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Hugging Face Announces Open Source Humanoid Robot ‘HopeJR’ and Desktop Unit ‘Reachy Mini’ – GIGAZINE

In 2025-05, Hugging Face, the New York-based company widely recognized as a central hub for open-source artificial intelligence development, made two significant announcements that signal a shift in how consumer and developer-grade robotics are distributed and programmed. The company unveiled HopeJR, an open-source humanoid robot, alongside Reachy Mini, a low-cost desktop unit priced at $299. While the humanoid platform represents a more ambitious hardware direction, it is the desktop robot and its accompanying software ecosystem that have generated the most immediate industry attention.

The Reachy Mini device itself is not entirely new. It debuted in 2025-07, and its origins trace back to Hugging Face's acquisition of Pollen Robotics, a startup that had been developing accessible robotic platforms. According to the source material, approximately 10,000 units of Reachy Mini have been sold since its launch. The robot is described as a stationary desktop unit equipped with camera eyes, a speaker, and a microphone, making it a self-contained interactive device rather than a mobile platform.

What changes the landscape, according to the announcement, is the launch of the Hugging Face Reachy Mini App Store. This storefront hosts a library of over 200 community-built applications, all available for free download. For now, there is no monetization mechanism for app creators — unlike smartphone app ecosystems, where developers can charge for their work, this store currently offers no revenue-sharing or paid-app option. The company has not disclosed whether such a system is planned for the future.

The App Store is not merely a distribution channel. It also serves as a development environment. Reachy Mini owners can build custom applications for their devices using Hugging Face's existing AI-powered agent, referred to in the source material as "ML Intern." This agent is part of a broader toolkit that Hugging Face introduced alongside the App Store.

That toolkit is described as agentic, meaning it leverages AI to automate the software development process. Users describe the behavior they want the robot to exhibit in plain English. The AI agent then writes the code, tests it, and deploys it to the robot. This removes a significant barrier for non-programmers, effectively allowing anyone with a Reachy Mini to become a robot app developer without formal coding training.

Clément Delangue, co-founder and CEO of Hugging Face, is quoted in the source material as saying that these applications "can be built by anyone" as of the launch date. He further explained the philosophical underpinning of the approach: "When the software is open-source, and an AI agent can write the code, the gating that used to come from technical knowledge just disappears."

The company's positioning as "the GitHub of AI" is reinforced by these moves. Hugging Face has long been the go-to platform for hosting and sharing AI models, datasets, and applications, with millions of developers and tens of thousands of companies using its services. The robotics hardware push appears to be a natural extension of this role, moving from purely digital assets to physical embodiments of AI.

In a separate but related development, Hugging Face continues to strengthen its partnerships in the robotics space. The company is collaborating with NVIDIA to bring new models and frameworks to LeRobot, its open-source robotics library. Specifically, NVIDIA Isaac GR00T 1.7 and the NVIDIA Isaac Teleop framework are being integrated into LeRobot. The source material describes Isaac GR00T 1.7 as the first open and commercially viable robot foundation model, designed to facilitate post-training and deployment of models through LeRobot. The companies also indicated that NVIDIA Cosmos 3, described as a frontier model for physical AI, may be added to the platform in the near future, though no specific timeline was provided.

The broader context for these announcements includes a notable success story from the open-source robotics community. Gavriel Cohen, creator of a project called NanoClaw, described how he went from coding on his couch to receiving viral endorsements from prominent figures, including Andrej Karpathy and Singapore's foreign minister, in a matter of weeks. Cohen told TechCrunch that he and his brother and co-founder, Lazer Cohen, received a roughly $20 million acquisition offer, which they declined. The timeline, according to Gavriel, was under six weeks from the first lines of code to a term sheet. Delangue himself reached out to Cohen with a note of appreciation for the NanoClaw project, and Cohen responded by expressing interest in running NanoClaw on Reachy Mini. NanoClaw was originally developed as a secure alternative to OpenClaw, created to assist the Cohen brothers' previous startup, an AI marketing firm that used agents for much of its work.

Why it matters for European robot service

For the European robotics sector, these developments carry implications that extend well beyond the novelty of a $299 desktop robot. The European market has historically been strong in industrial robotics, with major manufacturers based in Germany, Sweden, and Switzerland. However, the service robotics segment — particularly in areas like elder care, education, hospitality, and domestic assistance — has been slower to mature. The Hugging Face approach, which emphasizes open-source hardware and software, low-cost platforms, and AI-generated code, could accelerate that maturation process.

The most significant factor is the removal of the programming barrier. Traditionally, developing a robot application required expertise in robotics middleware, computer vision, motion planning, and hardware integration. The source material notes that, for the entire history of robotics, three things stood between an idea and a working robot: expertise, expensive hardware, and weeks of integration work. Hugging Face's toolkit directly addresses the first and third of these barriers. If the agentic approach works as described, a service provider in, say, a French nursing home could describe a desired behavior — "have the robot remind residents to take medication at scheduled times" — and receive a working application without writing a single line of code.

The cost factor is equally important. At $299, Reachy Mini is priced as a consumer gadget rather than a professional tool. This price point makes it accessible to small and medium-sized enterprises, educational institutions, and hobbyists across Europe, where budget constraints often limit robotics experimentation. The fact that the App Store applications are free further reduces the total cost of ownership. While the source material does not disclose any maintenance costs, spare part pricing, or support terms, the initial investment is low enough to encourage experimentation.

