes Agent Memory Patterns with the right parameters and returns the result directly in the conversation
What can I do with Agent Memory Patterns in my documents & notes workflow?
Lists the top use cases for Agent Memory Patterns, with example commands for each scenario
Guides & tutorials for AI skills
Agent Memory Patterns extends your AI assistant with the ability to memory architecture patterns for persistent agents. 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 Agent Memory Patterns as its underlying capability.
Agent Memory Patterns 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 Agent Memory Patterns 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 Agent Memory Patterns, copy the skill folder to `~/.claude/skills/agent-memory-patterns/` for use across all your projects, or `.claude/skills/agent-memory-patterns/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/agent-memory-patterns` or just describe your goal and the AI will pick it up automatically.
Agent Memory Patterns has been installed 1,833 times, making it one of the more actively used skills in the Documents & Notes 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/agent-memory-patterns/ for personal use (all projects), or .claude/skills/agent-memory-patterns/ for project-specific use. Restart your AI client, then invoke with /agent-memory-patterns or let the AI discover it automatically.
Agent Memory Patterns supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Agent Memory Patterns is free to install. Check the repository for licensing information.
Memory architecture patterns for persistent agents
Links
Automate my documents & notes tasks using Agent Memory Patterns
Identifies repetitive steps in your workflow and sets up Agent Memory Patterns to handle them automatically
MCP vs traditional plugins: what's the difference?
Agent Memory Patterns is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.