Enhanced memory search with hybrid vector+keyword scoring, temporal routing, filepath scoring, adaptive weighting, pseudo-relevance feedback, salience scoring, and knowledge graph cross-references. Replaces the default memory search with a 4-signal fusion retrieval system. Use when searching memories, indexing memory files, building cross-references, or scoring memory salience. Requires Ollama with nomic-embed-text model.
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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 enhanced-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install enhanced-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/enhanced-memory/π‘Extract and place the folder at the path above, then restart your agent.
Category
Data & AnalyticsWhat Enhanced Memory can do for your AI workflow
Enhanced memory search 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 Enhanced Memory
Help me get started with Enhanced Memory
Explains what Enhanced Memory does, walks through the setup, and runs a quick demo based on your current project
Use Enhanced Memory to enhanced memory search with hybrid vector+keyword scoring, temporal...
Invokes Enhanced Memory with the right parameters and returns the result directly in the conversation
What can I do with Enhanced Memory in my data & analytics workflow?
Lists the top use cases for Enhanced Memory, with example commands for each scenario
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Enhanced Memory extends your AI assistant with the ability to enhanced memory search with hybrid vector+keyword scoring, temporal routing, filepath scoring, adaptive weighting, pseudo-relevance feedback, salience scoring, and knowledge graph cross-references. Replaces the default memory search with a 4-signal fusion retrieval system. Use when searching memories, indexing memory files, building cross-references, or scoring memory salience. Requires Ollama with nomic-embed-text model. 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 Enhanced Memory as its underlying capability.
Enhanced 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 Enhanced 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 Enhanced Memory, copy the skill folder to `~/.claude/skills/enhanced-memory/` for use across all your projects, or `.claude/skills/enhanced-memory/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/enhanced-memory` or just describe your goal and the AI will pick it up automatically.
Enhanced Memory has 942 installs and is part of the growing Data & Analytics 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/enhanced-memory/ for personal use (all projects), or .claude/skills/enhanced-memory/ for project-specific use. Restart your AI client, then invoke with /enhanced-memory or let the AI discover it automatically.
Enhanced Memory supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Enhanced Memory is free to install. Check the repository for licensing information.
Enhanced memory search with hybrid vector+keyword scoring, temporal routing, filepath scoring, adaptive weighting, pseudo-relevance feedback, salience scoring, and knowledge graph cross-references. Replaces the default memory search with a 4-signal fusion retrieval system. Use when searching memories, indexing memory files, building cross-references, or scoring memory salience. Requires Ollama with nomic-embed-text model.
Automate my data & analytics tasks using Enhanced Memory
Identifies repetitive steps in your workflow and sets up Enhanced Memory to handle them automatically
Enhanced Memory is categorized under Data & Analytics. 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.