whiteguo233/OpenBiliClaw
本地私有、开源的自进化跨平台 AI 内容发现 Agent:先理解你,再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。(支持 deepseek harness 插件) | Local-first open-source cross-platform AI content discovery agent: understands you, then proactively finds content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Weibo and the open web.(support deepseek harness plugin) observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 99
- Release rhythm 87
- Longevity 12
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 179
- days_rel: 7
- days_push: 7
- n_releases_24m: 249
Adoption not part of the score
3048 stars · 148 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
OpenBiliClaw is a local-first, open-source AI content discovery agent that builds a private user profile from cross-platform usage, feedback, and chat, then proactively finds content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Weibo, and the open web. It ships as a Python backend plus a Chrome/Firefox extension, desktop installers, a Flutter mobile client, and a DeepSeek Harness (DSH) plugin.
Use cases
- get personalized video and post recommendations across youtube and bilibili
- discover content matching my interests from xiaohongshu and reddit
- run a private recommendation engine locally without sending data to the cloud
- AI agent that learns my taste and proactively finds content for me
- aggregate recommendations from multiple social platforms in one place
- self-host a privacy-first content discovery assistant
- tune recommendations with likes, dislikes, and chat feedback
When to choose
- you want cross-platform content discovery with all profile data stored locally in SQLite
- you prefer an open-source, self-hosted alternative to platform recommendation algorithms
- you want recommendations that improve from explicit feedback and conversation
- you use DeepSeek Harness and want content discovery integrated as a DSH plugin
When to avoid
- you need a fully managed cloud service with no local setup
- you only want passive algorithmic feeds without providing feedback or chat
- you require officially signed, production-stable desktop builds (current releases are ad-hoc signed experimental pre-releases)
- you need platforms outside its supported sources
Facets
application · maturity active
agent-framework chatbot browser-extension plugin-system self-hosted machine-learning artificial-intelligence large-language-models privacy self-hosted social-media media cross-platform browser browser-extension self-hosted python content-discovery recommendation-agent local-first privacy-first bilibili xiaohongshu douyin youtube deepseek-harness dsh-plugin user-profiling feedback-loop chrome-extension flutter-mobile ai-agents desktop mobile docker
2 sources
- readme: https://github.com/whiteguo233/OpenBiliClaw · fetched 2026-08-28 · cb0e95896ebd
- homepage: https://whiteguo233.github.io/OpenBiliClaw/ · fetched 2026-08-29 · cf5a10ca0298
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| whiteguo233/OpenBiliClaw | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="whiteguo233/OpenBiliClaw")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem