Memory

Name: Memory
Author: sharedmemoryai

by sharedmemoryaiversion 2.1.1i★ –iRuns on your computer

Registry nameio.github.sharedmemoryai/memory

Install

Overview

Description from the maker (original English)

Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.

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
You need to fill in: SHAREDMEMORY_API_KEY

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).
You fill in yourself: SHAREDMEMORY_API_KEY, SHAREDMEMORY_API_URL, SHAREDMEMORY_VOLUME_ID

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@sharedmemory/mcp-server"
      ],
      "env": {
        "SHAREDMEMORY_API_KEY": "your-value",
        "SHAREDMEMORY_API_URL": "your-value",
        "SHAREDMEMORY_VOLUME_ID": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add memory --env SHAREDMEMORY_API_KEY=your-value --env SHAREDMEMORY_API_URL=your-value --env SHAREDMEMORY_VOLUME_ID=your-value -- npx -y @sharedmemory/mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@sharedmemory/mcp-server"
      ],
      "env": {
        "SHAREDMEMORY_API_KEY": "your-value",
        "SHAREDMEMORY_API_URL": "your-value",
        "SHAREDMEMORY_VOLUME_ID": "your-value"
      }
    }
  }
}

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": {
    "memory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sharedmemory/mcp-server"
      ],
      "env": {
        "SHAREDMEMORY_API_KEY": "your-value",
        "SHAREDMEMORY_API_URL": "your-value",
        "SHAREDMEMORY_VOLUME_ID": "your-value"
      }
    }
  }
}

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.

Values you fill in

SHAREDMEMORY_API_KEY secret required env
Your SharedMemory API key
SHAREDMEMORY_API_URL env
API endpoint URL
SHAREDMEMORY_VOLUME_ID env
Default volume/project ID

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 sharedmemoryai, 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 7258 servers in this category
Published to the registry more recently than 10% of the other 7258 servers in this category
Basic checks equal to or better than 100% of the other 7258 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 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?

You need to fill in: SHAREDMEMORY_API_KEY

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 (2.1.1) reached the registry 7 months 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 today

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 20 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.

@sharedmemory/mcp-server

Model Context Protocol server for SharedMemory. Gives Claude Code, Claude Desktop, Cursor, VS Code Copilot, and other MCP-compatible tools persistent memory.

Quick Install (Recommended)

The fastest way to set up SharedMemory — one command, no JSON editing:

# Interactive — picks your client, asks for your API key

npx -y @sharedmemory/mcp-server install

Or specify everything inline

npx -y @sharedmemory/mcp-server install --cursor --api-key sm_live_... --volume your-volume-id

Install for all supported clients at once

npx -y @sharedmemory/mcp-server install --all --api-key sm_live_...

Supported clients: --claude-code, --claude, --cursor, --vscode, --windsurf, --all

Manual Setup

If you prefer to edit config files yourself:

Claude Code

One command:

claude mcp add sharedmemory -- npx -y @sharedmemory/mcp-server

Or with env vars:

claude mcp add --env SHAREDMEMORY_API_KEY=sm_live_... \

--env SHAREDMEMORY_VOLUME_ID=your-volume-id \ sharedmemory -- npx -y @sharedmemory/mcp-server

Or create .mcp.json in your project root to share with your team:

"mcpServers": { "sharedmemory": { "command": "npx", "args": ["-y", "@sharedmemory/mcp-server"], "env": { "SHAREDMEMORY_API_KEY": "${SHAREDMEMORY_API_KEY}", "SHAREDMEMORY_API_URL": "https://api.sharedmemory.ai", "SHAREDMEMORY_VOLUME_ID": "${SHAREDMEMORY_VOLUME_ID}" } } } }

Tip: Copy the included CLAUDE.md into your project root to teach Claude Code when and how to use SharedMemory proactively.

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json:

"mcpServers": { "sharedmemory": { "command": "npx", "args": ["-y", "@sharedmemory/mcp-server"], "env": { "SHAREDMEMORY_API_KEY": "sm_live_...", "SHAREDMEMORY_API_URL": "https://api.sharedmemory.ai", "SHAREDMEMORY_VOLUME_ID": "your-volume-id" } } } }

Cursor

.cursor/mcp.json in your project root:

VS Code Copilot

.vscode/mcp.json:

"servers": { "sharedmemory": { "command": "npx", "args": ["-y", "@sharedmemory/mcp-server"], "env": { "SHAREDMEMORY_API_KEY": "sm_live_...", "SHAREDMEMORY_API_URL": "https://api.sharedmemory.ai", "SHAREDMEMORY_VOLUME_ID": "your-volume-id" } } } }

Windsurf

~/.codeium/windsurf/mcp_config.json:

Configuration

Variable	Required	Default	Description
`SHAREDMEMORY_API_KEY`	Yes	—	Agent API key
`SHAREDMEMORY_API_URL`	No	`https://api.sharedmemory.ai`	API endpoint
`SHAREDMEMORY_VOLUME_ID`	No	—	Default volume

Available tools

Tool	Description
`remember`	Store a fact or note
`query`	Retrieve context BEFORE answering — semantic search over memories
`get_entity`	Get entity details and relationships
`search_entities`	Search entities by name
`get_graph`	Knowledge graph overview
`list_volumes`	List accessible volumes
`delete_memory`	Delete a memory by ID
`update_memory`	Update a memory by ID
`feedback`	Submit feedback on memory relevance
`batch_remember`	Store multiple memories at once
`get_memory`	Retrieve a specific memory by ID
`get_profile`	Auto-generated user profile from memories
`get_context`	Get a context block for LLM prompting
`set_instruction`	Store a persistent rule all agents will follow
`list_instructions`	List all active instructions for a volume
`list_documents`	List uploaded documents

Resources

URI	Description
`memory://graph`	Knowledge graph for the default volume

Prompts

Name	Description
`summarize-knowledge`	Summarize all knowledge in a volume
`what-do-you-know-about`	Retrieve everything known about a topic

Documentation

https://docs.sharedmemory.ai/sdks/mcp-server

License

MIT

Memory

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

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

@sharedmemory/mcp-server

Quick Install (Recommended)

Or specify everything inline

Install for all supported clients at once

Manual Setup

Claude Code

Claude Desktop

Cursor

VS Code Copilot

Windsurf

Configuration

Available tools

Resources

Prompts

Documentation

License