CPersona runs on your own machine — the client starts it, so there is no endpoint to ping. 4 871 installs a week from pypi. Last commit 18 Sep 2026.
Persistent AI memory in one SQLite file: 3-layer hybrid search, confidence scoring, 29 tools.
Today is the operative word: we check CPersona 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 cpersona -- uvx cpersona
{
"mcpServers": {
"cpersona": {
"args": [
"cpersona"
],
"command": "uvx"
}
}
}
[mcp_servers.cpersona]
command = "uvx"
args = ["cpersona"]
{
"mcpServers": {
"cpersona": {
"args": [
"cpersona"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"cpersona": {
"args": [
"cpersona"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
CPERSONA_DB_PATH (SQLite database path. Defaults to data/cpersona.db, which follows the client's working directory — set it to an absolute path to keep one memory across sessions.), CPERSONA_EMBEDDING_MODE (Embedding mode: 'http' to use an embedding server for vector search, 'none' for lexical layers only.), CPERSONA_EMBEDDING_URL (Embedding server endpoint, e.g. http://127.0.0.1:8401/embed. Required when CPERSONA_EMBEDDING_MODE=http.), CPERSONA_RECALL_MODE (Recall fusion strategy: 'rrf' (default), 'rsf', or 'cascade'.).
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.