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. Open Interpreter’s current docs describe a terminal coding agent with a sandbox and an approval mode. It is provider-agnostic, including a local model.
Method. docs.openinterpreter.com, read 2 October 2026. The page says it is built on the Codex harness and that you switch models with /model.
As of.
Claim. Do not run it unattended as root. Approval mode is the safety control the docs describe.
Method. Same docs: a sandbox decides what is possible, and an approval mode decides when to ask. This guide recommends leaving the ask in place.
As of.
Claim. Simple scripted edits can use a 7B Q4 (about 6.2 GB). Multi-step tasks should be planned on a 27–30B Q4 (about 18–20 GB).
Method. Site formula. Not a measured success rate for computer-use tasks.
As of.
Methodology — parameter math, quantization bytes, and the source list.
Open Interpreter’s documentation, read 2 October 2026, describes a coding agent in the terminal. You change into a project, run interpreter, and it reads files, edits them, and runs commands. The page says it sits on the Codex harness and stays provider-agnostic: OpenAI, Anthropic, or a local model, switched with /model. A sandbox limits what can run. An approval mode decides when it must ask. That is the product I am willing to describe. Older writeups that frame it as an unattended desktop puppet are not what these docs say, and I am not reviving that framing.
The docs say you bring your own model. Ollama or LM Studio is how that stays on the machine. Open WebUI can be the chat door if you do not want to live in the terminal, but the approval story has to remain somewhere you will actually look. A local model does not make a destructive command safer. It only changes where the weights sat when the command was proposed.
A 7B will write a small script and then do something foolish on the third step. I use it for “add a health endpoint” style edits inside a repo, with git so I can revert. For a task that chains several commands, I want a 27B or Muse Glimmer, and I still want the prompt that asks before it escalates. OpenHands is the alternative when you want a project sandbox rather than your real shell. Prefer that when the downside is high.
| Attempt | Model at Q4 | Memory |
|---|---|---|
| One file, you read the diff | K2-Horizon-7B, 6.2 GB | 8–12 GB. Approval stays on. |
| Several steps, still in a repo | Qwen3.8-27B, 18.2 GB, or K2-32B, 21.2 GB | 24 GB minimum. 36 GB if the session is long. |
| Screenshots of the desktop | Muse Glimmer, formula 20 GB, Meta K-quant ~17 GB plus vision | 24–32 GB envelope from Meta’s post. Not a reason to disable approval. Calculator. |
I am not recommending a model tier for “control the whole computer while I am away.” That setup does not get a hardware recommendation. If the docs add a fully unattended mode later, this paragraph still stands until a human reviews the command policy.
Run it as your user, on a machine you can reinstall. The Mac mini M5 Pro 24 GB (B0HGGHNQY6, $1,669.99 on 1 October 2026) is enough for the 7B and tight for the 27B. The Studio 36 GB (B0HGKSQMX6, $2,449) is the multi-step tier. Neither listing is a license to disable prompts. A 24 GB GPU is the same fit on Windows, with the same rule.
Mac mini M5 Pro 24 GB on Amazon
ASIN B0HGGHNQY6. Amazon Associates link. The live price is on that page, not locked in here.
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.