{
  "id": 19492254,
  "title": "How Nod Shares Assistant Memory Across Devices Through a Common Server",
  "url": "https://urgent.news/2026/11/11/how-nod-shares-assistant-memory-across-devices-through-a-common-server",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-11T12:20:03.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/alifar/how-nod-shares-assistant-memory-across-devices-through-a-common-server-1j1p"
  },
  "original_language": "en",
  "account": "Nod allows a single assistant experience across different devices, but only when all clients connect to the same Nod server. The server is where the assistant and its shared state live. Each client connected to a server accesses the same assistant, channels and model credentials, giving users continuity across devices. However, separate local installations or clients attached to different servers do not automatically combine their memory. Connecting a desktop client to a server does not transfer existing local conversation history or saved accounts to the server. For multi-device work, connecting every intended client to the same Nod server creates a shared working context. This setup supports a consistent working environment across devices, especially useful for businesses or teams relying on the assistant for recurring work. The server keeps the assistant running even after the desktop app is closed, allowing work to continue through another Nod client.",
  "summary": "Nod can provide a single assistant experience across laptops, desktops, and hosted machines, but only when each client connects to the same Nod server. In that setup, the server is the home for the assistant and its shared state. Separate local installations, or clients attached to different servers, do not automatically combine their memory. The distinction matters for anyone expecting an AI…",
  "key_points": [
    "Nod enables single assistant experience across devices",
    "Shared state lives on common Nod server",
    "Connecting all clients to same server creates shared context"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}