The AI glasses market is moving towards deeper customization. On February 11, 2026, Rokid officially announced the launch of the **"Customizable Agent"** feature for its AI glasses Rokid Glasses, which are equipped with a display. This move breaks the closed-loop ecosystem of traditional AI hardware, allowing developers to directly "install" cutting-edge private models into the glasses.

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Deep Customization: The "Ticket" for Private Large Models and Open-Source Frameworks

The core of this feature update lies in "openness" and "connection":

Wide Model Compatibility: Developers can integrate popular models such as DeepSeek R1, Qwen3, and Kimi K2.5 that are privately deployed into the glasses system through standardized interfaces.

Native Support for Open-Source Frameworks: It supports direct integration with the OpenClaw open-source framework, giving the glasses stronger logical processing capabilities.

Stable Technical Foundation: This feature is based on the SSE (Server-Sent Events) communication protocol, ensuring real-time and stable command transmission.

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Lim Zhu Platform Empowerment: Developers Need Only Three Steps

To make it easier for developers, Rokid also optimized the accompanying development process:

Register to Get API: Obtain development permissions on the Rokid Open Platform.

Create and Configure: Create a custom agent and configure the URL authentication key via the Lim Zhu Platform.

Private Deployment: Smart agents created by individual developers support unreviewed private deployment, greatly shortening the development cycle.

Application Scenarios: From Voice Conversations to "Controlling Reality"

By integrating the OpenClaw framework, the capabilities of Rokid Glasses have been greatly expanded:

Localized Data Loop: Supports more secure localized data processing.

System-Level Control: Users can use voice commands to make the glasses perform browser operations, read the file system, or even run Python scripts.

Expert Advice: Technological Benefits Come with Security Responsibilities

Although this feature offers great imagination space for AI enthusiasts, Rokid also emphasized the technical barriers and security standards:

Performance Requirements: It is recommended to deploy using cloud servers with at least 2 cores and 4GB RAM, and it is not recommended to use low-security internal network penetration solutions.

Responsibility: Users are responsible for the data security and compliance of their custom agents and must strictly follow cyber security regulations.

As a company founded by Zhu Mingming, former head of Alibaba's M Studio, Rokid