Sparkvibe Io Memorymesh

v4.1.0Knowledge & Memorystable

Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.

io-github-sparkvibe-io-memorymeshmcpai-integration
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What is Sparkvibe Io Memorymesh?

Sparkvibe Io Memorymesh is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to persistent, zero-dependency ai memory using sqlite. local-first, cross-tool portable.

Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.

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

Features

  • Persistent, zero-dependency AI memory using SQLite. Local-fi

Use Cases

Persistent, zero-dependency AI memory using SQLite
Local-first, cross-tool portable
Community

Maintainer

LicenseMIT
Languagepython
Versionv4.1.0
UpdatedFeb 28, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install memorymesh

Manual Installation

pip install memorymesh

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 Sparkvibe Io Memorymesh

What is Sparkvibe Io Memorymesh?

Sparkvibe Io Memorymesh is a Model Context Protocol (MCP) server that persistent, zero-dependency ai memory using sqlite. local-first, cross-tool portable. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Sparkvibe Io Memorymesh?

Install via pip with: pip install memorymesh. Then configure your AI client to connect to this MCP server.

Which AI clients work with Sparkvibe Io Memorymesh?

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

Is Sparkvibe Io Memorymesh free to use?

Yes, Sparkvibe Io Memorymesh is open source and available under the MIT 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": { "io-github-sparkvibe-io-memorymesh": { "command": "pip", "args": ["install", "memorymesh"] } } }

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

Read the full setup guide →

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