# OpenBiliClaw

> Self-hosted AI agent that learns your interests locally and proactively finds content from 14+ platforms — all data stays in your SQLite database.

- **Licence:** MIT
- **Latest version:** extension-v0.3.232
- **Open source:** oss
- **Languages:** Typescript, Python
- **Platforms:** macOS
- **Tags:** Cross Platform, Youtube, Privacy First, Local First, LLM, Typescript, Python, Self Hosted, Ai Agent, Chrome Extension, Personal ai, Bilibili, Zhihu, Recommendation System, Dsh Plugin, Deepseek Harness, Dsh, Douyin, Xiaohongshu, Content Discovery

## Description

OpenBiliClaw is a personal content discovery agent that runs entirely on your own hardware. Unlike platform algorithms that optimize for engagement, it builds a deep psychological profile from your cross-platform behavior, feedback, and conversations, then proactively searches across 14+ sources including Bilibili, Xiaohongshu, Douyin, YouTube, TikTok, X (Twitter), Zhihu, Reddit, Linux.do, Bangumi, V2EX, Weibo, GitHub, Instagram (experimental), and the open web. The backend is a Python 3.11+ FastAPI service with a browser extension (Chrome/Firefox) that handles platform authentication and signal collection. All data — profiles, recommendations, chat history, and embeddings — stays in a local SQLite database. You provide your own LLM API keys (OpenAI, Anthropic, DeepSeek, Ollama, etc.) and can optionally run a local Ollama + bge-m3 embedding model for fully offline operation. The UI is accessible via desktop web (port 8420), mobile web (PWA), a Flutter native app (separate repo), or as a DeepSeek Harness plugin. Installation options include desktop installers, Docker Compose, a one-line install script, or manual source setup. The project is MIT-licensed and actively developed by a solo maintainer.

## Links

- [Homepage](https://github.com/whiteguo233/openbiliclaw)
- [Website](https://whiteguo233.github.io/OpenBiliClaw/)
- [Docker](ghcr.io/whiteguo233/openbiliclaw-backend)

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Source: https://selfhost.directory/project/openbiliclaw