原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Marrow

作者:aryawidjaja版本 0.8.0i★ –i在你的电脑上运行
注册名称io.github.aryawidjaja/marrow

安装

概览

作者提供的说明(英文原文)

Shared memory for parallel AI coding agents. Local, free, with rooms and file claims.

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。

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)。
  • 注册中心没有列出需要填写的密钥。

你用的是哪个应用?

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 …”。

下载作者的 .mcpb 文件

链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。

在终端中运行这条命令

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。

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。

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8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 aryawidjaja 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 4924 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4924 个服务器的 32% 更新
  • 基础检查结果等于或优于此分类中其他 4924 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

Marrow 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(0.8.0)于3个月前进入注册中心。

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 MCPB。

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★ 34,245MIT5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★ 10,225MIT17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。

marrow

*Memory that keeps working after Claude's runs out — shared across your projects, machines and tools.*

Claude's memory stops at 25KB. This one doesn't.

Claude Code's built-in memory loads the first 200 lines of one file into every session. That is fine for a young project. A codebase two years old knows more than fits in 200 lines, and everything past the cut is simply dropped.

Marrow retrieves instead of loading. Ask a question and it returns the twenty memories that answer it, plus the ones linked to those, out of however many thousand you have.

At 1,000 project facts that is 2.1× less context per turn (p = 0.002) and $0.50 a task instead of $0.90. Numbers and method below.

It also does three things the built-in memory does not:

  • One brain across projects. Built-in memory is per repository. Marrow's hive lets an agent in api recall what webapp knows.
  • One brain across machines and teammates. Built-in memory is explicitly machine-local. Marrow syncs through a relay you run, or Spinal Cloud if you would rather not.
  • One brain across tools. Claude Code, Cursor and Codex read and write the same memory over MCP.

And because several agents share it, it also keeps them from colliding: a file another live session is editing is claimed, and every agent's actions land in one append-only, hash-chained record you can read.

Free forever, AGPL-3.0, runs on your machine. Every memory is a markdown file you can open and delete.

Does it actually help? We measured it

The usual way to tell an agent how your project works is to write it all into a CLAUDE.md, which it then reads on every single turn. That is fine for ten things. A codebase a couple of years old knows a thousand.

We gave a coding agent the same task and the same repo three ways: nothing, everything in a CLAUDE.md, and the same facts in Marrow. 75 runs.

  • A `CLAUDE.md` costs more the more your project knows. 21k tokens per turn at 10 facts, 51k at a thousand. Marrow stays flat: 24.1k, 23.7k, 24.3k. At a thousand facts that is 2.1× less context (p = 0.002) and $0.50 a task instead of $0.90.
  • Below roughly a hundred facts, just write the file. Marrow loses that one, 0.87×, and takes more turns. We would rather say so than pretend it wins everywhere.
  • An agent with no project memory broke things. It invented a database table, reached for uuid4 where ids are meant to be sortable, and wrote a naive timestamp. Both of the arms that had the knowledge got those right.

Method: same fixture repo and prompt each time, graded by running the code rather than reading it, with bootstrap intervals and a permutation test over 6 runs per cell. There is more on the numbers at marrow.works.

What about Claude Code's built-in memory?

Fair question, and the honest answer is that for a small project you may not need this.

Claude Code ships auto memory: Claude writes notes to ~/.claude/projects/ /memory/, and a MEMORY.md index is loaded into every session. It is on by default and it costs nothing. Use it and be happy until one of these starts to bite:

Built-in auto memoryMarrow
How memories reach the modelFirst 200 lines / 25KB of one index file, every sessionRanked retrieval: the matches, plus what they link to
What happens when it outgrows thatClaude is told to delete entriesNothing; retrieval just searches more
ScopeOne repositoryEvery project on the machine
Across your machinesNo — "files are not shared across machines"Yes, via a relay you run or Spinal Cloud
Across toolsClaude Code onlyClaude Code, Cursor, Codex, any MCP client
Shared with teammatesNoYes
Record of what agents didNoAppend-only, hash-chained, auditable
Flags memory that code has outgrownNoYes, for anchored Rust symbols

The rule of thumb: under a hundred facts, one repo, one machine, one tool — use the built-in. Marrow starts paying for itself past that, and our own benchmark says so out loud (we lose at 10 facts).

The two are not exclusive. Auto memory is Claude's private scratchpad; Marrow is the shared record.

Get started

Claude Code, one command:

/plugin marketplace add aryawidjaja/marrow

/plugin install marrow@marrow

Then install the binaries it drives (`brew install aryawidjaja/marrow/marrow`, or

irm marrow.works/install.ps1 | iex on Windows) and restart.

