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OpenBiliClaw

A local-first, cross-platform AI content discovery agent that builds deep psychological profiles to proactively find content you'll love.

  • Full stack
  • AI coding
  • Automation
  • Productivity
  • Browser extension
  • Desktop
  • Web
  • Windows
  • macOS
  • Linux
  • Browser
  • Self-hostable
  • Runs locally
  • Docker supported
  • Needs API key
Open websiteView on GitHub
OpenBiliClaw screenshot
Popularity
3.0k Stars
GitHub stars
Recent activity
8/22/2026
Updated in the last 30 days
License
MIT
Permissive

Why it matters

We look beyond stars: what problem it solves, whether it creates real utility, and what makes its approach worth noticing.

Last 90 days

Problem

Addresses the issue of mainstream content platforms prioritizing platform interests, which leads to filter bubbles and fragmented cross-platform user interests.

Practical value

Utilizes local SQLite for storing user profiles and behavioral data, supports cross-platform content aggregation, and provides recommendation explanations based on psychological profiling, offering practical personalized content discovery.

Innovation / differentiation

Introduces a five-layer soul-profiling mechanism that uses psychological logic rather than simple tag matching for cross-platform content exploration, with support for integration as a plugin into DeepSeek Harness.

Leverage potential

The architecture uses browser extensions for data collection and a local desktop application as the processing core, supporting various LLMs via API, offering good extensibility and composability.

Why now

User fatigue with algorithmic recommendations is increasing, and the technology stack for local-first and personal AI agents has matured, placing this in an upward trend for personal information management tools.

Community activity

In the last 90 days there were 98 new issues and 63 pull requests; the bounded issue/PR samples include 56 issue authors and 23 PR contributors, with at least 50 releases.

Maintainer responsiveness

The 95-issue window sample had a 84% close rate, and the 63-pull-request sample had a 71% merge rate. Maintainer-response observations covered 46% of that issue sample, with a 57% response rate and median first response of 22.7 hours.

23 contributors in PR sampleAt least 50 releasesIssue response rate 57% · sample 44 (46% coverage)Median first response 22.7hPR merge rate 71% · 63 sampled in window

Key highlights

  • Discovers content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Linux.do, Bangumi, V2EX, Weibo, and the open web
  • Builds a five-layer psychological profile (event, preference, awareness, insight, soul) based on behavioral analysis
  • Stores data locally in SQLite and supports user-configured LLM API keys

Quick start

How it is installed, how hard it is, and where to start.

Where it runs

Runs locally

Difficulty

Medium — some setup needed

Docker supportedSelf-hostableRuns locally
  1. 01Install the browser extension from the Chrome Web Store or GitHub Releases.
  2. 02Download and run the desktop backend installer, or deploy the backend using an AI coding assistant.
  3. 03Log in to your target content platforms (e.g., Bilibili, Xiaohongshu) in your browser to initialize data collection.
  4. 04Access http://127.0.0.1:8420/web to view your personalized content recommendations.

Best for

  • Teams that want data on their own servers
  • Developers who want to try it on their machine
  • People who prefer Docker deploys

More about it

OpenBiliClaw is a local-first AI content discovery agent. By analyzing user behavior across platforms like Bilibili, Xiaohongshu, and YouTube, it constructs a five-layer psychological profile—covering cognitive styles and deep-seated needs—to proactively discover content you might enjoy, rather than relying solely on platform-specific recommendation algorithms.

Sources

Each field shows its status and source — expand to review.

15 · Expand

  • capability tags

    Verified

    ai_coding, automation, productivity

    Source: admin_cms · cms editor · 8/20/2026

  • editor note

    Verified

    {"en":"The project uses browser extensions to collect behavioral data and runs a local backend for profiling and content retrieval, enabling cross-platform personalized recommendations. It is suitable for power users who want to bypass platform-specific algorithms while maintaining data privacy.","zh":"该项目通过浏览器插件采集行为数据，并在本地运行后端进行画像分析与内容检索，实现了跨平台的个性化推荐。适合希望摆脱单一平台算法限制、注重隐私且有一定动手能力的深度内容消费者。"}

    Source: admin_cms · cms editor · 8/20/2026

  • how to use

    Verified

    {"steps":[{"en":"Install the browser extension from the Chrome Web Store or GitHub Releases.","zh":"从 Chrome 应用商店或 GitHub Release 安装浏览器插件。"},{"en":"Download and run the desktop backend installer, or deploy the backend using an AI coding assistant.","zh":"下载并运行桌面端后端安装包，或通过 AI 编程助手部署后端。"},{"en":"Log in to your target content platforms (e.g., Bilibili, Xiaohongshu) in your browser to initialize data collection.","zh":"在浏览器中登录目标内容平台（如 B 站、小红书等）以初始化数据采集。"},{"en":"Access http://127.0.0.1:8420/web to view your personalized content recommendations.","zh":"访问 http://127.0.0.1:8420/web 查看个性化推荐内容。"}],"installAt":"local","difficulty":"medium"}

    Source: admin_cms · cms editor · 8/20/2026

  • intro

    Verified

    {"en":"OpenBiliClaw is a local-first AI content discovery agent. By analyzing user behavior across platforms like Bilibili, Xiaohongshu, and YouTube, it constructs a five-layer psychological profile—covering cognitive styles and deep-seated needs—to proactively discover content you might enjoy, rather than relying solely on platform-specific recommendation algorithms.","zh":"OpenBiliClaw 是一个本地优先的 AI 内容发现 Agent。它通过分析用户在不同平台（如 B 站、小红书、YouTube 等）的浏览行为，构建包含认知风格与深层需求的五层心理画像，从而主动跨平台搜寻用户可能感兴趣的内容，而非仅仅依赖单一平台的推荐算法。"}

    Source: admin_cms · cms editor · 8/20/2026

  • Latest release

    Verified

    openbiliclaw-v0.3.209

    Source: GitHub API · latest_release=openbiliclaw-v0.3.209 · 8/22/2026

  • License

    Verified

    MIT

    Source: GitHub API · license.spdx_id=MIT · 8/22/2026

  • needs api key

    Verified

    Yes

    Source: admin_cms · cms editor · 8/20/2026

  • One-liner

    Verified

    {"en":"A local-first, cross-platform AI content discovery agent that builds deep psychological profiles to proactively find content you'll love.","zh":"一个本地运行的跨平台 AI 内容发现 Agent，通过深度心理画像主动为你从各大主流平台寻找感兴趣的内容。"}

    Source: admin_cms · cms editor · 8/20/2026

  • Platforms

    Verified

    windows, macos, linux, browser

    Source: admin_cms · cms editor · 8/20/2026

  • Category hint

    Inferred from materials

    ai-apps

    Source: Project README · hint=ai-apps · 8/15/2026

  • product forms

    Verified

    browser_extension, desktop, web

    Source: admin_cms · cms editor · 8/20/2026

  • role tags

    Verified

    fullstack

    Source: admin_cms · cms editor · 8/20/2026

  • supports docker

    Verified

    Yes

    Source: Repository file · dockerfile=true; compose=true · 8/22/2026

  • supports local

    Verified

    Yes

    Source: admin_cms · cms editor · 8/20/2026

  • supports self host

    Verified

    Yes

    Source: admin_cms · cms editor · 8/20/2026

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