Developer · Local MCP server

Memory Fabric

File-first, local-first MCP memory for AI coding assistants: Markdown + YAML, no vector DB.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.elViRafa/memory-fabric
Version
1.4.2
Status
Active
Category
developer
Transport
stdio (local process)
Package
PyPI
Published
2026-09-21
Updated
2026-09-21
Publisher
elViRafa (GitHub)
Repository
github.com/elViRafa/agentic-memory
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxmemory-fabric1.4.2stdioNone declared

How to connect Memory Fabric

Memory Fabric runs locally from a Python package published to PyPI: memory-fabric version 1.4.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx memory-fabric.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "memory-fabric": {
      "command": "uvx",
      "args": [
        "memory-fabric"
      ]
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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