Xiaobei is a multi-agent system designed to automate social media content creation and customer acquisition for small and medium-sized enterprises.
The tool addresses the challenge of managing content production across multiple Chinese social media platforms by automating writing, design, publishing, and analytics workflows. It operates as a conversational agent accessible through WeChat, Feishu, or enterprise WeChat, allowing users to request tasks in natural language. The system handles content creation for platforms including WeChat Official Accounts, Xiaohongshu, Douyin, and video channels, generates short videos for multi-platform distribution, monitors published content performance, and performs competitive analysis by studying viral videos. It includes built-in "expert packs" that encode platform-specific best practices for account setup, content strategy, and performance review. The tool incorporates a Smart Search feature covering eighteen information sources including Xiaohongshu, Douyin, Weibo, Zhihu, Bilibili, Twitter, YouTube, and news outlets, requiring no API key configuration.
Teams managing social media presence across Chinese platforms should consider this tool if they want to consolidate workflows into a single interface and reduce manual content production work. It suits businesses focused on customer acquisition through content marketing rather than those needing only single-platform management. The system's content style DNA feature learns from competitor accounts and evolves production templates based on published performance data, distinguishing it from generic content generation tools.
Development activity shows ongoing refinement of core capabilities. The project maintains synchronization with its upstream OpenClaw framework, incorporating stability improvements to browser automation and installation processes. The expert pack feature represents a shift toward encoding domain-specific workflows rather than generic instructions, with the content producer component specifically designed to address platform algorithm limitations of pure AI-generated content by integrating business materials. Performance monitoring and data-driven template evolution indicate active iteration on the system's ability to adapt to audience preferences over time.
