Aimmy is a universal AI-Based Aim Alignment Mechanism developed by BabyHamsta, MarsQQ, and Taylor to make gaming more accessible for users who have difficulty aiming. Aimmy also provides an easy to use user-interface, a wide set of features and customizability options which makes Aimmy a great option for anyone who wants to use and tailor an Aim Alignment Mechanism for a specific game without having to code.
Aimmy is 100% free to use. This means no ads, no key system, and no paywalled features. Aimmy is not, and will never be for sale for the end user, and is considered a source-available product, not open source as we actively discourage other developers from making commercial forks of Aimmy.
Please do not confuse Aimmy as an open-source project, we are not, and we have never been one.
Want to connect with us? Join our Discord Server
If you want to share Aimmy with your friends use our website!
This is a fork of Aimmy, if any problems ask us on discord.
What's CUDA?
Cuda is pretty much just the better version of "DirectML" and uses Nividia's GPU power to make it more smoother and faster
What's DirectML?
Think of it as a mid lvl AI that relies on your GPU to work good
How does the AI work?
Using the imported models (pictures), it will then scan the game as you play and look for players that match the models (pictures)
- Download and run LazyAimmySetupCuda ... thats it.
Aimmy_CUDA_Tutorial_Lazyaimmy.mp4
- Download and Install the x64 version of .NET Runtime 8.0.X.X
- Download and Install the x64 version of .NET Runtime 7.0.X.X
- Download and Install the x64 version of Visual C++ Redistributable
- Download Aimmy from Releases (Make sure it's the Aimmy zip and not Source zip)
- Get cuDNN 8.9.x and CUDA 11.8
- Extract the Aimmy.zip file
- Run Aimmy.exe
- Choose your Model and Enjoy :)
Sometimes, when you load a model the application closes in an exception, this could mean:
- Your cuda installation is wrong. Check your PATH (env variables) for your Cuda installation and your cuDNN.
- Download and Install CUDA and cuDNN of CUDA 12.x and cuDNN 9.x, maybe you need to switch versions im not sure its kind of weird.
- Otherwise, make a ticket in our discord server