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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

MAGNEMO

作者:magnemo-ai版本 0.6.11i★ 4i在你的电脑上运行
注册名称ai.magnemo/magnemo

安装方法

概览

作者提供的说明(英文原文)

Persistent Memory for AI Agents, in plain local files. No network calls of its own.

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: 文档、表格与办公
  • 你需要填写:MAGNEMO_VAULT

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要 MAGNEMO 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 注册并创建 MAGNEMO 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 MAGNEMO 网站 ↗

  3. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  4. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "magnemo": {
          "command": "uvx",
          "args": [
            "magnemo-mcp"
          ],
          "env": {
            "MAGNEMO_VAULT": "your-value",
            "MAGNEMO_AGENT": "your-value"
          }
        }
      }
    }

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 退出 Claude 再重新打开

  6. 试一试

    用 MAGNEMO 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 MAGNEMO,或回答中出现 MAGNEMO 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 MAGNEMO

MAGNEMO 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 MAGNEMO 的应用

  • 需要 MAGNEMO 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要 MAGNEMO 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要 MAGNEMO 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要 MAGNEMO 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)

B · 文档、表格与办公 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要 MAGNEMO 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 注册并创建 MAGNEMO 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 MAGNEMO 网站 ↗

  3. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  4. 粘贴这条命令并按 Enter

    claude mcp add magnemo --env MAGNEMO_VAULT=your-value --env MAGNEMO_AGENT=your-value -- uvx magnemo-mcp

    按 Enter 前,把“your-value”改成你的密钥

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 Claude Code 中输入 /mcp

    应能看到 MAGNEMO 在列表中并显示已连接

  6. 试一试

    用 MAGNEMO 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 MAGNEMO,或回答中出现 MAGNEMO 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要 MAGNEMO 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 注册并创建 MAGNEMO 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 MAGNEMO 网站 ↗

  3. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  4. 填写你的密钥

    在 MAGNEMO 的设置中,MAGNEMO_VAULT, MAGNEMO_AGENT 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 Cursor 中以 Agent 模式打开 AI 聊天

  6. 试一试

    用 MAGNEMO 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 MAGNEMO,或回答中出现 MAGNEMO 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要 MAGNEMO 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 注册并创建 MAGNEMO 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 MAGNEMO 网站 ↗

  3. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  4. 填写你的密钥

    在 MAGNEMO 的设置中,MAGNEMO_VAULT, MAGNEMO_AGENT 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 VS Code 中以 Agent 模式打开 AI 聊天

  6. 试一试

    用 MAGNEMO 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 MAGNEMO,或回答中出现 MAGNEMO 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 MAGNEMO 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add magnemo --env MAGNEMO_VAULT=your-value --env MAGNEMO_AGENT=your-value -- uvx magnemo-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "magnemo": {
      "command": "uvx",
      "args": [
        "magnemo-mcp"
      ],
      "env": {
        "MAGNEMO_VAULT": "your-value",
        "MAGNEMO_AGENT": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "magnemo": {
      "command": "uvx",
      "args": [
        "magnemo-mcp"
      ],
      "env": {
        "MAGNEMO_VAULT": "your-value",
        "MAGNEMO_AGENT": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "magnemo": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "magnemo-mcp"
      ],
      "env": {
        "MAGNEMO_VAULT": "your-value",
        "MAGNEMO_AGENT": "your-value"
      }
    }
  }
}

需要你填写的值

  • MAGNEMO_VAULT 必填 env
    Absolute path to the vault folder (create one with: magnemo init ./vault). Plain markdown files you own.
  • MAGNEMO_AGENT env
    The name this agent signs its entries with. Default: agent.

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。

一览

每周下载量i
253/周
已验证域名
✓ magnemo.ai
许可证i
Apache-2.0
连接方式
在你的电脑上运行
最新版本i
0.6.11
发布到注册中心i
2026年10月29日
代码最后更新i
2026年11月9日
作者
magnemo-ai
软件包
pypi: magnemo-mcp
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

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11日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 magnemo.ai 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于前天

  • ✓ 通过

    有许可证

    使用 Apache-2.0

  • – 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

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

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用 Google 登录后写评价

与“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 3750 个服务器的 90%
  • 发布到注册中心的时间比此分类中其他 3750 个服务器的 69% 更新
  • 基础检查结果等于或优于此分类中其他 3750 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

MAGNEMO 安全吗?

它在 3 项适用的基础检查中通过了 3 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?

你需要填写:MAGNEMO_VAULT

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 仓库最后更新于前天,最新版本(0.6.11)于13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 Python (uv)。

有什么可以替代它?

