Claim. manus.im, fetched 2 October 2026, presented the title “Manus: Hands On AI” and no feature matrix I could quote.
Method. Primary homepage fetch. Unverified “Manus 2.0” claims from secondary writeups are omitted.
As of.
By Billy G.R. · 2 October 2026
Checked 2026-10-02. Author: Billy G.R. Retail prices move; the hardware catalog stores the Amazon snapshot, not a promise of stock.
Claim. manus.im, fetched 2 October 2026, presented the title “Manus: Hands On AI” and no feature matrix I could quote.
Method. Primary homepage fetch. Unverified “Manus 2.0” claims from secondary writeups are omitted.
As of.
Claim. OpenHands’ current local path is Agent Canvas, the CLI, and the Software Agent SDK. The Docker Local GUI is documented as deprecated.
Method. docs.openhands.dev, read 2 October 2026.
As of.
Claim. A sandbox plus a 27B Q4 coding model needs about 18.2 GB for the weights, so 24 GB is the minimum comfortable tier and 36 GB is the one with KV headroom.
Method. 27 × 0.5 × 1.2 + 2 = 18.2. Browser and container RAM are additional and not in that figure.
As of.
Methodology — parameter math, quantization bytes, and the source list.
Manus (manus.im) is the commercial product people mean when they search for a hands-on cloud agent that researches and comes back with a deliverable. On 2 October 2026 the homepage fetch returned the title “Manus: Hands On AI” and almost nothing else. I will not invent a feature list, a version number, or a price from that. Re-open the site, and their docs or changelog if they publish one, before you believe a roundup that says “Manus 2.0 does X.” This page is about the local substitute I can actually describe.
The job those products sell is: give the agent a computer that is not your laptop, let it browse and execute, and read the result. OpenHands is the open project aimed at that job. As of the docs I read, the pieces are:
Put Ollama behind the agent. Add browser-use when the task is the web. The OpenHands hardware guide is the longer version of the memory table. A 7B model will not match a frontier cloud agent on a multi-step research job. I would rather you hear that here than after the purchase.
The container and Chromium need RAM. The model needs VRAM or unified memory. On Apple Silicon those are one pool, so a “24 GB model fit” can still swap once Docker and a browser are up. Formula for the weights only: Q4_K_M params × 0.6 + 2. Then use the calculator for context.
| Memory you have | Sandbox plus model |
|---|---|
| 16 GB | Minimum. 7B Q4 at 6.2 GB, plus a small container. Uncomfortable the moment the browser opens. |
| 24 GB | Qwen3.8-27B at 18.2 GB. This is the first tier where a research loop is plausible. Still tight with Docker and Chrome. |
| 36 GB unified | The same 27B or a 32B at 21.2 GB, with room for the sandbox. The tier I would actually buy. |
I am not publishing a tokens-per-second claim for this stack. Sandbox startup time and page loads dominate a lot of these tasks anyway.
Mac Studio M5 Max 36 GB, ASIN B0HGKSQMX6, was $2,449 on Amazon on 1 October 2026. That is the single verified machine that matches “sandbox plus a 27–32B model” without stepping up to 128 GB. If Manus’s cloud agent is good enough for the deliverable, you do not need this box. Buy it when the constraint is that the repo and the browser session stay local.
Mac Studio M5 Max 36 GB on Amazon
ASIN B0HGKSQMX6. Amazon Associates link. The live price is on that page, not locked in here.
A correction or a hardware question goes to the contact page.