Knowledge arrives as PDFs, office documents, web articles, images, and videos. Saving them somewhere is easy; what has value is the connected form - pages that link related ideas, cite their sources, and stay findable years later. Doing that by hand does not scale past the first busy week.
LibrisVault automates the whole path, across nearly any input channel: a watched folder, drag-and-drop, or anything sent to its Telegram bot from your phone - PDFs, office documents, blog posts and web links, YouTube videos, screenshots, plain notes. Everything is preprocessed and handed to sandboxed Claude Agent SDK sessions that write linked, cited wiki pages into an Obsidian vault. It all runs on your own machine - the vault stays a plain git repository on disk.
A connected vault raises a second problem, because now it knows what it does not know. Its pages end in open questions, point at pages nobody has written yet, and stop short where a stub stands in for an article. Chasing that by hand does not scale either. So LibrisVault also has the Fellows: standing research agents, semi-autonomous Claude Agent SDK instances that each hold a subject and a budget, work at night from what the vault itself says is unanswered, and leave their proposals and results for the morning, where you decide what runs and what does not. The intake fills the vault; the Fellows keep it moving.
The vault format and its ingest skill are claude-obsidian, an MIT-licensed project by AgriciDaniel, used unmodified. LibrisVault is the service layer around it - automated intake, sandboxed agent runs, a job queue, the dashboard - and it extends what the vault holds through documented extension points rather than by editing it: a registry that binds every page to one field of knowledge from a closed list, and a set of rules carried into every run, from English-only content to page hygiene and entity notability.