Ugreen Launches Local-First AI Hub to Reduce Cloud Dependence

Ugreen has officially entered the smart home sector with the HomeAgent ecosystem, a suite of devices designed to process artificial intelligence tasks directly within the user's residence. The primary selling point of this new lineup is a local-first architecture that allows core functions, including storage and security monitoring, to operate without a persistent internet connection. This approach aims to shift control away from third-party cloud servers, giving consumers direct ownership of their data and reducing the dependency on external subscriptions.

The central component is the HomeAgent HA100 hub, which combines on-device AI processing with file management and device control. By handling requests locally, the system can function even when the internet is down, provided the local network remains active. This design choice addresses common frustrations with cloud-based smart homes, such as latency issues and the ongoing cost of cloud storage, offering a more self-contained alternative for tech-savvy households.

Privacy gains come at a cost

The most significant benefit of the Ugreen system is the elimination of recurring monthly fees for video storage and AI processing. All surveillance footage, photos, and device activity logs are stored on the local hub, meaning users do not need to pay for cloud tiers to access their own data. However, this convenience comes with a trade-off: the initial hardware cost is higher than traditional consumer-grade smart cameras. Buyers must invest in more robust local processing power and storage capacity upfront to achieve the level of privacy and independence that the system offers.

Additionally, the local-first model places the responsibility for maintenance and updates squarely on the user. While the system is designed to be self-sufficient, it requires a stable local network environment to function optimally. Users must also manage the physical infrastructure, ensuring that the hub and connected devices have sufficient power and bandwidth. This shift from a service-based model to a hardware-heavy one requires a different mindset from consumers accustomed to plug-and-play cloud services.

Advanced processing power for local AI

For users requiring more complex automation, Ugreen has introduced the MasterAgent MA100, a high-end hub powered by Nvidia Jetson Thor technology. This device offers significantly more computing power than standard smart home hubs, enabling it to run larger AI models locally. According to GN technics/smarthome (en-US), this capability allows for deeper semantic understanding and more sophisticated context-aware control of connected devices, moving beyond simple voice commands to more nuanced interactions.

The ecosystem also includes a range of compatible cameras and smart speakers that integrate with the local AI engine. These devices can identify specific objects, such as pets or packages, and trigger automated responses without sending data to the cloud. The system supports the Matter standard, which ensures compatibility with a wider range of third-party smart home devices, allowing for a more unified local control experience. This integration capability is crucial for users who already have existing smart home setups and wish to consolidate them under a single, privacy-focused umbrella.

Availability and upcoming crowdfunding launch

Pre-orders for the HomeAgent HA100, HA100 Pro, and MasterAgent MA100 are currently available through the Ugreen AIoT Official Store. The company plans to launch a formal crowdfunding campaign on Kickstarter in late 2026, which will likely offer additional incentives for early adopters. This staggered release strategy allows Ugreen to gauge market interest and refine the product ecosystem before a broader consumer launch. For now, the system is targeted at early adopters who value data sovereignty and are willing to invest in a more complex local infrastructure.

As the smart home market evolves, Ugreen’s entry highlights a growing trend toward decentralization and user control. By prioritizing local processing, the company is appealing to a demographic that is increasingly concerned about data privacy and the long-term costs of cloud services. While the system may not be suitable for every household, it represents a significant step toward a more independent and resilient smart home experience.