I built a local-first bookmark manager that actually remembers what you saved

Описание и применение

Linkit преобразует обычные URL в поисковую, суммарную и взаимосвязанную базу знаний, улучшая воспоминание и уменьшая беспорядок, при этом сохраняя данные локально и приватно.

Задача

Users save links quickly but struggle to find them later because browser bookmarks only store URLs, lacking summaries, semantic search, and duplicate detection.

Результат

Linkit transforms raw URLs into searchable, summarized, and interconnected knowledge, improving recall and reducing clutter while keeping data local and private.

Рабочий процесс

• 1. Install Linkit via Homebrew or download binaries.
• 2. Import bookmarks from browsers with one click.
• 3. When a link is saved, the app fetches the page, generates a summary and key takeaways using an OpenAI-compatible API or local Ollama model.
• 4. The content is indexed for vector similarity search.
• 5. Duplicate URLs and near-duplicates are detected and can be merged with one click.
• 6. Background scans check for 404s and silent changes.
• 7. Users can create AI-curated collections by describing a goal in plain language.
• 8. The knowledge graph visualizes relationships between bookmarks via tags, collections, and semantic similarity.

Доказательства

A browser bookmark stores a URL and nothing else.

Источник

Linkit works on the saved content instead.

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All bookmarks live in a local SQLite database on your machine.

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If you want multi-device sync, there's an optional Supabase backend with row-level security where every record is bound to your own auth.uid()

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