The OpenAugi plugin transforms voice transcripts into a structured and self-organizing knowledge system using AI-powered workflows. By parsing voice notes or any freeform text, it breaks content down into atomic notes, extracts tasks, and generates summaries with contextual links. Users can also distill groups of linked notes into concise insights, making it ideal for synthesizing research or complex projects. With support for custom processing instructions, it offers flexibility in how information is extracted and organized. This plugin is especially useful for those who think out loud, prefer voice capture, or want to automate second-brain workflows using OpenAI models.
TL;DR
Dynamic model selection with live fetching from OpenAI API, plus cleaner context extraction by hiding dataview queries.
Features
- Dynamic Model Selection: The settings now fetch available models directly from your OpenAI account instead of a hardcoded list. Click "Refresh Models" to update the list anytime.
- Model Caching: Your available models are cached locally so the dropdown loads instantly on subsequent visits.
Improvements
Cleaner Context Extraction: Dataview query blocks are now stripped from the content sent to AI processing, preventing the raw query syntax from cluttering your distilled notes.
How to Use
Go to Settings → OpenAugi → Click "Refresh Models" to load the latest models available to your API key. The dropdown will update with all compatible chat models, sorted with flagship models first.