Best mini PC for an always-on AI agent like OpenClaw (2026)
We earn a commission when you buy through retailer links on this page, at no cost to you. It never decides what we recommend. As an Amazon Associate I earn from qualifying purchases. How we make money
Quick answer
An AI agent like OpenClaw that uses cloud models needs very little: its documentation asks for 2 GB of memory and recommends 4 GB. So the best choice is the base Mac mini (M6, 16 GB, $899 at Apple), which is silent, uses little power and works with Apple's apps; a budget Windows or Linux mini PC such as the ACEMAGIC K1 does the job for far less. If you want the agent to use local models instead, you need much more memory: a 64 GB Mac mini with M5 Pro, or a 128 GB Ryzen AI Max+ 395 machine.
| Pick | Memory | Bandwidth | Price | Store |
|---|---|---|---|---|
| Best overall Apple Mac mini (M6, 16 GB) Silent, frugal and works with Apple's apps; $899 | 16 GB unified | 153 GB/s | $899list price | Check Apple |
| Best budget ACEMAGIC K1 Plenty for an agent that uses cloud models, for a fraction of the price | 16 GB | 21.3 GB/s | $369list price | Check Amazon |
| Best for local models Apple Mac mini (M5 Pro, 64 GB) 64 GB at 307 GB/s runs capable local models quietly | 64 GB unified | 307 GB/s | $3,199list price | Check Apple |
| Best for large local models GMKtec EVO-X2 128 GB holds 120B-class models | 128 GB unified | 256 GB/s | $3,499.99at GMKtec, Sep 25, 2026 | Check GMKtec |
An always-on AI agent is a program that runs around the clock on a computer you own, reads your messages, and takes actions on your behalf. OpenClaw made the idea popular in 2026, and with it a surprising hardware trend: people buying Mac minis just to run it. The right machine depends on one question: will the agent use cloud models, or run its models locally?
If the agent uses cloud models
Most people point their agent at a cloud model from a provider such as OpenAI or Anthropic. The heavy work then happens in the provider’s data center, and the computer at home only runs the agent itself. OpenClaw’s documentation asks for just 2 GB of RAM, recommends 4 GB, and says the agent uses 200 to 400 MB when idle. It runs on macOS 13 or later, Linux, and Windows.
So you don’t need a powerful computer. You want one that is quiet, reliable, and cheap to leave on all day.
Why everyone bought a Mac mini
The Mac mini checks those boxes, and it lets an agent work with Apple apps such as Messages, Notes and Reminders, whose full integrations need macOS. Demand was strong enough that on Apple’s April 30, 2026 earnings call Tim Cook said the Mac mini and Mac Studio were sold out and could stay that way for several months, according to Decrypt. Supply has since recovered with the new M6 and M5 Pro models, which started shipping in September at higher prices than before.
The picks
Apple Mac mini (M6, 16 GB)
M6 12-core CPU, 12-core GPU, 16 GB, 256 GB. Apple M6, 12-core CPU
- Memory
- 16 GB unified
- Bandwidth
- 153 GB/s
- Price
- $899
Apple's base Mac mini. Small, silent and frugal, it is the default machine for an always-on AI agent that uses cloud models, and it runs small local models; 16 GB rules out anything larger.
For an agent that uses cloud models, the base Mac mini is the obvious machine: silent, efficient, and at home with Apple’s apps. 16 GB is far more than the agent needs. Its 153 GB/s of memory bandwidth also runs small local models, such as Gemma 4 E4B, well enough for simple private tasks.
What we like
- Silent and very efficient for 24/7 use
- Deep macOS integration for agent tools
What we don't
- 16 GB limits local models to small ones
- Memory can't be upgraded later
Where to buy
- Check price at Apple 16 GB / 256 GB
- Check price on Amazon 16 GB / 256 GB
list price $899 (Apple store starting price; checked Sep 25, 2026). Prices change often; the buttons show today's price at each store.
ACEMAGIC K1
AMD Ryzen 3 4300U (4 cores / 4 threads, Zen 2, 2.7-3.7 GHz)
- Memory
- 16 GB
- Bandwidth
- 21.3 GB/s
- Price
- $369
A budget mini PC with a 4-core Ryzen 3 4300U, 16 GB of upgradeable DDR4 and two M.2 slots. It ships with a single memory module, so its memory runs at half speed; in our tests it wrote 3 to 6 tokens per second with small models, usable for experiments but slow for chat.
If you don’t need Apple’s apps, you don’t need to pay Apple’s prices. Any modern mini PC with 8 GB or more handles an agent that uses cloud models; the K1 we are testing has 16 GB of upgradeable memory, runs Windows 11 Pro, and lists at $369. It is far too slow for large local models, which is why we list it only for cloud-model agents: in our tests it wrote small models at 3 to 6 tokens per second (T0003, T0004), partly because it ships with a single memory stick. We are measuring its power draw next.
What we like
- Two SO-DIMM slots, up to 64 GB, so memory is a cheap upgrade
- Two M.2 slots
- Drives three 4K displays
What we don't
- Only 4 cores and 4 threads
- Ships with one memory module, so memory runs single-channel at 21.3 GB/s
- Wi-Fi 5 and Bluetooth 4.2 are dated
Where to buy
- Check price on Amazon 16 GB / 512 GB
- Check price at ACEMAGIC 16 GB / 512 GB or 1 TB
- Check price at Best Buy 16 GB / 1 TB
list price $369 (ACEMAGIC store list price for 16 GB / 512 GB; checked Sep 25, 2026). Prices change often; the buttons show today's price at each store.
