Letta has shared an update.
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The company highlighted a new use case for its terminal-based AI assistant, Letta Code, demonstrating how it can be used to manage and structure an Obsidian knowledge vault. Obsidian stores notes as markdown files, and Letta Code can edit text files in folders, enabling the AI agent to progressively learn the vault’s structure and support workflows such as setting up a Zettelkasten system, extracting concepts from blog posts, building backlinks, and creating reusable skills.
For investors, this update underscores Letta’s strategy to broaden its addressable market beyond software development into knowledge management and productivity tooling. By integrating with a popular note-taking ecosystem like Obsidian and showcasing persistent, stateful agent capabilities, Letta may improve user engagement and differentiation in the crowded AI assistant space. While the post does not disclose monetization details, successful adoption of this workflow could translate into higher usage among knowledge workers and creators, supporting potential future revenue growth and strengthening Letta’s position within the workflow-automation and AI productivity niche.