同一分类中有:Puter MCP, XcodeBuildMCP, XcodeBuildMCP

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:↓ 每周下载量i★ 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

Puter MCP

Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more

作者:HeyPuter广泛使用★ 4.4万5个月前更新

在云端运行✓ puter.com

XcodeBuildMCP

XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

作者:getsentry广泛使用↓ 13万/周★ 65624个月前更新

在你的电脑上运行✓ xcodebuildmcp.com

XcodeBuildMCP

XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

作者:cameroncooke广泛使用↓ 13万/周★ 656214个月前更新

在你的电脑上运行

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 Memory MCP. Your AI remembers. You keep what matters.

MAGNEMO is Memory for your AI, kept on your computer in plain files. Your AI writes down what it learns as it works; nothing becomes Memory until you approve it, and every Memory shows who wrote it and who approved it.

Your agent writes one line down and keeps working. Say keep, and it is Memory.

Site · Manual · Changelog · X @Magnemo_AI · Known limits

Install in one paste

In three lines:

pip install MAGNEMO      # Python 3.11 or newer

magnemo init # makes the vault: a folder of plain files magnemo mount # writes .mcp.json, the file Claude Code reads, and the first line in CLAUDE.md

Or let your agent do it. Open Claude Code in any of your project folders, and paste this. (Its magnemo mount step writes .mcp.json, the file Claude Code reads, and a short block in CLAUDE.md that tells every new session where this project's Memory is. In Cursor, Windsurf or another client, use the block for your client under "Install in your client".)

Set up MAGNEMO in this project:
  1. Install it: pip install MAGNEMO. It needs Python 3.11 or newer. If pip can't find it, install uv (curl -LsSf https://astral.sh/uv/install.sh | sh) and then run: uv tool install MAGNEMO
  2. Initialize the vault: magnemo init
  3. Register the MCP server: run magnemo mount — it adds MAGNEMO to this project's MCP config and keeps any servers already there.
  4. Verify: run magnemo doctor and confirm everything passes.
  5. Then ask me to restart you, so MAGNEMO's tools load, and to say this when you are back: "Look around this folder, tell me what this project is for, and stage that as the first note." Your agent never waits on you. When you want something kept, say keep.

If anything fails, show me what went wrong and fix it if you can.

Plant the seed: one paste, and your agent grows a Memory.

After the restart, say it: Look around this folder, tell me what this project is for, and stage that as the first note. Your agent writes one line down and keeps working. Say keep, and it is Memory. Then ask what it remembers.

Works with

One server, the same in every client. Tested where it says so; the rest follow each client's own docs.

ClientTestedHow
Claude Codeyes: Oct 26–28, 2026, Claude Code 2.1.309. Seven tools; the yes in the chat; pending reads a body.magnemo mount, or claude mcp add magnemo -e MAGNEMO_VAULT=/absolute/path/to/vault -- uvx magnemo-mcp
Claude Desktopuntested end to endthe uvx block under "Install in your client", with absolute paths
Cursoruntestedthe Add to Cursor link below, or .cursor/mcp.json
VS Codeuntested.vscode/mcp.json
Windsurfuntested~/.codeium/windsurf/mcp_config.json
Clineuntestedcline_mcp_settings.json
Continueuntested~/.continue/config.yaml
Gemini CLIuntested~/.gemini/settings.json
Codex CLIuntested~/.codex/config.toml
Zeduntestedsettings.json → context_servers

Each client's exact block is under "Install in your client".

How it compares

Five questions, answered from each project's own docs (read Oct 12, 2026, checked again Oct 22; the pages are linked under the table).

