Mindolph is a desktop knowledge management application built with JavaFX. It provides integrated support for mind maps, markdown, PlantUML diagrams, and CSV files, along with AI-powered features such as text reframing, summarization, and chat via various LLM providers. The application features a modular architecture with core, base, FX, and domain-specific modules, an event-driven communication system, a plugin/extension system for mind map operations, and a preference management system. Users can manage workspaces, search within files, and use reusable snippets.
Promnesia is a browser extension (Chrome/Firefox) paired with a Python backend that enriches browsing history with contextual metadata from personal data sources. The backend indexes visits from browser history, bookmarks, chat logs (Telegram, Signal, etc.), social media (Reddit, Twitter, Hacker News), note-taking apps (Hypothesis, Pocket, Instapaper), and plaintext files into a SQLite database. A FastAPI server exposes endpoints (`/visits`, `/search`, `/visited`) that the extension queries to annotate visited links and display a sidebar with visit context, timestamps, and highlights. The system uses URL normalization (canonical URLs) to deduplicate visits across sources and supports user-defined filtering and hooks. The architecture is split into a Python CLI (`promnesia index` / `promnesia serve`), a TypeScript browser extension built with Rollup, and Docker containers for automated indexing. While the core is a personal data application, it also serves as a data pipeline for aggregating and querying personal activity, giving it a hybrid character.