{
  "items": [
    {
      "amazon_search_url": "https://www.amazon.com/s?k=Beelink+SER9+Pro+Ryzen+AI+9+HX+370+mini+PC&tag=homegenerat0c-20",
      "blurb": "The most local-AI headroom in this list: 32GB of fast memory runs 14B-class models in Ollama comfortably, and the NPU takes always-on inference chores. It is also far more than enough for n8n, Home Assistant, and a stack of Docker services running at the same time.",
      "kind": "hardware",
      "name": "Beelink SER9 Pro",
      "price": 1169.0,
      "price_checked": "2026-11-05",
      "price_source": "Beelink (bee-link.com)",
      "spec": "AMD Ryzen AI 9 HX 370 \u00b7 32GB LPDDR5X RAM \u00b7 1TB NVMe SSD \u00b7 Radeon 890M graphics + 50-TOPS NPU",
      "use": "Local LLMs and heavy automation \u2014 the flagship home agent box"
    },
    {
      "amazon_search_url": "https://www.amazon.com/s?k=GMKtec+NucBox+K8+Plus+Ryzen+7+8845HS+mini+PC&tag=homegenerat0c-20",
      "blurb": "Unlike the soldered-memory boxes, the K8 Plus takes standard SO-DIMM RAM and M.2 drives, so it can grow with your stack. Dual Ethernet and an OCuLink port make it the flexible pick for a home server that also runs your automation around the clock.",
      "kind": "hardware",
      "name": "GMKtec NucBox K8 Plus",
      "price": 919.99,
      "price_checked": "2026-11-05",
      "price_source": "GMKtec (gmktec.com, 32GB + 1TB configuration)",
      "spec": "AMD Ryzen 7 8845HS \u00b7 32GB DDR5 RAM (SO-DIMM, expandable) \u00b7 1TB PCIe 4.0 SSD \u00b7 dual LAN + OCuLink",
      "use": "Self-hosted n8n and Docker stacks \u2014 the upgradable workhorse"
    },
    {
      "amazon_search_url": "https://www.amazon.com/s?k=Apple+Mac+mini+M6&tag=homegenerat0c-20",
      "blurb": "The current Mac mini \u2014 Apple replaced the M4 model with the M6 in 2026, and this is the one it sells now. Silent under load, sips power, and its unified memory is fast for local models via Ollama or LM Studio. If local LLMs are the main job, step up to 24GB or 32GB of memory; storage is not upgradable after purchase, so size it honestly.",
      "kind": "hardware",
      "name": "Apple Mac mini (M6)",
      "price": 899.0,
      "price_checked": "2026-11-05",
      "price_source": "Apple (apple.com, from-price)",
      "spec": "Apple M6 chip \u00b7 16GB unified memory \u00b7 256GB SSD (24GB / 32GB memory and larger-storage configs available)",
      "use": "Quiet always-on agent host \u2014 local models with the least fuss"
    },
    {
      "amazon_search_url": "https://www.amazon.com/s?k=NVIDIA+Jetson+Orin+Nano+Super+Developer+Kit&tag=homegenerat0c-20",
      "blurb": "A small AI computer for agents that see: camera feeds, on-device vision-language models, and robotics-adjacent projects, all inside NVIDIA's CUDA/JetPack ecosystem. It can run small local LLMs, but 8GB is tight \u2014 buy it for edge inference, not as your main n8n box.",
      "kind": "hardware",
      "name": "NVIDIA Jetson Orin Nano Super Developer Kit",
      "price": 249.0,
      "price_checked": "2026-11-05",
      "price_source": "NVIDIA (nvidia.com)",
      "spec": "Jetson Orin Nano module, 8GB RAM \u00b7 67 TOPS of AI performance \u00b7 boots from microSD (add NVMe storage for real work)",
      "use": "Edge AI and vision agents \u2014 a CUDA appliance, not a general server"
    },
    {
      "amazon_search_url": "https://www.amazon.com/s?k=Raspberry+Pi+5+8GB+kit&tag=homegenerat0c-20",
      "blurb": "The lowest-cost way to keep Home Assistant, a small n8n instance, and a few MCP servers running around the clock on a few watts. The price shown is Raspberry Pi's board-only list price \u2014 memory shortages pushed Pi prices up through 2026 \u2014 and you still need the 27W USB-C power supply, cooling, and storage. Most buyers grab a kit that bundles those, which is what the Amazon button searches for.",
