OpenBiliClaw
Local-first, cross-platform, self-evolving AI content discovery agent based on psychological profiling
3k MIT Author whiteguo233 Updated
Install
dsh plugin --profile web add github:whiteguo233/OpenBiliClaw Screenshots 5
What it solves
OpenBiliClaw addresses the platform-centric and filter bubble issues of traditional recommendation systems. Instead of relying on collaborative filtering, it uses a local AI agent to deeply understand the user (building a five-layer psychological profile) and proactively discovers content across platforms (Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, etc.) that the user might like but has never encountered. All data remains 100% local, ensuring privacy.
Who it’s for
- Users who prioritize privacy and want local data storage
- Users who consume content across multiple platforms (Bilibili, Xiaohongshu, YouTube, etc.)
- Users who want to break out of filter bubbles and discover new interests
- Developers who want to integrate personalized content discovery into the DeepSeek Harness workflow
Tags Agent
Compiled from the project README · All rights belong to the original author
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