memwright

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.bolnet/memwright",
  "description": "Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.",
  "repository": {
    "url": "https://github.com/bolnet/agent-memory",
    "source": "github"
  },
  "version": "0.1.3",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "memwright",
      "version": "0.1.3",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "PostgreSQL connection string for pgvector (default: postgresql://memwright:memwright@localhost:5432/memwright)",
          "name": "PG_CONNECTION_STRING"
        },
        {
          "description": "Neo4j database password (default: memwright)",
          "isSecret": true,
          "name": "NEO4J_PASSWORD"
        },
        {
          "description": "OpenRouter API key for embeddings (required for semantic search)",
          "isSecret": true,
          "name": "OPENROUTER_API_KEY"
        },
        {
          "description": "OpenAI API key for embeddings (alternative to OpenRouter)",
          "isSecret": true,
          "name": "OPENAI_API_KEY"
        }
      ]
    }
  ]
}