Collective Memory runs on your own machine — the client starts it, so there is no endpoint to ping. 40 installs a week from npm. Last commit 29 May 2026.
MCP server for persistent, semantic memory across AI sessions
We read the source, 23 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.
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Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
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.
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 collective-memory -- npx -y collective-memory
{
"mcpServers": {
"collective-memory": {
"args": [
"-y",
"collective-memory"
],
"command": "npx"
}
}
}
[mcp_servers.collective-memory]
command = "npx"
args = ["-y", "collective-memory"]
{
"mcpServers": {
"collective-memory": {
"args": [
"-y",
"collective-memory"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"collective-memory": {
"args": [
"-y",
"collective-memory"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
OPENAI_API_KEY (OpenAI API key for generating embeddings).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.