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Memwright

Verified Integration
Author: @bolnet•Category: ServerApplication
GitHub Repository
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status
Tags:#Claude#Search#Database#API#Python#Git#Filesystem#AI#GitHub#Node.js#Docker

Client Configuration

— Connect Memwright to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "memwright": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memwright"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Equips AI agents with an embedded, inspectable memory system that leverages SQLite, pgvector, and Neo4j for efficient, multi-layer information retrieval.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Memwright

Memwright is an embedded, inspectable memory system for AI agents that prevents them from forgetting information. It uses SQLite for core storage, pgvector for semantic search, and Neo4j for graph traversal to enable efficient, multi-layer information retrieval.

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