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  1. Home
  2. 🧠 Knowledge & Memory
  3. Marrow
Marrow logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 3:17:04 AM

Marrow

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).Visit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Marrow, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

Marrow and Spinal Cloud

marrow

Memory that keeps working after Claude's runs out β€” shared across your projects, machines and tools.

Release License Website Built with Rust Stars

MCP Claude Code Cursor Codex

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 2.1Γ— 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

Context per turn stays flat for Marrow from 10 to 1,000 project facts, while a CLAUDE.md climbs from 20,962 to 51,141 tokens per turn

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 2.1Γ— 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, 0.87Γ—, 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/<project>/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 β€” "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 β€” 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:

Code
/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 β€” Cursor, Codex, Claude Desktop, or if you would rather not use a plugin:

bash
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.

bash
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.

Code
project  β†’  area  β†’  topic  β†’  versions
bash
marrow areas          # the map: auth 11 Β· billing 10 Β· infra 23 Β· 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:

bash
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:

bash
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.

bash
# 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=<the-token> marrow share --gateway https://your-gateway --space team-app

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
3
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Marrow

We don't have a confirmed install command for Marrow yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/aryawidjaja/marrow) for the current steps.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
Last updatedAug 12, 2026
4/8 checks healthy over the last 46d
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Last commit1mo ago
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity3/15
Community engagement0/10

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