M

MHN AI Agent Memory

Verified Integration
Author: @shahzebqaziCategory: ServerApplication
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status

Client Configuration

— Connect MHN AI Agent Memory to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "mhn-ai-agent-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mhn-ai-agent-memory"
      ],
      "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 real-time, deterministic associative memory using Modern Hopfield Networks, eliminating the need for LLM calls or databases.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for MHN AI Agent Memory

Yes, it supports scalable tiered storage from 10 up to 10 million facts. It uses a hot/cold system, keeping frequently accessed memories in a fast Hopfield network and archiving the rest using approximate nearest-neighbor indexing like FAISS.

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