Nanogrid
A downloadable game for Windows, macOS, and Linux
Nanogrid is a puzzle game where you have to navigate progressively complex levels. Escape deadly embraces of hostile robots, avoid getting blocked in an interactive environment and figure out unconventional riddles.
The goal of the game is to get to the green flag and complete all levels - it is obviously not as simple as that. We have prepared some interesting levels for you to complete and challenges to overcome.
You can unleash your creative spirits and make your own levels in the editor and share them amongst your friends! In fact, our game is Turing complete as you can even design logic gates using robots. Among the default levels you can even find a full adder.
The game was originally developed as a university project. You can find the code here: https://github.com/0stam/psio-game.
To run the game you need to have a Java virtual machine installed.
Have fun!
Status | Released |
Platforms | Windows, macOS, Linux |
Authors | 0stam, Tysek64, Hashibane |
Genre | Puzzle |
Tags | 2D, blocks, Creative, Level Editor, Open Source, Pixel Art, Robots, Singleplayer, Tilemap, Turn-based |
Average session | A few minutes |
Languages | English |
Inputs | Keyboard |
Comments
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A lovely little puzzle game in a small package. Graphics and gameplay are reminiscent of a hit from the past, Chip’s Challenge.
Levels is where the fun of puzzle games is at, and this one has compact, somewhat difficult but far from impossible levels, each one with its distinct flavour.
Well done!
Thank you for your feedback!
Chip's Challenge was indeed one of my main inspirations when designing the graphics, so I am glad that you spotted it \(^o^)/
We hope that you continue to enjoy our game.
Seems interesting but my
Any chance we can have an online version or build instructions?
There was an issue with the .jar build, it should work fine now :)
Unfortunately it would be very difficult to make an online version of the game because of the GUI tools used.
If you want to build the game yourself, you can download the code from GitHub (link in the description) and compile it with a regular Java compiler.