Shared memory for parallel AI coding agents. Local, free, with rooms and file claims.
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 isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.

Memory that keeps working after Claude's runs out β 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 2.1Γ 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:
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.
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.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/<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 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 β "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 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.
Claude Code, one command:
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:
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.
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.
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:
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:
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.
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