Memory runs on your own machine — the client starts it, so there is no endpoint to ping. 63 installs a week from npm. Last commit 17 May 2026.
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
What the code does
We read the source, 19 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
return execFileSync(cmd, [bin], { encoding: "utf-8" }).trim().split("\n")[0];
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Connect this server
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add memory -- npx -y @sharedmemory/mcp-server{
"mcpServers": {
"memory": {
"args": [
"-y",
"@sharedmemory/mcp-server"
],
"command": "npx"
}
}
}[mcp_servers.memory]
command = "npx"
args = ["-y", "@sharedmemory/mcp-server"]{
"mcpServers": {
"memory": {
"args": [
"-y",
"@sharedmemory/mcp-server"
],
"command": "npx"
}
}
}{
"mcpServers": {
"memory": {
"args": [
"-y",
"@sharedmemory/mcp-server"
],
"command": "npx"
}
}
}This one needs environment variables set before it will start:
SHAREDMEMORY_API_KEY (Your SharedMemory API key), SHAREDMEMORY_API_URL (API endpoint URL), SHAREDMEMORY_VOLUME_ID (Default volume/project ID).
The author declared them in the registry entry; get the values from the project itself.
Alternatives to Memory
same job, measured the same wayPersistent memory for AI agents. Store, recall, and share knowledge across sessions.
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.
Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.
Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.
Memory — questions
Answers built from our own checks of this server.