A local-first bookmark manager that uses natural language search and spaced repetition to turn saved links into an active knowledge base.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install link-brain
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install link-brain using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Link Brain?
Link Brain is a robust, privacy-focused solution for managing digital resources without relying on cloud services or telemetry. By functioning as a personal knowledge base for links, it allows users to save URLs with automatically generated summaries, titles, and tags stored entirely within a local SQLite database. This tool is designed to prevent the common problem of the "bookmark graveyard" by implementing an active review system.
Integrating this tool with Openclaw Skills provides a developer-friendly way to organize research, documentation, and inspiration. It features a standalone HTML graph view to visualize connections between saved content and a built-in GUI console for an interactive management experience. Everything stays on your disk, ensuring your data remains private and accessible even without an internet connection.
Link Brain Use Cases
- Managing a growing backlog of technical articles using spaced repetition to ensure long-term retention.
- Centralizing bookmarks from multiple browsers like Chrome, Safari, and Firefox into a single searchable source.
- Generating curated reading lists and collections for specific projects or learning paths.
- Searching through thousands of saved links using natural language filters rather than rigid folder structures.
- Visualizing the relationships between different topics and domains via an interactive knowledge graph.
How Link Brain Works
- The skill captures URLs manually or via an automated process that fetches page content and extracts readable text.
- Metadata including titles, summaries, and tags are indexed using SQLite FTS5 for high-performance full-text search.
- A spaced repetition algorithm assigns review intervals (1, 3, 7 days, etc.) to every saved link to encourage active recall.
- Local browser files are scanned to import existing bookmarks from Chrome, Firefox, and Safari without requiring manual exports.
- The system generates static HTML files for the GUI and knowledge graph, allowing for browser-based interaction with local data.
Link Brain Setup
To initiate the environment for your Openclaw Skills, use the quickstart command to automate database creation and browser importing:
python3 scripts/brain.py quickstart
For a manual configuration that detects local browsers without auto-importing, run:
python3 scripts/brain.py setup
All data is stored by default in ~/.link-brain/. You can override this location by setting the LINK_BRAIN_DIR environment variable.
Link Brain Data Schema & Taxonomy
Link Brain organizes all data within a specific directory to ensure portability and easy backups.
| Component | Format | Description |
|---|---|---|
brain.db |
SQLite | Stores all link metadata, tags, reading history, and full-text search indexes. |
graph.html |
HTML/JS | A standalone interactive visualization of your knowledge graph. |
console.html |
HTML/CSS | A local web GUI for searching and managing your link collection. |
collection-*.md |
Markdown | Exported reading lists for documentation or sharing. |
Link Brain Advanced Features
- Local-only summarization that extracts page content without requiring external LLM API keys.
- Advanced search syntax supporting time-based filters (e.g., "last week") and reading states (e.g., "unread").
- Spaced repetition queue with stats to track overdue reviews and prevent reading rot.
- Automatic tag suggestion engine based on your existing vocabulary and saved patterns.
- Detailed reading analytics, including activity streaks, top domains, and weekly digest generation.
SKILL.md
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