Documentation Index
Fetch the complete documentation index at: https://docs.augent.app/llms.txt
Use this file to discover all available pages before exploring further.
Start with local graph
Don’t stare at the full global graph trying to make sense of hundreds of nodes. Open a file you know well, right-click, and choose Open local graph. Set depth to 2 to see second-degree connections. This is far more useful for actual navigation.The graph grows organically
Everytake_notes call adds a new transcription to your memory vault, tags it, and links it to related content. You do not need to maintain the graph manually. Just keep using Augent.
Run rebuild_graph after bulk imports
If you transcribe a batch of files or change tags manually, run rebuild_graph to recompute all [[wikilinks]] and regenerate MOC files. It is idempotent and fast.
Node size reflects connections
Files with more links appear larger in the graph. MOC files and heavily-tagged transcriptions naturally become the biggest nodes, making them easy to spot as topic hubs.Multi-word tags
Tags with spaces (like “Machine Learning”) are automatically hyphenated toMachine-Learning in frontmatter. Obsidian splits bare multi-word tags into separate tags, so hyphenation keeps them as a single node in graph view.
Where your files live
- Notes (from
take_notes) save to~/Desktopby default. The augent-obsidian hard-linker moves them into your vault automatically. - Transcriptions live in
~/.augent/memory/transcriptions/and power the graph view. - Visual frames (from
visual) are saved directly into your vault’sExternal Files/visual/folder.