io.github.bolnet/memwright
Quality Score
78
/100
Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.
§01 Install
Claude Desktop (uvx)
{
"mcpServers": {
"memwright": {
"command": "uvx",
"args": [
"memwright"
],
"env": {
"PG_CONNECTION_STRING": "<pg_connection_string>",
"NEO4J_PASSWORD": "<your-neo4j_password>",
"OPENROUTER_API_KEY": "<your-openrouter_api_key>",
"OPENAI_API_KEY": "<your-openai_api_key>"
}
}
}
}§02 Environment variables
PG_CONNECTION_STRINGPostgreSQL connection string for pgvector (default: postgresql://memwright:memwright@localhost:5432/memwright)
NEO4J_PASSWORDsecret
Neo4j database password (default: memwright)
OPENROUTER_API_KEYsecret
OpenRouter API key for embeddings (required for semantic search)
OPENAI_API_KEYsecret
OpenAI API key for embeddings (alternative to OpenRouter)
§03 MCP Quality Score · methodology
freshness
23
completeness
10
installability
25
documentation
15
stability
5
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