Features / Library

shipped

Local SQLite FTS5 search

Search transcripts, comments, and metadata instantly using local SQLite full-text search.

LibraryUoinkshipped
Local SQLite FTS5 search
Uoink dashboard showing the main library search bar
Uoink dashboard showing the main library search bar
what it does

The user-facing part.

Search your entire corpus in milliseconds. The helper indexes every transcript, comment cluster, and metadata block in a local SQLite FTS5 database. You can run keyword, speaker, channel, or hook queries from your dashboard. Your search queries and index files stay on your machine because the database runs entirely on your local drive.

getting started

Run the loop.

  1. Open the Uoink desktop dashboard.
  2. Click the search bar at the top of the interface.
  3. Type your search query, such as a topic, speaker name, or tool.
  4. View the matching corpus cards with highlighted search snippets.
  5. Click any card to open the markdown file.
behind the scenes

How Uoink handles it.

The helper uses the SQLite FTS5 extension to build a virtual table of all text content. When a new video is captured, the helper parses the markdown file and inserts the text blocks into the search index. The dashboard queries this index via a local HTTP endpoint, returning results and text match positions without internet access.

mcp reference

Agent-readable surface.

search_uoinksget_uoink_corpus

Full server metadata lives at /mcp and /mcp/manifest.json.

try it now

Run it on your next source.

Search across your entire captured library instantly without cloud latency.

Install Uoink