AIbaseSource publication

Xiaomi released the 150-yuan open-source hardware HachimoDock, creating a versatile AI desk pet and desktop agent controller.

On the afternoon of October 26th, at the 2026 Guancha Conference, the Xiaomi Technology Committee’s innovative product team officially launched the open-source AI hardware HachimoDock. The cost of manufacturing this device is approximately 150 yuan, aiming to lower the barrier to entry for AI hardware and make it a desktop-level innovative product that anyone can use to get started with Vibe Coding.

On the afternoon of October 26th, at the 2026 Guancha Conference, the Xiaomi Technology Committee’s innovative product team officially launched the open-source AI hardware HachimoDock. The cost of manufacturing this device is approximately 150 yuan, aiming to lower the barrier to entry for AI hardware and make it a desktop-level innovative product that anyone can use to get started with Vibe Coding.

HachimoDock features a compact design, with deep integration of core capabilities such as desktop pets, voice-controlled computer agents, smart home coordination, and custom component creation. Through an open software mechanism, users can interact with AI using natural language, and generate and operate various components like quick voice microphones, mini game consoles, FM radios, computer status sub-screens, and smart home control centers on the fly, enabling personalized customization of the desktop environment.

At the interaction level, the device supports direct distribution of complex tasks such as research, file organization, and code writing to agents like Codex and WorkBuddy on the computer side. It also provides real-time feedback on progress via dynamic expressions and status indicators on the screen. Meanwhile, the product deeply integrates with Xiaomi Miloco, expanding the control interface for smart home management on the desktop platform.

Currently, HachimoDock has opened up all of its software source code, hardware bill of materials, structural model files, and assembly tutorials on GitHub. The launch of this project marks a new stage in low-cost edge AI hardware development. By giving users control over the hardware definition, it further accelerates the adoption of natural language-driven interconnection and the desktop AI ecosystem.

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