The Atomizer plugin enables users to transform large, complex notes into smaller, atomic notes within Obsidian. By leveraging OpenAI's API, the plugin breaks down selected notes into concise and focused fragments that highlight key insights. Each new note is automatically enhanced with frontmatter, including the date and customizable tags, for better organization and context. Users can configure their preferred OpenAI model, such as `gpt-4o-mini`, and initiate the atomization process via a command palette or sidebar icon. Ideal for users who aim to streamline their knowledge management by structuring and distilling information into manageable pieces.

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.