Agent Cowork Memory

Name: Agent Cowork Memory
Author: rxthlessbeats

by rxthlessbeatsversion 0.3.2i★ –iRuns on your computer

Registry nameio.github.rxthlessbeats/agent-cowork-memory

Install

Overview

Description from the maker (original English)

Shared memory and delegation for Codex, Cursor, Claude Code, and OpenCode.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-cowork-memory": {
      "command": "npx",
      "args": [
        "-y",
        "agent-cowork-memory",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-cowork-memory -- npx -y agent-cowork-memory mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-cowork-memory": {
      "command": "npx",
      "args": [
        "-y",
        "agent-cowork-memory",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-cowork-memory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agent-cowork-memory",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account rxthlessbeats, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7286 servers in this category
Published to the registry more recently than 80% of the other 7286 servers in this category
Basic checks equal to or better than 100% of the other 7286 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Cowork Memory safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.2) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Agent Cowork Memory (ACM)

 █████╗  ██████╗███╗   ███╗

██╔══██╗██╔════╝████╗ ████║ ███████║██║ ██╔████╔██║ ██╔══██║██║ ██║╚██╔╝██║ ██║ ██║╚██████╗██║ ╚═╝ ██║ ╚═╝ ╚═╝ ╚═════╝╚═╝ ╚═╝

Hit your Codex limit mid-task? Open Cursor, say "continue from Codex", and keep going. ACM gives Codex, Claude Code, Cursor, and OpenCode one shared memory, so you never paste context again, and any agent can put the others to work.

Verified by [benchmark](#benchmark): with Codex on 38 held-out tasks, ACM finished 223 of 228 runs, against 130 with a pasted summary. Cursor and OpenCode performed similarly with ACM and summaries.

Codex · Claude Code · Cursor · OpenCode

Demo

More demos on the ACM official site

Install

With Node 24 or newer:

npx agent-cowork-memory setup

Setup adds ACM to Cursor, and to Codex, Claude Code, and OpenCode when they are installed; Installed one later? Run setup again. Restart your agents, and ACM is available in every project.

Tested for real on Linux and WSL. macOS and Windows pass CI; real runs welcome.

Use

Memory Sharing

Open the same project in Codex and Cursor. To pick up a chat in the other agent, ask:

Use ACM to continue from Cursor.

Or, in Cursor:

Use ACM to continue from Codex.

Every agent can see every chat in the project. If there is more than one, the agent lists them (agent, time, thread, first message, and whether ACM started it for a delegated job) and asks you which one to continue. You can also name it:

Use ACM to continue the Codex chat about the trip.

Related work goes together in a thread: continuing a chat, or delegating from it, keeps the work on one thread, and a new chat can join one of the project's open threads. ACM keeps each thread's timeline as things happen (chats joining, jobs starting and finishing, notes added), so any agent can see where the work stands.

Ask your agent to remember a decision, and every agent in the project sees it. Notes stay true.

Delegate to other agents

Any agent can hand work to the others:

Tell codex to write plan.md, and claude to write packing.md.

Each agent gets a brief, joins the thread it was sent from, claims the files it edits so they don't collide, and reports back. Agents run in the background. With herdr installed, each one gets its own pane you can watch (herdr session attach acm). If you resumed a chat that's open in a herdr pane, work for that agent goes back to that chat, in its pane.

Benchmark

What it evaluates

How much of earlier chats' context survives when a new chat continues the work.
Each task is a small Python repo in two steps: earlier chats do step 1 and leave step 2's details in the chat.
The details sit in one short or long chat, spread over two chats, changed later, corrected mid-chat, or against a README that still says the old thing.
A run counts only if every hidden check passes, existing tests still pass, and no old or replaced value is implemented.

What we tested

Codex (gpt-6-luna, medium effort), Cursor (Grok 4.7 High), and OpenCode (GLM-5.3-Flash), continuing the work five ways:
no ACM;
ACM (*"Use ACM to continue from my last chat…"*);
the summary the earlier chat writes when asked;
a careful handoff note, including any Markdown files its turn wrote;
every earlier chat pasted in.
Held-out tasks written before the runs, with the analysis fixed in advance. Pilot checks and earlier-chat guards determine which tasks count for each agent.
Two independent histories, 3 runs per way per history; no ACM runs once per history.

Agent	Tasks	ACM	Summary pasted	Handoff note pasted in full	Full history pasted
Codex	38	223/228	130/228	214/228	222/228
Cursor	47	282/282	281/282	274/282	281/282
OpenCode	42	242/252	237/252	235/252	244/252

npm run bench        # offline checks, free

npm run bench:live # the live benchmark; spends your agent quota

MCP tools

Tool	What it does
`context`	Your thread and its timeline, the project's notes (after the first call, only what's new), open threads, recent jobs, who is working, and held files. Pass `hold` to claim files before writing, `thread` to join one, `done` to close yours. `stale` lists notes whose files changed, to re-check.
`note_add`	Saves a note every agent sees, and shows notes it may contradict. `tier`: `short` (default, kept 7 days) or `long`; `supersedes`: the note it replaces.
`note_search`	Finds notes and delegated jobs' results.
`chats`	Lists recent chats from every agent in the project, and marks the ones ACM started.
`resume`	Asks you which chat to continue when there are several, then reads it, with what you said in its thread's other chats, and joins its thread.
`delegate`	Starts other agents with a brief, in herdr panes or in the background, and waits for them.
`delegate_wait`	Keeps waiting on this chat's delegated agents.

ACM tells which chat it is in on its own; no tool needs a session or, from the project folder, a path (every tool takes an optional repo_path).

CLI

Command	What it does
`acm setup`	Adds ACM to your agents.
`acm mcp --harness`	Runs the MCP server; agents start it themselves.
`acm status [--repo ] [--chat ] [--harness ]`	The project's jobs, held files, and a chat's thread, as JSON.
`acm doctor`	Checks the install: Node, the database, herdr, and which agents are on PATH.
`acm backup [--to ]`	Copies the database.

--home (or ACM_HOME) moves ACM's state folder from ~/.agent-cowork-memory. Run them with npx -y agent-cowork-memory , or acm once it's installed globally.

Agent Cowork Memory

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Agent Cowork Memory (ACM)

Demo

Install

Use

Memory Sharing

Delegate to other agents

Benchmark

MCP tools

CLI