ashishyesale/sage-os repository overview

• Build a fully bootable, bare-metal operating system from scratch
• Integrate basic AI/ML models to inform system-level decisions
• Enable self-monitoring and self-optimization over time
• Keep the codebase portable across architectures (starting with ARM/RPi)

This image illustrates the "Self-Evolving, AI-Driven OS Lifecycle" — a conceptual flow for how your SAGE OS can autonomously detect hardware, build itself, and evolve across platforms.

⁠🔍 Step-by-Step Breakdown:

1. AI Detects Architecture and Hardware

   • On boot or install, SAGE OS's embedded AI analyzes the CPU type, memory, buses, I/O interfaces, and connected devices.

2. Generate Platform-Specific Kernel and Drivers

   • Based on the detected architecture (ARM, x86, RISC-V, etc.), the AI compiles or adapts the kernel and drivers tailored to the platform.

3. Build Disk Image or Container

   • The AI assembles a bootable .img, .iso, or container that includes the new kernel, drivers, and shell environment.

4. Boot Automatically

   • The new OS version is booted directly, either on the device or inside a VM/emulator (like QEMU) for testing.

5. Monitor Performance and Stability

   • AI continuously checks system behavior: uptime, crashes, latency, driver responses, etc.

6. Stable → Keep New Image

   • If everything runs well, the system promotes this version as the active build.

7. Unstable → Roll Back

   • If issues are found, the AI automatically rolls back to the previous known-good state.

This workflow allows SAGE OS to evolve, rebuild, and test itself across any platform — moving toward true autonomy and architectural universality.

• Custom bootloader for Raspberry Pi
• Basic kernel with memory & process management
• Custom command-line shell (SAGE Shell)
• Integrated AI agent (TinyML / rule-based to start)
• Self-tuning task scheduler and memory allocator
• Support for minimal file system
• Ability to evolve through version-aware updates

SAGE OS will include embedded, resource-efficient AI components that can:

• Perform local inference (TinyML)
• Observe usage and optimize scheduling
• Trigger self-diagnostics and reconfiguration
• Eventually, enable modular regeneration of subsystems

• Languages: ARM Assembly, C (kernel), Python (tools & ML prototyping)
• Platform: Raspberry Pi 4B (64-bit ARMv8)
• Toolchain: arm-none-eabi-gcc, QEMU, Make, TinyML (TFLM, uTensor)
• Build Environment: macOS M1 (cross-compilation)

This project is licensed under the CC BY-NC 4.0 License⁠.
You're free to use, modify, and share the code for non-commercial purposes with attribution.
All rights reserved to the original author.

• boot/ - Architecture-specific boot code
• kernel/ - Core kernel functionality
• drivers/ - Hardware drivers
• scripts/ - Utility scripts for building and testing

⁠Prerequisites

To build and run SAGE OS, you need the following tools:

• GCC cross-compilers for your target architectures:

  • x86_64-linux-gnu-gcc for x86_64
  • aarch64-linux-gnu-gcc for ARM64/AArch64
  • riscv64-linux-gnu-gcc for RISC-V 64-bit

• QEMU for emulation:

  • qemu-system-x86_64 for x86_64
  • qemu-system-aarch64 for ARM64/AArch64
  • qemu-system-riscv64 for RISC-V 64-bit

⁠Installing Prerequisites

On Debian/Ubuntu:

# Install cross-compilers
sudo apt-get install gcc-x86-64-linux-gnu gcc-aarch64-linux-gnu gcc-riscv64-linux-gnu

# Install QEMU
sudo apt-get install qemu-system-x86 qemu-system-arm qemu-system-misc

⁠Building SAGE OS

To build SAGE OS for a specific architecture:

# Clean previous build artifacts
make clean

# Build for x86_64
make ARCH=x86_64

# Build for ARM64/AArch64
make ARCH=aarch64

# Build for RISC-V 64-bit
make ARCH=riscv64

The build process creates:

• Object files for each source file
• kernel.elf - The linked ELF executable
• kernel8.img - The raw binary image

⁠Running SAGE OS

⁠Using QEMU

You can run SAGE OS in QEMU using the provided script:

# Run on x86_64
./scripts/test_emulated.sh x86_64

# Run on ARM64/AArch64
./scripts/test_emulated.sh aarch64

# Run on RISC-V 64-bit
./scripts/test_emulated.sh riscv64

⁠Running on Real Hardware

For Raspberry Pi (ARM64):

1. Copy kernel8.img to the boot partition of your SD card
2. Make sure config.txt contains arm_64bit=1
3. Boot your Raspberry Pi

⁠Development

⁠Adding New Features

1. Add your source files to the appropriate directory
2. Update the Makefile if necessary
3. Build and test using the commands above

⁠License Compliance

All source files must include the BSD 3-Clause License header. You can check for compliance using:

./license-checker.py

If you need to add license headers to new files:

./add_license_headers.py

⁠Troubleshooting

⁠Build Errors

• Missing compiler: Make sure you have installed the appropriate cross-compiler for your target architecture
• Linker errors: Check that all required object files are being included in the link step

⁠Runtime Errors

• Kernel doesn't boot: Verify that the boot code for your architecture is correctly implemented
• QEMU crashes: Make sure you're using the correct QEMU parameters for your architecture