Llmnote

A markdown note taking application optimise for saving and storing outputs from LLM & GPT interactions (prompts, outputs, agent configurations)

About This Project

llmnote is a markdown-based note-taking application built specifically for capturing and storing the outputs of interactions with large language models and GPT-style systems. Rather than serving as a general-purpose notes tool, it focuses on preserving the artefacts of AI work, including prompts, model outputs, and agent configurations, in a plain-text markdown format that remains portable and readable outside the application.

The application's description identifies markdown as its core format, which keeps stored records editable in any text editor and easy to version with standard tools. The README provided for the project is that of MarkText, an unrelated open-source markdown editor, so the specific technologies, editor architecture, and feature set of llmnote could not be confirmed from the supplied material. Any implementation details beyond markdown storage should be verified against the repository itself.

The project may be useful to developers, prompt engineers, and researchers who iterate on prompts and agent setups and need a reliable record of what was tried, what was returned, and which configuration produced it. It could also suit anyone who wants to keep an auditable local history of AI-generated content in a format that does not depend on a hosted service.

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