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Mnemosyne OS

by Mnemosyne-OSversion 2.1.3i★ –iRuns on your computer
Registry nameio.github.Mnemosyne-OS/mcp

Install

Overview

Description from the maker (original English)

Memory the human governs, on their own machine, plus what other coding agents here wrote.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: MNEMO_DEFAULT_VAULT, MNEMO_VAULTS, MNEMO_SDK_PORT

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "mnemosyne-os": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemosyne_os/mcp"
      ],
      "env": {
        "MNEMO_DEFAULT_VAULT": "your-value",
        "MNEMO_VAULTS": "your-value",
        "MNEMO_SDK_PORT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add mnemosyne-os --env MNEMO_DEFAULT_VAULT=your-value --env MNEMO_VAULTS=your-value --env MNEMO_SDK_PORT=your-value -- npx -y @mnemosyne_os/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mnemosyne-os": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemosyne_os/mcp"
      ],
      "env": {
        "MNEMO_DEFAULT_VAULT": "your-value",
        "MNEMO_VAULTS": "your-value",
        "MNEMO_SDK_PORT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "mnemosyne-os": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mnemosyne_os/mcp"
      ],
      "env": {
        "MNEMO_DEFAULT_VAULT": "your-value",
        "MNEMO_VAULTS": "your-value",
        "MNEMO_SDK_PORT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • MNEMO_DEFAULT_VAULT env
    Vault used when a call does not name one. The vaults are the user's own domains of memory (code, notes, journal); nothing outside the granted list is reachable.
  • MNEMO_VAULTS env
    Comma-separated list of vaults this server may reach. Narrow it: a vault left out here cannot be read even by mistake.
  • MNEMO_SDK_PORT env
    Port of the local Mnemosyne OS SDK server the desktop app listens on.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Mnemosyne-OS, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4901 servers in this category
  • Published to the registry more recently than 66% of the other 4901 servers in this category
  • Basic checks equal to or better than 100% of the other 4901 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Mnemosyne OS safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.1.3) reached the registry 21 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

The sovereign AI Operating System

Open to build on · Private at the core

English ·  Français ·  Español ·  Deutsch ·  Português ·  Русский ·  中文

*Everyone is building the intelligence. Mnemosyne OS builds the relationship: the memory that makes an AI truly know you, across sessions and across time. On your machine. Yours to see.*

→ Why the relationship layer

v2.1.0 · The Local Model is out. Irina still works on her harnesses · watch with sound

⭐ Useful to you? A star on this repo helps other people find it.

🔏 Every installer above is cryptographically attested to this exact repo, workflow and commit, via GitHub Artifact Attestations (Sigstore-backed build provenance). Don't take the download on faith: verify the file you got matches what our CI actually built:

gh attestation verify Mnemosyne-OS-Infinity-Setup-x64.exe -R Mnemosyne-OS/Mnemosyne-Neural-OS

🌐 [mnemosyne-os.io](https://mnemosyne-os.io), the product, for builders · [mnemosyne-os.com](https://mnemosyne-os.com), the company, press & labs · 📖 [docs.mnemosyne-os.io](https://docs.mnemosyne-os.io), the user guide


[!IMPORTANT]

🧠 New in 2.1.0 · The Local Model. LFM3, a 1.1 GB model from Liquid AI, is the new

default local model: it runs on your machine, even without a graphics card. A review

widget your coding agent drives over MCP, an improved Notion connector, and the

translations reviewed in four languages.

[→ The release notes](https://github.com/Mnemosyne-OS/Mnemosyne-Neural-OS/releases/tag/v2.1.0-infinity) · Connect your coding agent

[!TIP]

📖 The user documentation is live at [docs.mnemosyne-os.io](https://docs.mnemosyne-os.io), with every engine explained step by step, in

English · Français · Español.

For developers

🔌 Give your coding agent a memorynpx -y @mnemosyne_os/mcp connects Claude Code, Cursor or Claude Desktop to your vaults. Setup guide
🧩 Build an app on the memoryCopy the cartridge boilerplate for an app inside the Mnemosyne window, or run npm create @mnemosyne_os/app for a separate program (a Layer 2 app). Build on Mnemosyne OS
📖 Learn from real cartridgesTheir full source is public. Clone one
🧠 Index your agent's own notesPoint a vault at .claude, .cursor or .aider. Two doors between your IDE and your memory

🌍 Fully multilingual: the OS speaks your language

The entire interface is localized in seven languages: onboarding, settings, chat, the voice assistant, every dialog. Switching language even re-selects the ★ recommended embedding model for it, so retrieval quality follows your language, not just the labels. Open windows pick the change up instantly.

LanguageStatus
EnglishYour memory. Your machine. Your rules.Stable
FrançaisTa mémoire. Ta machine. Tes règles.Stable
EspañolTu memoria. Tu máquina. Tus reglas.Stable
DeutschDein Gedächtnis. Deine Maschine. Deine Regeln.Beta
PortuguêsSua memória. Sua máquina. Suas regras.Beta
РусскийТвоя память. Твоя машина. Твои правила.Beta
中文你的记忆。你的机器。你的规则。Beta

*Sovereign, local-first memory, in your language: un système d'exploitation de mémoire souverain et local · un sistema operativo de memoria soberano y local · ein souveränes, lokales Gedächtnis-Betriebssystem · um sistema operacional de memória soberano e local · суверенная локальная операционная система памяти · 主权的本地优先记忆操作系统.*


Not another agent-memory library

Mem0, Zep and Letta give *agents* a memory layer you wire into a cloud stack.

Mnemosyne OS is the control surface for your memory, your agents and your models, and it runs on your machine. You choose which model may read your memory, and a human governs it. On LongMemEval-M holdout questions, never used to tune the engine, it scores 77.1% in hybrid mode: embeddings and search on your machine, answers from a cloud model, gemini-3.8-flash (audit it yourself).

The AI that remembers *you*, not infrastructure you plug into someone else's.

Where the project lives

Published by XPACEGEMS LLC. These are its official addresses:

Productmnemosyne-os.io
Organizationsmnemosyne-os.com
Documentationdocs.mnemosyne-os.io
Sourcethis repository
Packagesthe npm scope @mnemosyne_os: the list

Why call it an "OS"?

Not because it has a kernel or drivers. Because it does what an OS does: it manages resources on behalf of processes that shouldn't have to manage them themselves. Linux does that for programs (CPU, RAM, disk, network). Mnemosyne OS does the same thing for AI agents, and the resources are just different:

An agent needsMnemosyne OS manages it via
MemoryVaults, SQLite + vector stores, partitioned by domain, with AES-256 encryption at rest you arm
ContextChronicles + semantic retrieval, the agent never rebuilds its past by hand
ComputeRouting across model tiers (budget/standard/premium, local/cloud) by task complexity
HardwareReal GPU/CPU dispatch for local speech (CUDA detection, isolated sidecars) so a heavy model never blocks the app
I/OA signed intent protocol (query / ingest / forget / focus) instead of raw reads and writes
SecurityFGAC, scoped JWTs, Zero-Trust IPC validation
PersistenceCross-session continuity, no cold start on every invocation

This isn't a marketing stretch invented for this repo. MemGPT (Packer et al., UC Berkeley, 2023, arXiv:2310.08560) proposed the same "OS for LLMs" analogy in a peer-reviewed paper, virtual context management modeled on OS memory hierarchies. Mnemosyne OS takes that same premise further: not a single-session context-paging technique, but a system that r

Only the beginning is shown; read the rest in the repo

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