OpenMind: An open-source operating system and collaborative infrastructure in the field of robotics

The current robot industry is at a critical turning point. Embodied intelligence technology is rapidly developing, and devices in the form of humanoid, quadruped, wheeled, and drones have gradually entered logistics, services, manufacturing, and home scenarios. However, the issue of ecological fragmentation is prominent: hardware manufacturers have closed systems, operating systems are incompatible, and there is a lack of reliable trust mechanisms between machines, making cross-brand collaboration, knowledge sharing, and large-scale application difficult to achieve. This 'intelligent island' limits the formation of network effects and hinders the evolution of robots into true autonomous economic entities.

The OpenMind project addresses the aforementioned pain points by providing a hardware-agnostic solution. Its core components include OM1—the world's first open-source robotic operating system designed specifically for embodied intelligence—and FABRIC—a decentralized coordination protocol based on blockchain, together building a unified cognitive and trust layer for robots.

OM1, as a modular AI-native runtime, supports a unified architecture for multimodal perception (visual, auditory, spatial data), large model inference, and real-time motion control. Whether humanoid robots, quadruped platforms, or educational devices (such as TurtleBot 4), they can connect via plugins to achieve end-to-end autonomous capabilities from perception to planning and execution. The system is designed in Python, fully open source under the MIT license (GitHub: OpenMind/OM1), allowing developers to easily integrate modern AI models and avoid redundant construction of underlying frameworks. In September 2025, OM1 Beta will be officially released, supporting various hardware platforms and launching the Robot App Store, which encapsulates robotic skills as installable, updatable, and distributable applications, further lowering development barriers.

The FABRIC protocol provides decentralized identity verification, verifiable data sharing, task coordination, and value transfer mechanisms for heterogeneous robots. Through cryptographic proofs and stablecoin settlements, robots can securely exchange experiences, negotiate paths, or execute micropayments, forming a mutual trust network of 'machine to machine'. The protocol has been deployed on the Base chain, supporting autonomous identities for robots and on-chain economic activities, facilitating the transition from single devices to distributed intelligent agents.

The project was founded by former Stanford University professor Jan Liphardt, with a team that includes experts in robotics, AI, and distributed systems. In August 2025, it completed a $20 million Series A financing round, led by Pantera Capital, with participation from Coinbase Ventures and other institutions. The company has established partnerships with leading Chinese manufacturers such as Unitree, UBTech, AgiBot, and LimX Dynamics, deploying OM1 across various hardware to promote the global expansion of China’s robotic hardware ecosystem. The first batch of OM1-driven quadruped robots has been delivered for testing, and early validations of the FABRIC network show potential for cross-brand collaboration.

OpenMind's vision is to build an open infrastructure for the robotic era: not to manufacture a single intelligent agent, but to establish the foundational layer for billions of machines to collectively perceive, learn, and collaborate. This path is gradually materializing with the launch of the Robot App Store and more hardware adaptations.

Interested developers can visit the GitHub repository to contribute code; manufacturers and enterprise users can learn about integration solutions through the official website. This project represents an important attempt at embodied intelligent infrastructure, deserving of sustained attention from the industry.

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