Trove FAQs

Question 1

What is Trove and what problem does it solve?

Accepted Answer

Trove is a local-first application designed to unify and enable semantic search across all your scattered digital content. It solves the problem of finding specific information across GitHub repositories, local files, screenshots, and videos by indexing everything into one searchable interface, instantly and privately.

Question 2

What types of content can Trove index and search?

Accepted Answer

Trove can index and semantically search a wide range of content, including GitHub repositories, local files (code, documents, media like images and videos), and more via its extensible plugin connectors. It supports various file extensions like .md, .ts, .rs, .png, .mp4, and .pdf.

Question 3

Does Trove ensure my data privacy?

Accepted Answer

Absolutely. Trove is built with a zero-cloud, local-first architecture. All your content, indexes, and data remain securely on your local machine, ensuring complete privacy and control without sending anything to the cloud.

Question 4

How does Trove integrate with AI assistants like Claude Code?

Accepted Answer

Trove functions as an MCP (Multi-Content Protocol) server, allowing seamless integration with AI assistants. For example, you can connect Trove to Claude Code to enable your AI assistant to semantically search your local files and repositories directly from your IDE.

Question 5

Can I extend Trove to index custom content sources?

Accepted Answer

Yes, Trove offers a customizable connector SDK that allows developers to write their own plugins. This enables you to create new connectors to index virtually any custom content source, making Trove highly extensible for your specific needs.

Trove

Trove

Key Features

Use Cases

Key Features

Use Cases