Apple Mac mini (M5 Pro, 64 GB)
M5 Pro 18-core CPU, 20-core GPU, 64 GB, 1 TB. Apple M5 Pro, 18-core CPU
- Memory
- 64 GB unified
- Bandwidth
- 307 GB/s
- Price
- $3,199
The small, silent way to run mid-size local models. The M5 Pro's 307 GB/s of unified memory bandwidth is about 20% more than a Ryzen AI Max+ 395, but 64 GB is the maximum, so 120B-class models don't fit.
If you want your agent to think locally and privately, memory is everything. The 64 GB M5 Pro Mac mini holds capable models such as Qwen3.6 35B-A3B and gpt-oss 20B, and its 307 GB/s bandwidth runs them quickly (see the table below). It stays small and quiet, which matters for a machine that never switches off.
What we like
- 307 GB/s memory bandwidth in a tiny, near-silent box
- Very low power draw for always-on use
What we don't
- 64 GB maximum, fixed at purchase
- Apple charges a lot for memory upgrades
Where to buy
- Check price at Apple 64 GB / 1 TB
list price $3,199 (Apple store price for M5 Pro 18-core CPU / 20-core GPU / 64 GB / 1 TB; checked Sep 25, 2026). Prices change often; the buttons show today's price at each store.
GMKtec EVO-X2
128 GB / 1 TB (also sold with 64 GB). AMD Ryzen AI Max+ 395 (16 cores / 32 threads, up to 5.1 GHz)
- Memory
- 128 GB unified
- Bandwidth
- 256 GB/s
- Price
- $3,499.99
A Ryzen AI Max+ 395 mini PC with 128 GB of fast unified memory, and the lowest-priced 128 GB machine among those we compared in September 2026. It holds gpt-oss 120B and 70B-class models.
For the biggest open models, such as gpt-oss 120B, you need 128 GB. The EVO-X2 is the lowest-priced 128 GB machine we found. It is much bigger than a Mac mini and, with a chip that runs at up to 120 W, likely louder under load; its power supply is an external brick.
What we like
- 128 GB of 256 GB/s unified memory for less than rivals
- Two M.2 slots
- Also sold with 64 GB for $1,300 less
What we don't
- Memory is soldered; choose the size you need up front
- Only 2.5 Gigabit Ethernet, where some rivals have 10 Gigabit
Where to buy
- Check price at GMKtec 64 GB or 128 GB
- Check price on Amazon 128 GB / 2 TB
$3,499.99 at GMKtec for 128 GB / 1 TB on Sep 25, 2026; list price $3,999.99 (GMKtec store regular price for 128 GB / 1 TB; checked Sep 25, 2026). Prices change often; the buttons show today's price at each store.
Which local models can each run?
| Machine | Qwen3.5 9B5.68 GB file | gpt-oss 20B12.11 GB file | Qwen3.6 35B-A3B22.13 GB file | gpt-oss 120B63.39 GB file |
|---|---|---|---|---|
| Apple Mac mini (M6, 16 GB) 16 GB, 153 GB/s | 17-23 | No fit | No fit | No fit |
| Apple Mac mini (M5 Pro, 64 GB) 64 GB, 307 GB/s | 34-45 | 68-87 | 67-86 | No fit |
| GMKtec EVO-X2 128 GB, 256 GB/s | 29-38 | 57-74 | 56-73 | 41-53 |
For agents, speed matters less than for chat, because the agent often works while you are away. Capability matters more: bigger models follow multi-step instructions more reliably. That is the case for 64 GB or more if your agent runs locally.
Leaving it on all day
A machine that never sleeps should be quiet and efficient. Apple’s recent Mac minis draw only a few watts at idle and are near-silent. Small x86 mini PCs are also frugal at idle, but their fans can be audible. Put the machine on a surge protector, set it to restart automatically after a power cut, and keep the agent’s access to your accounts as narrow as you can. We are adding wall-socket power measurements to our tests, starting with the K1.
Questions people ask
How much RAM does OpenClaw need?
OpenClaw's documentation lists a minimum of 2 GB of RAM, recommends 4 GB or more, and says OpenClaw itself uses about 200 to 400 MB when idle. That assumes cloud models do the thinking; running models locally needs far more memory.
Does OpenClaw run on Windows?
Yes. The documentation lists Windows support through a PowerShell installer or WSL 2, alongside macOS 13 or later and common Linux distributions. It needs Node.js 22 or later.
Do I need a Mac for an AI agent?
No. The Mac mini is popular because it is quiet, efficient and lets an agent work with Apple apps such as Messages, Notes and Reminders, whose full integrations need macOS. If you don't need those, a Windows or Linux mini PC is cheaper.
Should my agent use local models or cloud models?
Cloud models are more capable and need no special hardware, but every request leaves your machine. Local models keep everything private, but capable ones need 64 GB or more of fast memory. Many people start with cloud models and add a local model for private or simple tasks.
Sources
- OpenClaw documentation: system requirements, checked Sep 25, 2026
- Decrypt: OpenClaw put Apple back in the AI game, and now they can't build Macs fast enough, checked Sep 25, 2026
- Apple Mac mini technical specifications, checked Sep 25, 2026
- ACEMAGIC K1 product page, checked Sep 25, 2026
What changed
- Sep 26, 2026: Added our measured local AI speeds for the ACEMAGIC K1.
- Sep 25, 2026: First published.