The rapid rise of OpenClaw (formerly CrawdBot/MoltBot) has positioned it as one of the most closely watched open-source AI agent frameworks of 2026. With GitHub stars surpassing 167,000 and growing industry attention worldwide, OpenClaw is quickly evolving from a community-driven project into a catalyst for broader ecosystem innovation.

ThunderSoft, a global leader in AIOS and edge AI technologies, today announced the successful full-stack adaptation and scalable deployment of OpenClaw across two of its core platforms: RUBIK Pi 3 and AIBOX.

Rather than a basic framework port, ThunderSoft has delivered scenario-validated, production-ready solutions based on a dual-architecture strategy:

• Edge-cloud collaboration for lightweight compute scenarios
• Fully autonomous on-device execution for high-performance environments

This differentiated deployment model addresses the critical challenges of AI agent industrialization, including system integration, compliance, latency, and scalable orchestration across diverse application domains.

RUBIK Pi 3: Edge-Cloud Collaboration for Developer Ecosystems and Productivity Scenarios

RUBIK Pi 3, ThunderSoft’s AI open hardware development kit, is powered by Qualcomm QCS6490 and delivers stable 12 TOPS of AI compute performance. The platform supports local deployment of 1.8B-parameter models and runs an optimized Ubuntu 24.04 LTS image with official Canonical support, providing a robust Linux foundation for edge AI workloads.

On this platform, ThunderSoft completed deep system-level optimization of OpenClaw, enabling stable on-device execution and multi-device orchestration.

In a demonstrated productivity scenario, a single natural language instruction—such as planning a product launch event, generating a media list, drafting a proposal, and preparing presentation materials—triggers coordinated execution across multiple RUBIK Pi 3 units.

Each board functions as an independent compute node. OpenClaw dynamically distributes task roles across the cluster, enabling parallel execution and real-time synchronization. Tasks including media database structuring, strategy drafting, and presentation generation are completed collaboratively without manual orchestration.

This architecture lowers the barrier for developers, technology enthusiasts, and enterprise users to experiment with and deploy distributed AI agent systems, while maintaining greater control over data and infrastructure.

A step-by-step OpenClaw deployment guide for RUBIK Pi 3 is now available in the official documentation.

AIBOX: Fully On-Device AI Agent Deployment for Intelligent Vehicles

For safety-critical and compliance-sensitive environments such as intelligent vehicles, ThunderSoft’s AIBOX platform adopts a fully on-device execution architecture, enabling complete offline deployment of OpenClaw with millisecond-level response and full data privacy protection.

As ThunderSoft’s flagship edge AI computing platform, AIBOX delivers 100–200 TOPS of scalable AI performance, supported by AIOS-level system optimization. The platform enables stable real-time execution of 7B-parameter models and beyond within the vehicle environment, overcoming the compute constraints of traditional cockpit chipsets.

Through dynamic compute scheduling and multimodal perception integration, OpenClaw agents can efficiently execute complex tasks while integrating seamlessly with the cockpit domain—without requiring changes to the vehicle’s electronic and electrical architecture.

In a charging optimization scenario, OpenClaw leverages AIBOX’s local storage and compute capabilities to analyze historical charging patterns and vehicle energy consumption data. By combining modular skill-based plugins with time-of-use electricity pricing data, the system generates optimized charging strategies while ensuring all sensitive data remains locally processed within the vehicle.

This closed-loop, on-device architecture aligns with automotive-grade requirements for privacy, compliance, and deterministic performance.

A Dual-Platform Strategy for Scalable AI Agent Deployment

By integrating OpenClaw across RUBIK Pi 3 and AIBOX, ThunderSoft has established a differentiated deployment framework spanning developer experimentation, lightweight commercial productivity, and automotive-grade intelligent systems.

Cloud-assisted architectures unlock upper-bound intelligence capabilities, while edge-closed-loop systems ensure compliance, latency control, and privacy protection.

Together, these platforms provide a practical pathway for AI agents to transition from open-source innovation to scalable industrial deployment.

Jerry Yang, Vice President of ThunderSoft, commented:

“The core competitiveness of AI agents lies in their ability to operate reliably within real-world scenarios. Leveraging our full-stack expertise in operating systems and edge AI, ThunderSoft has established scalable and replicable deployment models for OpenClaw across RUBIK Pi 3 and AIBOX. We will continue to deepen collaboration with global open-source ecosystems and drive high-quality industrial adoption of AI agent technologies through sustained innovation.”