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Memory Tracker

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

Client Configuration

— Connect Memory Tracker to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "memory-tracker": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory-tracker"
      ],
      "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 persistent memory capabilities for AI assistants using OpenAI's vector stores, enabling them to save and search through memories across conversations.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Memory Tracker

Yes, Memory Tracker automatically creates and manages the necessary OpenAI vector stores (e.g., named 'memories'), simplifying the setup and ongoing maintenance for persistent storage.

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