Controlled timing
A real-time system answers when a critical event happens, who owns it, and how to verify it.
Independent, open, and built on Linux. A real-time foundation for Super Intelligence research, BCI, medical research, and edge AI applications.
x86_64 guest recording · EEG fixture · not a hardware benchmark Transcript
As models move into the real world, XTOS focuses on what sits around the model: when data arrives, how events are scheduled, and how a system stays understandable, verifiable, and maintainable across devices.
A real-time system answers when a critical event happens, who owns it, and how to verify it.
Existing AI models and algorithms, and research toward SI, use clear device, kernel, and user-space interfaces.
Build scripts, guest checks, and multiple architectures give teams a reproducible baseline.

Move neural signals from acquisition to real-time feedback.

Create a stable, observable time boundary for critical responses.

Bring models closer to the data and the real environment.
Build XTOS on x86_64, verify it in QEMU, and use that software baseline before connecting real hardware.
$ git clone https://github.com/Aitaide/OpenXTOS.git$ cd OpenXTOS$ JOBS=$(nproc) ./scripts/build_system.sh$ QEMU_TIMEOUT=180 ./scripts/verify_system.sh # x86_64 / virtual environmentBuild and verify XTOS first. Then choose an area such as the SDK, tools, drivers, docs, or tests, and submit an improvement others can reproduce and review.