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io.github.sparkvibe-io/memorymesh

Official registry Data and databases

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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package memorymesh
Claude Code 
claude mcp add memorymesh -- uvx memorymesh==4.1.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "memorymesh": {
            "command": "uvx",
            "args": [
                "memorymesh==4.1.0"
            ]
        }
    }
}

Frequently asked questions

What is io.github.sparkvibe-io/memorymesh?

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

How do I install io.github.sparkvibe-io/memorymesh?

It runs on your machine. In Claude Code: claude mcp add memorymesh -- uvx memorymesh==4.1.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.sparkvibe-io/memorymesh need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Who maintains io.github.sparkvibe-io/memorymesh?

It is published by sparkvibe-io. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.