In Memoria runs on your own machine — the client starts it, so there is no endpoint to ping. 71 installs a week from npm.
Persistent codebase intelligence that gives AI assistants memory across sessions
Today is the operative word: we check In Memoria every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
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 in-memoria -- npx -y in-memoria
{
"mcpServers": {
"in-memoria": {
"args": [
"-y",
"in-memoria"
],
"command": "npx"
}
}
}
[mcp_servers.in-memoria]
command = "npx"
args = ["-y", "in-memoria"]
{
"mcpServers": {
"in-memoria": {
"args": [
"-y",
"in-memoria"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"in-memoria": {
"args": [
"-y",
"in-memoria"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
OPENAI_API_KEY (Optional OpenAI API key for embeddings (falls back to local transformers.js)).
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.