qmd

You can search Markdown knowledge bases by using a local search engine that indexes notes and documentation for rapid discovery. It allows you to quickly locate specific text, function signatures, or policy paragraphs across local repositories.

Markdown search supports MCP integration and CLI tools for querying, indexing, and retrieval. It also provides HTTP API support for remote or embedded search capabilities across your local knowledge sources.

Yes, you need npm to install the qmd CLI globally to search your Markdown notes. Once installed, you can run a simple query to locate information across your local Markdown knowledge base.

The best way to locate a function signature across large documentation files is using a fast local search engine for Markdown content. It enables rapid discovery of specific information across Markdown knowledge sources.

Yes, you can use an HTTP API to query Markdown documentation remotely. The search capability provides HTTP API support for embedded or remote retrieval across Markdown knowledge sources.

You need a local search engine for Markdown content when you must quickly and accurately search across Markdown knowledge bases, notes, and documentation. It is applicable for rapid discovery in development and research contexts.