Memory for AI MCP Server

by lonelytraderbay Your server? Claim it

local only

Memory for AI runs on your own machine — the client starts it, so there is no endpoint to ping. 64 installs a week from npm.

Local codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 40 · avg 12 · -60% w/w

a month agotoday

Installs / week

pypi · memory-for-ai

—

Stars

on GitHub

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Last commit

from GitHub

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License

language unknown

What the code does

We have not read this server's code yet, 18 d ago · rules ccca72095570

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] src/memory_for_ai/__init__.py:1, [пакет] src/memory_for_ai/__main__.py:1, [пакет] src/memory_for_ai/_cli.py:1

этот файл ставится пользователю, но в репозитории его нет

Runs an external command [пакет] src/memory_for_ai/_cli.py:140

        subprocess.run(

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add memory-for-ai -- uvx memory-for-ai

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

[mcp_servers.memory-for-ai]
command = "uvx"
args = ["memory-for-ai"]

.cursor/mcp.json

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

.vscode/mcp.json

{
  "servers": {
    "memory-for-ai": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "memory-for-ai"
      ]
    }
  }
}

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Memory for AI — questions

Answers built from our own checks of this server.

Why is there no uptime for Memory for AI?

Memory for AI runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package memory-for-ai was installed 64 times last week.

Is Memory for AI still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect Memory for AI?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls memory-for-ai straight from pypi; nothing to host, nothing to sign up for.

How many people use Memory for AI?

The pypi package memory-for-ai was installed 64 times in the last week. Week over week that is -60%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.