Persistent semantic memory for AI agents β local, fast, free. Use when agent needs to recall past decisions, store new facts/preferences, search conversation history, or maintain context across sessions.
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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 engram-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install engram-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/engram-memory/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Engram can do for your AI workflow
Persistent semantic memory directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,949+ 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 Engram
Help me get started with Engram
Explains what Engram does, walks through the setup, and runs a quick demo based on your current project
Use Engram to persistent semantic memory for AI agents β local, fast, free
Invokes Engram with the right parameters and returns the result directly in the conversation
What can I do with Engram in my documents & notes workflow?
Lists the top use cases for Engram, with example commands for each scenario
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Engram extends your AI assistant with the ability to persistent semantic memory for AI agents β local, fast, free. Use when agent needs to recall past decisions, store new facts/preferences, search conversation history, or maintain context across sessions. 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 Engram as its underlying capability.
Engram 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 Engram 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.
Getting started with Engram takes about two minutes. Place the skill at `~/.claude/skills/engram-memory/` (personal, all projects) or `.claude/skills/engram-memory/` (project-specific), then restart your AI client. From that point, typing `/engram-memory` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Engram has been installed 1,949 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. 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/engram-memory/ for personal use (all projects), or .claude/skills/engram-memory/ for project-specific use. Restart your AI client, then invoke with /engram-memory or let the AI discover it automatically.
Engram supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Engram is free to install. Check the repository for licensing information.
Persistent semantic memory for AI agents β local, fast, free. Use when agent needs to recall past decisions, store new facts/preferences, search conversation history, or maintain context across sessions.
Automate my documents & notes tasks using Engram
Identifies repetitive steps in your workflow and sets up Engram to handle them automatically
Engram 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.