GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
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.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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 …”。
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。
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
注册名称已通过 GitHub 账户 aryawidjaja 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
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。
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。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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 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:
api recall what webapp knows.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.
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.
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.
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 memory | Marrow | |
|---|---|---|
| How memories reach the model | First 200 lines / 25KB of one index file, every session | Ranked retrieval: the matches, plus what they link to |
| What happens when it outgrows that | Claude is told to delete entries | Nothing; retrieval just searches more |
| Scope | One repository | Every project on the machine |
| Across your machines | No — "files are not shared across machines" | Yes, via a relay you run or Spinal Cloud |
| Across tools | Claude Code only | Claude Code, Cursor, Codex, any MCP client |
| Shared with teammates | No | Yes |
| Record of what agents did | No | Append-only, hash-chained, auditable |
| Flags memory that code has outgrown | No | Yes, 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.
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.
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.
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.
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.
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.
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
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.
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.
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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