The open-source nature of the platform aligns with European values around transparency and data sovereignty. Unlike proprietary robot platforms that lock users into specific vendors, an open-source robot like Reachy Mini allows operators to inspect the code, modify it, and share their improvements. This is particularly relevant for European organizations that must comply with data protection regulations. The source material does not specify whether Reachy Mini processes data locally or in the cloud, nor does it detail any data handling policies. However, the open-source model at least provides the technical possibility for operators to audit and control what the robot does.

The collaboration with NVIDIA is also relevant for European developers. LeRobot, as described in the source material, is an open-source robotics library for training, running, and sharing robot datasets, models, policies, and workflows. By integrating NVIDIA's Isaac GR00T 1.7 and Isaac Teleop framework, LeRobot gains access to tools designed for humanoid data collection and simulation-based training. This could enable European researchers and developers to work with state-of-the-art models without needing to build their own infrastructure from scratch. The source material does not specify which European organizations are involved in testing or adopting these tools, nor does it disclose any regional availability restrictions.

The success story of NanoClaw offers a cautionary and encouraging tale for European developers. The Cohen brothers, who appear to be based outside Europe based on the source material, demonstrated that a small team can create a widely recognized open-source robot project in a very short time. The viral attention and acquisition interest they received suggest that the market values innovative open-source robotics work. For European developers, this indicates that the barriers to visibility and commercial interest are lowering, though the source material does not provide any European examples of similar success.

What buyers and operators should know

For organizations considering the purchase of a Reachy Mini or the adoption of Hugging Face's robotics tools, several practical points emerge from the source material, alongside several areas where information is not disclosed.

First, the hardware itself is a stationary desktop robot. It is not mobile. Buyers should not expect it to navigate rooms or perform tasks that require locomotion. Its capabilities are centered on interaction — it has camera eyes, a speaker, and a microphone. This makes it suitable for applications involving visual recognition, speech interaction, and physical gestures within a fixed workspace. The source material does not specify the robot's degrees of freedom, payload capacity, or any technical specifications beyond the basic sensor suite.

Second, the price is $299 per unit. The source material states that approximately 10,000 units have been sold since the robot's debut in 2025-07. It does not disclose whether volume discounts are available, whether the price varies by region, or whether there are any subscription fees associated with the App Store or the agentic toolkit. As of the launch, all apps are free, and there is no monetization option for creators. Buyers should be aware that this could change in the future, as the source material notes there is "no monetization option for app creators on this store — yet."

Third, the agentic toolkit requires users to describe behaviors in plain English. The AI agent then generates, tests, and deploys the code. This process is designed to be accessible to non-programmers, but the source material does not provide details on the reliability of the generated code, the testing process, or what happens when the agent fails to produce a working application. There is no information on error rates, debugging support, or whether human oversight is required. Buyers should plan for a learning curve and potential troubleshooting, even with the AI assistance.

Fourth, the App Store currently hosts over 200 applications. The source material does not list any of these applications by name, nor does it describe their functionality. It is unclear whether these apps cover a wide range of use cases or are concentrated in a few categories. Prospective buyers should review the available apps before purchasing to ensure that the robot can perform tasks relevant to their needs. The source material also does not disclose the quality control process for community-submitted apps, so users should exercise caution when installing third-party software.

Fifth, the partnership with NVIDIA brings specific tools to LeRobot. Isaac GR00T 1.7 is described as the first open and commercially viable robot foundation model. Isaac Teleop is a framework for teleoperation. These are integrated into LeRobot, which is Hugging Face's open-source robotics library. For developers, this means access to shared models, data, and workflows for training and evaluating robots. The source material indicates that NVIDIA Cosmos 3 may be added soon, but no date is given. Organizations planning to use these tools should verify compatibility with their existing systems and check the licensing terms, which are not detailed in the source material.

Sixth, the humanoid robot HopeJR was announced, but the source material provides no technical specifications, pricing, availability, or target use cases for this platform. It is unclear whether HopeJR is a production-ready product, a research prototype, or a concept announcement. Buyers interested in humanoid robots should not assume that HopeJR is available for purchase or that it shares any features with Reachy Mini beyond the open-source philosophy.

Seventh, the source material does not disclose any information about warranty, support, repair services, or spare parts availability for Reachy Mini. There are no stated service level agreements, response times, or spare-part lead times. Organizations that require guaranteed uptime or rapid replacement of faulty components should seek additional information from Hugging Face directly before making a purchase.

Eighth, the success of NanoClaw demonstrates that open-source robot projects can attract significant attention and even acquisition offers. However, this is an anecdotal example, not a guarantee of commercial success. The source material does not provide data on the broader ecosystem's growth, the number of active developers, or the financial sustainability of open-source robot projects.

Finally, the source material does not specify any regional restrictions on the sale of Reachy Mini or the availability of the App Store in Europe. It does not mention import duties, taxes, or compliance with European Union regulations such as the Machinery Directive or the AI Act. Buyers in Europe should verify that the device meets local regulatory requirements before deployment.

In summary, the Hugging Face announcements represent a meaningful step toward democratizing robot development. The combination of a low-cost hardware platform, a free app store, and an AI agent that writes code could lower the entry barrier for European service providers, educators, and hobbyists. However, the source material leaves several practical questions unanswered, including technical specifications, support terms, and regulatory compliance. Prospective buyers should treat the available information as a starting point and conduct their own due diligence before committing to the platform.

Published by Vigla Media OÜ (Estonia).