Three-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX knowledge graph) for long-term agent recall across sessions. One-command setup w...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install persistent-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install persistent-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/persistent-memory/π‘Extract and place the folder at the path above, then restart your agent.
Category
π£Marketing & GrowthPlatforms
What Persistent Memory can do for your AI workflow
Three-layer persistent memory directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,071+ 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 Persistent Memory
Help me get started with Persistent Memory
Explains what Persistent Memory does, walks through the setup, and runs a quick demo based on your current project
Use Persistent Memory to three-layer persistent memory system (Markdown + ChromaDB vectors +...
Invokes Persistent Memory with the right parameters and returns the result directly in the conversation
What can I do with Persistent Memory in my marketing & growth workflow?
Lists the top use cases for Persistent Memory, with example commands for each scenario
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Persistent Memory extends your AI assistant with the ability to three-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX knowledge graph) for long-term agent recall across sessions. One-command setup w... 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 Persistent Memory as its underlying capability.
Persistent 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 Persistent 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.
Persistent Memory installs like any other MCP skill: drop the folder into `~/.claude/skills/persistent-memory/` for global access, or `.claude/skills/persistent-memory/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/persistent-memory`, or let the AI decide when it's the right tool for your request.
Persistent Memory has been installed 1,071 times, making it one of the more actively used skills in the Marketing & Growth category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/persistent-memory/ for personal use (all projects), or .claude/skills/persistent-memory/ for project-specific use. Restart your AI client, then invoke with /persistent-memory or let the AI discover it automatically.
Persistent Memory supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Persistent Memory is free to install. Check the repository for licensing information.
Three-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX knowledge graph) for long-term agent recall across sessions. One-command setup w...
Automate my marketing & growth tasks using Persistent Memory
Identifies repetitive steps in your workflow and sets up Persistent Memory to handle them automatically
Persistent Memory is categorized under Marketing & Growth. 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.