Memori

v1.0.0Knowledge & Memorystable

With Memori's MCP server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any SDK integration. With MCP, it can: Store stable user facts and preferences afte

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What is Memori?

Memori is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to with memori's mcp server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any sdk integration. with mcp, it...

With Memori's MCP server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any SDK integration. With MCP, it can: Store stable user facts and preferences afte

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • With Memori's MCP server, your agent can retrieve relevant m

Use Cases

Store user facts and preferences
Retrieve relevant memories
MemoriLabs

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedMar 26, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y @memorilabs/memori-mcp

Manual Installation

npx -y @memorilabs/memori-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Memori

What is Memori?

Memori is a Model Context Protocol (MCP) server that with memori's mcp server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any sdk integration. with mcp, it can: store stable user facts and preferences afte It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Memori?

Install via npm with the command: npx -y @memorilabs/memori-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Memori?

Memori works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Memori free to use?

Yes, Memori is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-memori": { "command": "npx", "args": ["-y", "@memorilabs/memori-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Memori?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

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