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osstudy's Projects

aquila icon aquila

AquilaOS: UNIX-like Operating System

axle icon axle

a UNIX-like kernel + userspace

basekernel icon basekernel

A simple OS kernel for research, teaching, and fun.

coremark icon coremark

Minimalist Kernel Providing Test Environment

deos icon deos

The distributed exokernel operating system

duneos icon duneos

A simple UNIX-like operating system

exscapeos icon exscapeos

A hobby OS written in assembly (nasm) and C. Small, realistic goals.

flingos icon flingos

An educational operating system written in C#. A great stepping stone from high to low level development.

ghost icon ghost

Ghost, a micro-kernel based operating system for the x86 architecture.

glidix icon glidix

An experimental UNIX-clone OS for x86_64.

helenos icon helenos

A portable microkernel-based multiserver operating system written from scratch. This is the HelenOS mainline repository.

includeos icon includeos

A minimal, resource efficient unikernel for cloud services

nanos icon nanos

A kernel designed to run one and only one application in a virtualized environment

os01 icon os01

Bootstrap yourself to write an OS from scratch. A book for self-learner.

osv icon osv

OSv, a new operating system for the cloud.

psos icon psos

Pretty Simple/Stupid Operating System

pure64 icon pure64

Pure64 is a 64-bit software loader initially created for BareMetal OS. The loader gets the computer into a full 64-bit state with no legacy compatibility layers and also enables all available CPU Cores in the computer. If you need a quick way to boot a 64-bit AMD/Intel based computer that will enable all available processors and load your software then Pure64 is ideal. Pure64 keeps an information table in memory that stores important details about the computer (Amount of RAM and memory layout, number of CPU cores and their APIC IDs, etc). The Pure64 loader has been released separately so others can use it in their own software projects.

raspberry-pi-os icon raspberry-pi-os

Learning operating system development using Linux kernel and Raspberry Pi

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