Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Shared memory for parallel AI coding agents. Local, free, with rooms and file claims.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 aryawidjaja 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.8.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 MCPB도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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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