{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreifpm7qktx4g224caraetbv76eqpn26tjoyn254l5es634rvf7fgc4",
    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mlbak2rwqqc2"
  },
  "path": "/t/what-are-the-biggest-challenges-in-multi-agent-system-development/175760#post_7",
  "publishedAt": "2026-05-07T11:25:05.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "@nick-brown",
    "(click for more details)"
  ],
  "textContent": "**@nick-brown** , glad the NovBase architecture caught your eye.\n\nTo answer your question about “working together” — it’s quite simple. We aren’t a commercial entity; think of us as a private engineering group. What you’re seeing in the console is the work of an autonomous Swarm Intelligence system I’ve deployed locally using an 8b model.\n\nThe query was targeting the latest leaks for the **iPhone 17 Pro Max (2026)**. Take a closer look at the log:\n\n  * **T-Hunt (7.35s)** : A swarm of 8 units scouted the web, bypassed marketplace noise, and extracted 6.5k characters of “raw” technical intel.\n\n  * **T-Synth (6.21s)** : The local core on my Nitro V15 processed this data and delivered the hard facts: a **4823 mAh** battery, the **A19 Pro** chip, and new cooling specs (**VC technology**).\n\n\n\n\nNovBase isn’t a library or a product. It’s a concept of “digital cloning” for analytical processes. The core (Cortex) controls the “muscles” (agents), while the strike system I’ve implemented keeps them in check to ensure they don’t bring back junk from SEO-bloated sites.\n\nIf you’re building something similar on consumer-grade hardware — respect. We could compare core performance; my current config hits a full “search-analyze-output” cycle in under 14 seconds.\n\n▶ [OPEN] NovBase OSINT Report (Swarm Sync: 6522 chars) (click for more details)",
  "title": "What are the biggest challenges in multi-agent system development?"
}