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Memory Layer

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

Client Configuration

— Connect Memory Layer to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "memory-layer-1": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory-layer-1"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Provide persistent, searchable memory for AI agents through MCP and REST APIs.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Memory Layer

Memory Layer exposes memory tools over both MCP (Model Context Protocol) and standard REST APIs, making it compatible with leading agent frameworks like Claude, Copilot, Bedrock, LangChain, CrewAI, and AutoGen.

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