      "kind": "hardware",
      "name": "Raspberry Pi 5 (8GB)",
      "price": 175.0,
      "price_checked": "2026-11-05",
      "price_source": "Raspberry Pi (raspberrypi.com list price \u2014 board only)",
      "spec": "2.4GHz quad-core Arm Cortex-A76 \u00b7 8GB LPDDR4X RAM \u00b7 microSD storage, or NVMe via a PCIe HAT",
      "use": "The cheap always-on node \u2014 Home Assistant, light n8n, MCP servers"
    },
    {
      "amazon_search_url": "https://www.amazon.com/s?k=Samsung+990+PRO+2TB+NVMe+SSD&tag=homegenerat0c-20",
      "blurb": "Local models are big files: a handful of 14B-32B models plus Docker images eats a 512GB drive fast. The 990 PRO is the safe, fast default for a mini-PC build or a Pi 5 NVMe HAT. Samsung's list price is shown; street prices usually run lower, which is what the Amazon button is for.",
      "kind": "hardware",
      "name": "Samsung 990 PRO 2TB NVMe SSD",
      "price": 639.99,
      "price_checked": "2026-11-05",
      "price_source": "Samsung (samsung.com list price)",
      "spec": "2TB \u00b7 PCIe 4.0 x4 NVMe, M.2 2280 \u00b7 up to 7,450 MB/s read \u00b7 1,200 TBW endurance, 5-year warranty",
      "use": "Fast storage for a mini-PC build \u2014 OS, Docker images, and local model files"
    },
    {
      "amazon_search_url": "https://www.amazon.com/s?k=CyberPower+CP1000PFCLCD+PFC+Sinewave+UPS&tag=homegenerat0c-20",
      "blurb": "An always-on stack that loses power mid-write eventually corrupts something. This pure-sine-wave UPS keeps a mini PC, router, and switch alive through short outages, and signals the host over USB to shut down cleanly when the battery runs low.",
      "kind": "hardware",
      "name": "CyberPower CP1000PFCLCD UPS",
      "price": 199.95,
      "price_checked": "2026-11-05",
      "price_source": "CyberPower (cyberpowersystems.com)",
      "spec": "1000VA / 600W \u00b7 pure sine wave output \u00b7 10 outlets (5 battery + surge, 5 surge only) \u00b7 USB management for graceful shutdown",
      "use": "Clean backup power \u2014 ride out outages and shut the stack down gracefully"
    },
    {
      "amazon_search_url": "https://www.amazon.com/s?k=AI+Engineering+Chip+Huyen&tag=homegenerat0c-20",
      "blurb": "For builders moving from API demos to production AI applications: evaluation, RAG, agents, and inference trade-offs, from a former Stanford ML systems instructor.",
      "kind": "book",
      "name": "AI Engineering \u2014 Chip Huyen",
      "price": null,
      "price_checked": "2026-11-05",
      "price_source": "Publisher: O'Reilly \u2014 check Amazon for the current price",
      "spec": "O'Reilly \u00b7 2025 \u00b7 print and ebook",
      "use": "The production-AI reference"
    },
    {
      "amazon_search_url": "https://www.amazon.com/s?k=AI+Agents+in+Action+Micheal+Lanham&tag=homegenerat0c-20",
      "blurb": "For Python developers building agents with today's stack: tool use, memory, MCP, and multi-agent patterns, worked end to end. The second edition is the one to get \u2014 it adds the MCP and agent-to-agent coverage the 2025 first edition predates.",
      "kind": "book",
      "name": "AI Agents in Action, Second Edition \u2014 Micheal Lanham",
      "price": null,
      "price_checked": "2026-11-05",
      "price_source": "Publisher: Manning \u2014 check Amazon for the current price",
      "spec": "Manning \u00b7 Second edition, 2026 (the current edition) \u00b7 print and ebook",
      "use": "The hands-on agent-building guide"
    }
  ],
  "note": "Prices are the manufacturers' published list prices, each labeled with its source and check date. They are not Amazon prices; the Amazon buttons run a search on amazon.com carrying this site's Amazon Associates tag (homegenerat0c-20).",
  "section": "Run your stack at home",
  "updated": "2026-11-05"
}