Ross ROSS = Recommend OSS · open-source software intelligence for agents

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

github.com/whiteguo233/OpenBiliClaw · homepage · Python · MIT (permissive) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
whiteguo233/OpenBiliClawmain77

For agents

markdown · JSON · MCP: product_card(name="whiteguo233/OpenBiliClaw")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem