Persistent local transcript-first memory for OpenClaw via a Node adapter and FastAPI engine.
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 smart-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install smart-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/smart-memory/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativePlatforms
What Smart Memory can do for your AI workflow
Persistent local directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 5,864+ 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 Smart Memory
Help me get started with Smart Memory
Explains what Smart Memory does, walks through the setup, and runs a quick demo based on your current project
Use Smart Memory to persistent local transcript-first memory for OpenClaw via a Node ad...
Invokes Smart Memory with the right parameters and returns the result directly in the conversation
What can I do with Smart Memory in my design & creative workflow?
Lists the top use cases for Smart Memory, with example commands for each scenario
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Smart Memory extends your AI assistant with the ability to persistent local transcript-first memory for OpenClaw via a Node adapter and FastAPI engine. 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 Smart Memory as its underlying capability.
Smart 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 Smart 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.
To install Smart Memory, copy the skill folder to `~/.claude/skills/smart-memory/` for use across all your projects, or `.claude/skills/smart-memory/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/smart-memory` or just describe your goal and the AI will pick it up automatically.
Smart Memory has been installed 5,864 times, making it one of the more actively used skills in the Design & Creative 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/smart-memory/ for personal use (all projects), or .claude/skills/smart-memory/ for project-specific use. Restart your AI client, then invoke with /smart-memory or let the AI discover it automatically.
Smart Memory supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Smart Memory is free to install. Check the repository for licensing information.
Persistent local transcript-first memory for OpenClaw via a Node adapter and FastAPI engine.
Links
Automate my design & creative tasks using Smart Memory
Identifies repetitive steps in your workflow and sets up Smart Memory to handle them automatically
Smart Memory is categorized under Design & Creative. 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.