Releases, patent filings, ecosystem announcements, and research updates from the Embedded Operating Systems Research Foundation.
The eAI on-device inference engine and eNI neural interface adapter are now publicly available on GitHub. eAI supports TensorFlow Lite, ONNX Runtime, and custom quantized models on ARM Cortex-M and RISC-V. eNI provides a hardware abstraction layer for neural interface devices including EEG, EMG, and ECoG sensors.
The Embedded Operating Systems Research Foundation has filed a patent application for the HEALTH-BAND Neuro wristband (U.S. Provisional Application No. 64/076,078). The device combines surface electromyography (sEMG) with transcutaneous electrical nerve stimulation (TENS) in a wearable form factor running EmbeddedOS.
Patent application filed for the HEALTH-KEY ULTRA USB-C health monitoring key (U.S. Provisional Application No. 64/073,334). The device measures ECG, SpO₂, heart rate, and skin conductance through a USB-C connector, powered by the EmbeddedOS health firmware stack.
EmbeddedOS announces the AeroSwift aerospace platform — a family of VTOL aircraft powered by the EmbeddedOS avionics stack. AeroSwift Personal is a 1-2 seat personal air vehicle; AeroSwift Transit is a 10-seat urban air taxi. Both run EmbeddedOS with DO-178C-compliant flight software.
EoSim v2.0 ships with support for 63+ embedded boards including STM32, ESP32, nRF52, RP2040, and RISC-V targets. New features include GPIO/UART/SPI/I2C peripheral emulation, GDB integration, and a visual memory map inspector. Available at github.com/embeddedos-org/EoSim.
EoStudio v3.1 is now available. New features include an integrated 3D hardware modeler, an AI-powered code tutor using eosllm, a game editor for EmbeddedOS game development, and improved cross-compilation support for ARM, RISC-V, and MIPS targets.
The EmbeddedOS ecosystem has grown to 22 public repositories covering the full embedded systems stack: kernel, bootloader, IPC, build tools, AI inference, neural interfaces, applications, health devices, aerospace avionics, and developer tools. All repositories are MIT-licensed and available at github.com/embeddedos-org.
eosllm brings large language model inference to resource-constrained embedded devices. Supports quantized models (4-bit, 8-bit), streaming token generation, and runs on devices with as little as 256KB RAM. Designed for edge AI applications in industrial, medical, and consumer electronics.
The 2026 membership cycle opens with three new working groups (Safety-Certified, Embedded AI Ethics, and Neural Interface Standards) and a refreshed governance charter with public TSC voting records.
EoSim 2.4 introduces a bidirectional hardware-in-the-loop bridge via the ezbus USB protocol. Drive simulated EoS images from a real PHY, or drive real boards from a simulated MMIO bus.
Three large RTOS bets for 2026: a tickless scheduler with sub-microsecond wake latency, RT-IPC primitives sharing memory across security domains, and a formally verified context-switch path using TLA+ and Coq.
How the Embedded Neural Interface stack moves a thousand-electrode array through filtering, sorting, and decoding inside a single RTOS frame — and why determinism matters more than throughput.
eDB's new storage layer adds page-level AES-XTS encryption with hardware-key offload on supported MCUs. The cipher fits in 6 KB of code on the smallest target.
An end-to-end tour of eBoot's chain of trust — root-of-trust keys, immutable stage 0, signed manifests, anti-rollback counters, and the runtime attestation hooks eAI consumes during model loading.
EAI's new quantized inference path squeezes a 1.3B-parameter model into 312 MB of flash and runs at interactive speed on a 480 MHz microcontroller. Block-streamed weight loading reduces peak SRAM by 94%.
After eighteen months of incremental releases, the eos-platform meta-distribution reaches 1.0 with stable APIs, a unified package manifest, and reproducible builds across all 52 supported boards.
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