Local file search
Searches files on the local machine, which helps keep the workflow close to the data source.
Reference is a local file search tool for AI agents that returns citations from files on the user’s machine. It is designed to keep data local, with no cloud uploads.
Reference is a local file search product built for AI agents that need to look up information in files and cite the source of each result. The product’s core purpose is to make file search usable in agent workflows while keeping data on the local machine instead of uploading it to the cloud.
The site text available here is concise, but it establishes two important points: the product focuses on file search and citation-backed retrieval, and it emphasizes a local-first approach. That makes it relevant for workflows where an agent needs grounded answers from private documents without moving those files into a cloud service.
Searches files on the local machine, which helps keep the workflow close to the data source.
Returns citations alongside search results so AI agents can reference where information came from.
Positioned for use with AI agents rather than only manual document search.
The product explicitly states that files are not uploaded to the cloud.
An AI agent can search local files and cite the supporting source before responding.
Teams that prefer to keep files on device can use a local search workflow instead of uploading documents elsewhere.
Developers can use it as a search layer when an agent needs to pull facts from files.
It lets AI agents search local files and return citations for the information they retrieve.
No. The product text explicitly says there are no cloud uploads.
It is aimed at AI agents and the workflows that need grounded answers from local files.
The collected page text does not include pricing details.
Traffic data is for reference only.
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