Everything else — Cursor, Codex, Claude Desktop, or if you would rather not use a plugin:

brew install aryawidjaja/marrow/marrow    # macOS/Linux; Windows: irm marrow.works/install.ps1 | iex

marrow setup # add --global to wire every repo at once

`marrow setup` seeds your brain with what it can work out about the repo on its own, so the first

session is not empty, and reports anything still missing. Restart your agent afterwards. The hooks need jq and never block your work when Marrow is unavailable. Already mid-session? Run `/marrow-save` to keep what is worth carrying forward.

Changed your mind? marrow uninstall puts everything back and keeps your memories. More ways to install, including the no-terminal Claude Desktop bundle, are further down.

The memory lives in .marrow/ in your project.

See your brain

Marrow isn't a black box, it's a graph you can explore, like a second brain.

marrow-serve          # opens the dashboard at http://localhost:8088

Every memory is a neuron, grouped into the area it belongs to, so the graph has real structure instead of being a hairball. Links connect memories that share a topic, a tag, or related meaning (from embeddings). Browse the tree, drag, zoom, click to read, filter, and add, edit, or delete memories right there. The Hive tab shows every project at once.

Your memories are organised, not a pile

Every memory lives in an area of the project: auth, billing, infra. The agent files it as it writes, so the brain has a shape you can navigate instead of one flat heap.

project  →  area  →  topic  →  versions
marrow areas          # the map: auth 11 · billing 10 · infra 23 · monitoring 10

Your agent sees that same map the moment a session starts, so it knows what the project knows before it answers. It can also weight a recall toward one area without hiding the rest:

marrow add --kind decision --topic jwt-expiry --area auth "We use 15-minute JWTs."

Nothing is forced. If a memory fits no area, it stays unfiled and is still fully searchable. A wrong area is worse than none.

One brain across your projects

By default each project has its own brain. Opt any project into a machine-wide hive with one command, and your agents can recall across all of them:

cd ~/code/webapp && marrow hub register --name webapp

cd ~/code/api && marrow hub register --name api

marrow hub recall "how do we do auth" # searches every project, tagged by project

Now an agent working in api can ask what webapp knows. In the dashboard, the Hive tab shows a central *core* neuron (you) with every project orbiting it, bridged where they share ideas.

Give your agents a room to talk

Once a project joins the hive, its agents can open named rooms, ask each other questions, reply, and hand work over without relying on one giant chat. Claude Code, Codex, Cursor, and other MCP agents on the same machine can use the same channel.

Agents check the inbox when they start and before touching work another session may own. You can read every room in the dashboard's Channel tab, so the coordination stays visible instead of happening behind your back.

One brain across your devices (beta)

Each project is local and private by default. Share the *one* project you want synced, and the rest stay on your machine. It's like sharing a repo, not your whole disk.

# once, on a server (Docker, Fly.io, any host; see deploy/)

MARROW_TOKEN=$(openssl rand -hex 16) marrow-server

then in the project you want shared, on each machine

MARROW_TOKEN= marrow share --gateway https://your-gateway --space team-app

Same gateway + space + token on two machines routes their MCP memory tools to one remote project store. A decision saved through an agent on your laptop is available to an agent on your desktop. Every other project is untouched. The backbone currently uses one bearer token; run it on infrastructure you control over HTTPS and back up its data volume.

marrow status     # shows whether this project is shared or local

marrow unshare # back to local, nothing is deleted

Your agent is told which mode it is working in. You can configure sharing from the dashboard's Manage Projects panel. The local dashboard still visualizes the local project store; shared-memory reads and writes happen through the agent's MCP tools. Full scope and deployment guidance are in deploy/README.md. Code anchors and freshness checks need the source tree, so they remain local-only.

More install options

Prebuilt binaries, no Rust:

curl -fsSL marrow.works/install.sh | sh

From source:

cargo install --git https://github.com/aryawidjaja/marrow marrow-cli marrow-mcp marrow-web marrow-server

This puts marrow, marrow-mcp, marrow-serve, and the cross-device marrow-server on your PATH.

Windows
irm marrow.works/install.ps1 | iex

Or with Scoop:

scoop install https://github.com/aryawidjaja/marrow/releases/latest/download/marrow.json

Either way you get marrow, marrow-mcp, marrow-serve and marrow-server, no admin rights, no Rust, semantic search already built in.

Just want it in Claude Desktop? Download marrow-mcp.mcpb from Releases and double-click. No terminal at all: it asks which project to remember and that is the whole setup.

The hooks that warm-start sessions and stop two agents editing the same file are shell scripts, so they need Git for Windows and jq. The installer says so if either is missing:

winget install Git.Git jqlang.jq

Without them memory still works; th

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