🤖 OpenBiliClaw: Local Cross-Platform Content Discovery Agent

The direction here is quite interesting: building a fully local, cross-platform content discovery agent. Unlike traditional centralized recommendation algorithms, OpenBiliClaw tries to build a self-improving psychological profile based on user dialogue and feedback. It then actively searches for relevant content across platforms like Bilibili, Xiaohongshu, Douyin, and YouTube. The hard part is not necessarily scraping the platforms, but maintaining an accurate, dynamic user preference model locally while ensuring privacy. It acts more like a personal digital curator. While cross-platform data retrieval often faces practical scraping limitations, the concept of shifting the recommendation power back to a local, private agent is an intriguing exploration in current AI applications.