LiquidOS
The Future AI Stack for robotics, healthcare, and edge AI
LiquidOS Overview
LiquidOS is a fully open-source stack designed to empower the future of agentic AI, robotics, healthcare, and edge AI. It addresses the critical pain points of current AI infrastructure, such as cloud dependency, edge limitations, fake hybrid solutions, and security trade-offs. The platform offers a true hybrid deployment model, combining the power of Rust for unmatched safety and performance with ambient intelligence that works everywhere. Target audiences include developers, enterprises, and professionals in robotics, healthcare, and AI who need scalable, secure, and high-performance AI solutions. LiquidOS provides the foundational building blocks for intelligent systems that work seamlessly across cloud and edge environments.
LiquidOS Screenshot
LiquidOS Official screenshot of the tool interface
LiquidOS Core Features
True Hybrid Deployment
LiquidOS enables seamless AI deployment across cloud and edge environments, allowing intelligent agents to operate efficiently regardless of internet connectivity. This ensures faster response times and continuous operation even when offline.
Rust-Powered Performance
Built entirely in Rust, LiquidOS delivers unmatched safety and performance. Rust's memory safety guarantees make it ideal for high-stakes environments like healthcare and robotics, while its performance optimizations ensure blazing-fast execution on any hardware.
Ambient Intelligence
LiquidOS brings intelligence to every environment, enabling AI to flow dynamically between cloud and edge based on need. This ambient intelligence model ensures optimal performance and responsiveness without compromising on security or functionality.
Open Source Innovation
As a fully open-source stack, LiquidOS fosters collaboration and innovation within the developer community. This transparency ensures continuous improvement and customization, making it a versatile solution for diverse AI applications.
AutoAgents Library
The AutoAgents library showcases the capabilities of LiquidOS, offering autonomous reasoning, multi-agent coordination, and memory-safe execution. It provides a production-ready foundation for building sophisticated AI systems with minimal complexity.
LiquidOS Use Cases
Robotics
LiquidOS enables robots to operate autonomously with real-time decision-making capabilities, leveraging edge AI for low-latency responses and cloud AI for complex computations.
Healthcare
In healthcare, LiquidOS ensures secure and efficient AI deployment, allowing sensitive data to be processed locally on edge devices while leveraging cloud resources for advanced analytics.
Edge AI
LiquidOS makes it possible to run powerful AI models on edge devices like Raspberry Pi, overcoming traditional limitations and enabling intelligent applications in resource-constrained environments.
How to Use LiquidOS
Join the waitlist on the LiquidOS website to gain early access to the platform and stay updated on new releases and features.
Explore the AutoAgents library on GitHub to understand the core functionalities and start experimenting with the Rust-powered AI agents.
Use the 'cargo add autoagents' command to integrate the AutoAgents library into your development environment and begin building intelligent agents.
Deploy your AI agents across cloud and edge environments using LiquidOS's hybrid architecture, ensuring optimal performance and reliability.