Thomas Was Alone MacOS Version

Thomas Was Alone

Meet Thomas, an inquisitive rectangle, and help him unwind the riddles of his presence in a brilliantly odd world. Encounter 100 levels of honor winning stage gameplay and partake in an enthusiastic story described by Danny Wallace.

“Over the diversion’s holes and risks, there’s a genuine enthusiastic excursion loaded with narcissism and desire.”

New York Times

“Lavish visuals and a drawing in story.”

The Guardian

“It demonstrates that you needn’t bother with a huge number of dollars and several staff to make a diversion story worth telling, only a decent snare, a drawing in vision, and a mess of heart.”

9/10 – Destructoid

“Thomas Was Alone is a triumphant bit of moderate amusement outline that figures out how to do a ton with a little in an industry which dreadfully as often as possible accomplishes the correct inverse, and it merits much acclaim for that.”

8/10 – Official Playstation Magazine

Key Features:

** Experience the BAFTA winning, million offering diversion from maker Mike Bithell

** A moderate diversion about fellowship and bouncing

** 100 levels, one immersive excursion

** Award winning story described by Danny Wallace

** Includes FREE new ‘Benjamin’s Flight’ level pack, giving you more story and 20 extra levels to play through with youthful Benjamin, who goes looking for the Fountain of Wisdom supported by his dad’s mind blowing creation.

Macintosh System Requirements

 Thomas Was Alone MacOS Version

Least:

OS:10.6 Snow Leopard

Processor:1.7 GHz

Memory:2 GB RAM

Graphics:1024×768 or more prominent desktop screen determination (Intel hd 3000 or practically identical)

Hard Drive:500 MB HD space

Additional:Requires console. Touchpad upheld, yet mouse emphatically suggested for best play encounter. Thomas Was Alone MacOS Version

Suggested:

OS:10.6 Snow Leopard

Processor:2.4 GHz

Memory:4 GB RAM

Graphics:Nvidia GT 130 or practically identical

Hard Drive:500 MB HD space

Additional:Requires console. Touchpad upheld, yet mouse emphatically suggested for best play encounter.

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