MAGNEMOMem0ZepLettaBasic Memory
Where the memory livesPlain markdown files in a folder on your computerA hosted platform run by Mem0; open source: a local Qdrant store and a SQLite history fileZep: a managed cloud service, or in your own VPC. Graphiti, its open-source engine: a graph database you runMarkdown files in a git repository that belongs to the agent: hosted by Letta, or on your device in local modeMarkdown files on your disk with a local SQLite index; an optional cloud
Who approves a writeYou. An agent's write waits in staging until your yesAn LLM extracts facts from the messages and stores them; their docs describe no approval stepMessages are ingested into the graph as they arrive; their docs describe no approval stepThe agent updates its own memory; the background review "does not ask you for approval"The assistant writes notes directly; the cloud has suggested edits that can be accepted or rejected
Author and approver on every entryBoth, in each file's header (author, reviewed_by) and in an append-only ledgerUser, agent, app and run ids, timestamps, and a change history per memory; their docs name no approver fieldWhen a fact was true and when it stopped, traced to its source episode; their docs name no approver fieldEvery memory edit is a git commit; their docs do not say what the commit recordsTitle, type, tags and dates; author is a field you may add; their docs name no approver field
Network calls of its ownNone. No model call and no embedding call; git push to a backup, if you add oneOpenAI by default for the model and the embeddings; other providers are listed, Ollama among themZep is a cloud API. Graphiti defaults to OpenAI; local model servers are documentedLocal mode keeps state on your device; inference goes to the provider you choose, which can be a local oneRuns locally; the default embeddings run on your machine with no API key
What you can take backA no is kept with its reason; a replaced note is archived with a forward link; nothing deletes; the files are yours to editDelete, update, and a history per memory; export is on the hosted platformDelete nodes, edges and episodes; a replaced fact is invalidated, not deletedThe git history of every memory edit; the files can be read and editedPlain files you edit and can track with git; a delete tool; the cloud keeps every saved version

Where each of them is ahead. Mem0 extracts memories for you, searches them by meaning, and has Python and JavaScript SDKs, a REST API and a hosted platform. Zep keeps a knowledge graph that knows when each fact was true, as a managed service with SDKs in three languages. Letta is a whole agent platform, with an SDK, a CLI and background agents that tend the memory. Basic Memory searches by keyword and by meaning with embeddings that run on your machine, links notes into a graph, and syncs through its cloud. MAGNEMO has none of that: its search is keyword search (KNOWN_LIMITS.md), there is no graph and no hosted service. What it has is the approval and the record.

Their pages: Mem0 overview, platform and open source, add, history, quickstart, delete, export · Zep concepts, facts, security, deleting data, Graphiti · Letta MemFS, memory settings, local mode · Basic Memory README, what it is, tools, note format, semantic search, suggestions, file history. A cell that is wrong or out of date: open an issue and it is fixed.

Listed on the official MCP registry (ai.magnemo/magnemo) · PyPI · mcpservers.org · Glama · awesome-mcp-servers. Tested on every push, on Python 3.9, 3.11 and 3.12: 370 tests, as of Oct 28, 2026 (the runs).

What's new

  • 0.6.11 · Oct 28, 2026 · magnemo mount writes the first line in CLAUDE.md, so every new session knows where this project's Memory is. pending reads a note nobody has kept yet.
  • 0.6.10 · Oct 26, 2026 · Your agent never stops to ask. Say keep in the chat, and the record says how the yes was given.
  • 0.6.9 · Oct 22, 2026 · A seat's report files itself as a receipt and asks nothing; a yes is for Memory. Sentinel reads a seat's quote as a quote.

Every release: CHANGELOG.md.

For builders. MAGNEMO is an MCP server with four verbs — retrieve, stage, bootpack, handoff — plus keep, drop, pending, and a CLI for your side: review, promote, reject. It runs on your machine, in plain markdown files you own. The package imports no network module (magnemo doctor scans for one on every run); the only traffic is git push to a backup destination, if you add one. Every promotion is recorded with who wrote the entry, the name given for the yes, when, and through which gate. Trust is computed from that record, never asserted. It mounts beside any memory you already run (a folder of notes, Obsidian, a RAG stack). Python 3.11+, zero dependencies, Apache-2.0.

Fresh vault? THE CHARTER section will say it isn't promoted yet — that is the governance speaking: MAGNEMO never fabricates canon. Stage a charter, review it, promote it, and every boot thereafter serves it back verbatim. (magnemo not found after install? pip's script folder isn't on PATH — python3 -m magnemo always works.)

Open beta — read [KNOWN_LIMITS.md](KNOWN_LIMITS.md) before trusting it with anything you can't lose. Honest caveats, no fine print.

Install in your client

One server, said ten ways. Every block below is the same thing: uvx magnemo-mcp with MAGNEMO_VAULT pointing at the folder your Memory lives in (make one with magnemo init ./vault). Tested on this Mac where it says so; the rest is from each client's own docs and marked untested — corrections welcome, open an issue.

Claude Code — tested: a Claude Code session mounts the server, lists the seven tools and calls them; a yes in the chat keeps a note, and pending reads a body (last run Oct 28, 2026: Claude Code 2.1.309, the 0.6.11 server).

claude mcp add magnemo -e MAGNEMO_VAULT=/absolute/path/to/vault -- uvx magnemo-mcp

(`claude mcp lis

只显示了开头部分;其余内容请在仓库中阅读