Mnemosyne OS

Name: Mnemosyne OS
Author: Mnemosyne-OS

作者：Mnemosyne-OS版本 2.1.3i★ –i在你的电脑上运行

注册名称io.github.Mnemosyne-OS/mcp

安装

概览

作者提供的说明（英文原文）

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 开发者工具

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： MNEMO_DEFAULT_VAULT, MNEMO_VAULTS, MNEMO_SDK_PORT

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 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"
      }
    }
  }
}

在终端中运行这条命令

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

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.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"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "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"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

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.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 Mnemosyne-OS 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

星标数多于此分类中其他 4906 个服务器的 0%
发布到注册中心的时间比此分类中其他 4906 个服务器的 65% 更新
基础检查结果等于或优于此分类中其他 4906 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Mnemosyne OS 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（2.1.3）于21天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它？

同一分类中有：GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者：github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新

安装

Desktop Commander

作者：wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新

安装

Cloudflare MCP

作者：cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

The sovereign AI Operating System

Open to build on · Private at the core

English&ensp;·&ensp; Français&ensp;·&ensp; Español&ensp;·&ensp; Deutsch&ensp;·&ensp; Português&ensp;·&ensp; Русский&ensp;·&ensp; 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&ensp;·&ensp;[mnemosyne-os.com](https://mnemosyne-os.com), the company, press & labs&ensp;·&ensp;📖 [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 memory	`npx -y @mnemosyne_os/mcp` connects Claude Code, Cursor or Claude Desktop to your vaults. Setup guide
🧩 Build an app on the memory	Copy 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 cartridges	Their full source is public. Clone one
🧠 Index your agent's own notes	Point 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.

Language		Status
English	Your memory. Your machine. Your rules.	Stable
Français	Ta mémoire. Ta machine. Tes règles.	Stable
Español	Tu memoria. Tu máquina. Tus reglas.	Stable
Deutsch	Dein Gedächtnis. Deine Maschine. Deine Regeln.	Beta
Português	Sua memória. Sua máquina. Suas regras.	Beta
Русский	Твоя 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:


Product	mnemosyne-os.io
Organizations	mnemosyne-os.com
Documentation	docs.mnemosyne-os.io
Source	this repository
Packages	the 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 needs	Mnemosyne OS manages it via
Memory	Vaults, SQLite + vector stores, partitioned by domain, with AES-256 encryption at rest you arm
Context	Chronicles + semantic retrieval, the agent never rebuilds its past by hand
Compute	Routing across model tiers (budget/standard/premium, local/cloud) by task complexity
Hardware	Real GPU/CPU dispatch for local speech (CUDA detection, isolated sidecars) so a heavy model never blocks the app
I/O	A signed intent protocol (query / ingest / forget / focus) instead of raw reads and writes
Security	FGAC, scoped JWTs, Zero-Trust IPC validation
Persistence	Cross-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

只显示了开头部分；其余内容请在仓库中阅读