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automotive

Open Arsenal provides open, self-hosted software specifications designed for deployment across private and public networks. Built for portability, interoperability, and transparency, each specification gives organizations the freedom to implement and customize solutions without vendor lock-in while remaining free to use under the AGPL-3.0+ license with required attribution. Specification Branding Licenses available upon request.

RegenMatrix is an open-source AI-controlled regenerative energy system for ICE, hybrid, and EV vehicles. It combines modular hardware units with adaptive AI to maximize energy recovery, optimize efficiency, and provide real-time feedback to drivers. Fully retrofit-friendly and community-driven, RegenMatrix learns from driving patterns, road conditions, and fleet data to reclaim wasted energy dynamically, making every drive smarter and more efficient.

Project SynthesisMotion is an open-source AGPL-3.0+ research framework for adaptive motion intelligence systems. It combines real-time vehicle identity modeling, physics-informed dynamics, and adaptive control with a formal safety verification layer. The system is designed to continuously learn how a physical vehicle behaves, adapt to changes in real time, and enforce strict safety constraints during operation.

PathAI – Compliance Made Simple is an open-source AI-powered cloud platform for fleet management. It automatically tracks GPS data to generate compliance reports, optimize routes, predict maintenance needs, and improve driver safety. With real-time alerts, predictive analytics, and automated reporting, PathAI simplifies fleet operations, ensures regulatory compliance, and provides actionable insights for managers and drivers.

GreenMile is an open-source CO₂e calculator that measures and tracks travel-related emissions, with a strong focus on Scope 3 business travel. It provides tools for calculating, visualizing, and reducing carbon output across flights, trains, cars, and other transport modes, while supporting organizations with reporting, analytics, and sustainability insights under an AGPL-3.0+ license.

AIChauffeur is an open-source AI Driving Efficiency Coach designed to retrofit ICE, hybrid, and EV vehicles. It provides real-time driver coaching, predictive energy optimization, and modular integration with regen, HVAC, and accessory systems. AIChauffeur helps drivers maximize efficiency, reduce energy waste, and improve overall driving performance, all while remaining fully open-source and community-driven.

Performance loading and testing workflows targeted at testing AutoSD & RHIVOS builds.

Vehicle Overlay System (VOS) is an open-source AGPL 3.0+ retrofit platform that adds a secure, modular intelligence layer to any vehicle using OBD-II or CAN interfaces. It provides connectivity, AI-driven services, hotspot networking, diagnostics, and V2X communication while remaining fully isolated from safety-critical vehicle controls such as braking, steering, and throttle systems.

The AI and the Automobile collection brings together multiple specifications that define how AI integrates into modern vehicle systems, treating the automobile as a software-defined platform where intelligence spans perception, control, navigation, and energy management. It emphasizes real-time performance, safety-critical architecture, and the transition from purely mechanical systems to continuously evolving software-driven mobility. Across the collection, the specs also describe how automotive AI should be built through open and interoperable systems with strong safety practices, including simulation, validation pipelines, and human-in-the-loop oversight to handle edge cases. Together, they frame vehicle intelligence as a layered system combining autonomy, redundancy, diagnostics, and secure update mechanisms to enable reliable and scalable deployment.

FluxCore Mobility is a modular, edge-first vehicle intelligence system designed to keep all critical AI processing local to the vehicle while enforcing strict, cryptographically validated user consent for any external data sharing. Built under the AGPL 3.0+ license, it prioritizes privacy, transparency, and deterministic safety by separating core driving logic from optional cloud and experimental features. Its architecture ensures that no data leaves the system without explicit, time-bound approval, making it a framework for consent-bound automotive intelligence rather than continuous background connectivity.

LumenAudio is a modular, AI-driven audio mesh for modern vehicles that unifies music, radio, podcasts, and self-hosted media into a single intelligent system. Built around a plugin-based architecture, it integrates paid streaming services and open-source platforms through secure adapters while using voice-first natural language control and context-aware AI to adapt playback to driving conditions, user behavior, and real-time intent.

DrivePass is an open-source, privacy-first vehicle access platform that replaces traditional key fobs with secure, encrypted identity authentication. Designed for retrofit compatibility, it enables lock, unlock, remote start, and vehicle authorization through a zero-trust security architecture with mandatory 2FA, hardware-backed cryptography, and offline-first operation—giving users full control over access to their own vehicles without subscriptions or proprietary lock-in.

Crosswater is an open-source autonomous amphibious vehicle platform designed to operate seamlessly across land and water using electric propulsion, modular hardware, and a fully open autonomy stack. Built under the AGPL-3.0+ license, it provides a shared foundation for developing resilient mobility systems for flood zones, coastal regions, remote environments, and emergency response.

VINGuard is an open-source, VIN-based vehicle transparency platform that helps buyers and sellers access clear, verifiable vehicle history before a purchase is made. It aggregates accident records, title status, ownership history, maintenance logs, and AI-driven fraud detection into a unified transparency score, creating a more trustworthy and data-driven used car marketplace.

Orbital Drive is an open-source regenerative energy framework for electric vehicles that explores how motion, airflow, braking, heat, and solar input can be coordinated into a unified energy recovery system. It is designed for simulation and experimental research into reducing wasted energy in motion through intelligent routing, modular subsystems, and adaptive optimization.

RoadSage is an open-source AI vehicle intelligence system that continuously monitors real-time mechanical signals—such as vibration, sound, pressure, and telemetry—to learn each vehicle’s normal behavior and detect early signs of wear or failure. By combining sensor fusion, time-series modeling, and predictive analytics, RoadSage transforms traditional vehicles into self-monitoring systems capable of identifying issues before they become critical, enabling safer and more proactive maintenance.

KineticKind is an open-source SUV platform designed to make entering and exiting a vehicle safe, comfortable, and dignified through intelligent seat-assist technology. By combining rotating lift seats, accessibility-focused engineering, and a fully open development model, the project reimagines mobility around real human movement rather than mechanical constraints. Built under the AGPL-3.0+ license, KineticKind invites a global community to collaborate on creating more inclusive transportation for everyone.

TrueRoute is an open-source, vehicle-aware navigation and travel intelligence platform that combines routing, real-time road conditions, scenic exploration, and AI-powered trip planning into a single modular system. Built on OpenStreetMap and designed for offline, mobile, web, and in-vehicle use, it adapts routes dynamically based on vehicle size, user intent, weather, and road conditions while turning every trip into a personalized travel experience.

StoneBack is an open-source, repairable rear-vision system designed for real-world vehicles, from passenger cars to industrial and agricultural equipment. Built with a split architecture separating a passive camera head from an interior compute node, it delivers high-quality, full-color imaging with deterministic performance, no cloud dependency, and long-term serviceability. The project prioritizes transparency, durability, and ownership, enabling users to build, modify, and maintain their own vehicle vision systems for decades of use.

FluxGrid Infrastructure is an open-source system for wireless EV charging that turns parking spaces into intelligent energy platforms. Vehicles simply align over an inductive ground pad and charge automatically without cables, while integrated thermal control maintains efficiency in all weather conditions. The system combines hardware, embedded firmware, and grid-level software to manage power delivery, safety, and load balancing in real time.

Beyond charging, FluxGrid is designed as a full infrastructure layer for autonomous mobility. It includes safety intelligence for environmental monitoring and fault prevention, grid optimization for energy distribution, and vehicle-to-grid capability for energy sharing.