Vault FAQs

Question 1

Can Vault be integrated with other AI tools?

Accepted Answer

Yes, Vault is exposed as an MCP server, making it compatible with clients like Claude, Cursor, and Windsurf. It also offers a Python library for direct programmatic integration into any Python-based AI application.

Question 2

What kind of validation does Vault perform on notes?

Accepted Answer

Every write or edit operation automatically checks for required frontmatter fields, valid enum values, presence of an H1 heading, and resolution of all `[[wikilinks]]`. Warnings are returned to the agent for potential fixes.

Question 3

What is Vault and who is it for?

Accepted Answer

Vault is a markdown and SQLite knowledge store designed specifically for AI agents to build and maintain an interconnected knowledge base. It uses bidirectional wikilinks to connect notes seamlessly.

Question 4

What are the core features of Vault?

Accepted Answer

Key features include a markdown + SQLite knowledge store, bidirectional wikilinks, full-text search (FTS5) with optional semantic search, a comprehensive API for programmatic management, and automatic validation of note formats and links.

Question 5

How does Vault help AI agents manage knowledge?

Accepted Answer

It provides a structured, git-trackable knowledge base accessible via a robust API, allowing AI agents to programmatically create, edit, delete, rename, search, and traverse notes, ensuring efficient and accurate information management.

Vault

Vault

主要功能

使用案例

主要功能

使用案例