refactoringhq/tolaria
- Source
- GitHub
- First trending
- Category
- Documents
- GitHub stars
- 19,803
- Main language
- TypeScript
This page introduces an external open-source repository. It is not an HDATF product.

What it does
A desktop app for macOS, Windows and Linux for managing markdown knowledge bases. Notes stay plain markdown files, every vault is a git repository, and it works offline with no accounts.
How it helps ATF
Its readme mentions organizing company docs as AI context and storing assistant memory. Its files-first, git-versioned approach is worth comparing with how Company Brain and the ATF Works wiki keep documents.
License
AGPL-3.0 Network copyleft. Offering a modified version as a service also requires releasing the source. Review before any product use.
More in this category
- iamgio/quarkdown
Quarkdown extends Markdown with functions, variables and a standard library for layout, math, conditions and loops. One project can compile into a book, academic paper, knowledge base, presentation or website. - Cocoon-AI/architecture-diagram-generator
A Claude skill that turns a text description of a system into a dark-themed architecture diagram, saved as a standalone HTML file with SVG and buttons to copy or export PNG and PDF. - docusealco/docuseal
An open-source, self-hosted tool for creating PDF forms that people fill and sign online. It offers a WYSIWYG field builder, multiple submitters per document, PDF signature verification, and an API with webhooks. - microsoft/markitdown
MarkItDown is a Python utility that converts files such as PDF, Word, PowerPoint, Excel, images, audio, HTML and ZIP into Markdown for LLMs and text analysis, keeping structure like headings, lists, tables and links. - run-llama/liteparse
A PDF parser that runs locally and extracts text with spatial positions and bounding boxes, without cloud services or LLM features. It bundles Tesseract OCR, can call external OCR servers, and checks whether a document needs heavier parsing.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.