Internal documentation and technical resources
Essential guides for new contributors
Get up and running with EmbeddedOS development in minutes. Learn about our development environment, toolchain, and basic workflows.
Read Documentation →Learn how to contribute to EmbeddedOS projects. Code standards, pull request process, and best practices for collaboration.
Read Documentation →Understand the overall system architecture of EmbeddedOS, including core components, modules, and their interactions.
Read Documentation →Technical reference for developers
System Level APIs
Documentation for core system APIs including process management, memory allocation, and hardware abstraction layer interfaces.
View API Docs →Machine Learning Integration
APIs for integrating AI and machine learning models into the operating system, including inference engines and model management.
View API Docs →Security & Cryptography
Documentation for security-related APIs including encryption, authentication, secure boot, and neural link protection.
View API Docs →Hardware Drivers
Comprehensive guide for developing device drivers, including templates, best practices, and hardware interface specifications.
View API Docs →Step-by-step learning resources
Learn to create a basic device driver for EmbeddedOS. Covers initialization, I/O operations, and integration with the kernel.
Difficulty: Beginner | Time: 2 hours
Step-by-step guide to deploying a machine learning model on EmbeddedOS, from model conversion to runtime optimization.
Difficulty: Intermediate | Time: 4 hours
Add multi-layer security to your embedded application using our security framework and best practices.
Difficulty: Advanced | Time: 6 hours
Develop applications that run across multiple hardware platforms using our portable abstraction layer.
Difficulty: Intermediate | Time: 3 hours
Design and implement real-time applications with deterministic timing guarantees on EmbeddedOS.
Difficulty: Advanced | Time: 5 hours
Implement efficient power management strategies to maximize battery life in embedded devices.
Difficulty: Intermediate | Time: 3 hours
Detailed technical information
| Specification | Details |
|---|---|
| Supported Architectures | ARM Cortex-M, ARM Cortex-A, RISC-V, x86-64 |
| Minimum RAM | RTOS: 32KB | Linux: 64MB |
| Minimum Flash/Storage | RTOS: 256KB | Linux: 8MB |
| Real-Time Support | Hard real-time (RTOS) | Soft real-time (Linux RT) |
| AI Framework Support | TensorFlow Lite, ONNX Runtime, Custom Neural Engines |
| Communication Protocols | I2C, SPI, UART, CAN, Ethernet, WiFi, BLE, LTE |
| Security Features | Secure Boot, TEE, Hardware Crypto, Attestation |
Common questions and answers
Access to our codebase is granted to approved contributors. Apply through our internship or careers page, and once accepted, you'll receive repository access.
We recommend using VS Code or CLion with our custom extensions. You'll also need the appropriate toolchain for your target architecture (GCC ARM, RISC-V GCC, etc.).
Our open-source components are available under permissive licenses. Contact us for commercial licensing of proprietary modules and support.
Use our issue tracker on GitHub for bug reports and feature requests. For security vulnerabilities, please use our responsible disclosure process.
Get in touch with our documentation team
Can't find what you're looking for? Our documentation team is here to help. Reach out with questions, suggestions, or feedback.
Contact Documentation Team