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Memory3

Verified Integration
Author: @AlanRuskin6•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 Memory3 to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "memory3": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory3"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Provides an ultra-lightweight, fully local AI memory system designed for Model Context Protocol (MCP) clients, featuring semantic storage and hybrid search capabilities.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Memory3

Memory3 offers 'Hybrid Search (RRF)', which integrates vector semantics with BM25 keyword matching for superior search precision. For speed, it uses 'HNSW Indexing' to enable ultra-fast approximate nearest neighbor searches, ensuring low-latency retrieval even for large memory sets.

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