kb-vacuum

To extract URLs from markdown notes and post them to a server, you can automate the process using Python scripts to parse files and perform HTTP requests for batch posting to LuminaVault.

Batch posting URLs to LuminaVault works by scanning markdown notes for unseen HTTP(S) hyperlinks and submitting them in batches to the server, feeding the enrichment pipeline for Hermes memory compilation.

Yes, you need Python to process markdown files and automate URL extraction, as the Skill relies on Python scripts alongside the requests and markdown libraries to parse notes and perform HTTP requests.

The best way to integrate local markdown knowledge bases with an AI memory system is to automate batch posting of extracted URLs to LuminaVault, ensuring external information is fed into the Hermes memory compilation pipeline.

Yes, you can scan a specific folder for URLs to enrich your AI knowledge base by running the Skill with your target directory, defaulting to 'raw/', to extract and post hyperlinks to the LuminaVault server.

A limitation when posting unseen URLs from local markdown files is that the Skill is designed strictly for extracting HTTP(S) hyperlinks and requires the LuminaVault server endpoint to successfully complete the memory compilation integration.