Memwright runs on your own machine — the client starts it, so there is no endpoint to ping. 108 installs a week from pypi. Last commit 30 May 2026.
Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.
Today is the operative word: we check Memwright 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 memwright -- uvx memwright
{
"mcpServers": {
"memwright": {
"args": [
"memwright"
],
"command": "uvx"
}
}
}
[mcp_servers.memwright]
command = "uvx"
args = ["memwright"]
{
"mcpServers": {
"memwright": {
"args": [
"memwright"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"memwright": {
"args": [
"memwright"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
PG_CONNECTION_STRING (PostgreSQL connection string for pgvector (default: postgresql://memwright:memwright@localhost:5432/memwright)), NEO4J_PASSWORD (Neo4j database password (default: memwright)), OPENROUTER_API_KEY (OpenRouter API key for embeddings (required for semantic search)), OPENAI_API_KEY (OpenAI API key for embeddings (alternative to OpenRouter)).
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.