File Vault FAQs

Question 1

How does File Vault benefit AI models?

Accepted Answer

It provides AI models with a persistent, searchable, and structured external memory. This allows models to access and retrieve specific information, documentation, and personal notes, significantly enhancing their context and enabling more accurate, informed responses.

Question 2

What is File Vault?

Accepted Answer

File Vault is a local-first, file-based knowledge base server designed for AI models like Claude. It enables persistent storage, advanced search, and ingestion of notes and documentation, all managed directly on your machine.

Question 3

What kind of content can I store and manage with File Vault?

Accepted Answer

You can create, update, and manage custom markdown notes with YAML frontmatter, organize them into structured namespaces (global, repos, docs), and ingest entire documentation websites, which are then converted into searchable markdown pages.

Question 4

Can File Vault ingest entire documentation sites?

Accepted Answer

Yes, File Vault features a robust documentation ingestion capability. It can BFS-crawl any documentation website, automatically handling JavaScript-heavy pages with Puppeteer, and store all pages as fully searchable markdown notes within your knowledge base.

Question 5

Is File Vault a local-first solution?

Accepted Answer

Absolutely. File Vault is built from the ground up as a local-first tool. All your knowledge base content, including custom notes and ingested documentation, is stored securely and directly on your local machine in plain markdown files.

File Vault

File Vault

主要功能

使用案例

主要功能

使用案例