Reference

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.

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Local file search for AI agents

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.

Core capabilities

Local file search

Searches files on the local machine, which helps keep the workflow close to the data source.

Citations

Returns citations alongside search results so AI agents can reference where information came from.

AI-agent oriented workflow

Positioned for use with AI agents rather than only manual document search.

No cloud uploads

The product explicitly states that files are not uploaded to the cloud.

Practical ways to use it

Grounding agent answers in local documents
An AI agent can search local files and cite the supporting source before responding.
Working with private or sensitive files
Teams that prefer to keep files on device can use a local search workflow instead of uploading documents elsewhere.
Building retrieval-based agent tools
Developers can use it as a search layer when an agent needs to pull facts from files.

Pros and Cons

Pros

Keeps file search local rather than requiring cloud uploads.
Provides citations, which is useful for verification and traceability.
Designed for AI-agent workflows.

Cons

The available source text does not describe supported file types or indexing behavior.
Pricing details and plan structure are not shown in the provided page text.
The public content here is limited, so setup and integration details are unclear.