Note-taking and PKM

Marktext is a cross-platform desktop application designed for markdown document authoring and structured note-taking. It functions as a WYSIWYG text processor, providing a distraction-free interface that renders formatted content in real-time while hiding the underlying markup syntax. The application utilizes a multi-process architecture that separates system integration from the user interface, ensuring consistent performance across Windows, macOS, and Linux. By employing a custom editor core built on native browser capabilities and a structured syntax tree, it manages complex document elements such as mathematical expressions, diagrams, and code blocks. The software includes a plugin-based extension system that allows for the injection of custom functionality and interface components. It is distributed as an open-source project, maintaining a consistent environment for technical documentation and personal knowledge management.

Joplin is an open-source, cross-platform note-taking application designed for secure, private knowledge management. It functions as a local-first productivity platform, maintaining a complete relational database on the user's device to ensure offline availability and high-performance data retrieval. The application prioritizes data sovereignty by implementing an end-to-end encryption layer, which secures all information locally with a master key before any synchronization occurs. The platform distinguishes itself through a delta-based synchronization engine that transmits only specific file changes, optimizing performance across multiple devices and operating systems. Users can extend the core environment through a plugin-based architecture that supports custom themes, scripts, and UI components. For professional or collaborative environments, the software offers self-hosted synchronization options and team management capabilities, allowing organizations to maintain full control over their data infrastructure and security policies. Beyond core note-taking, the application supports rich multimedia content, including embedded files, diagrams, and mathematical expressions. It provides a comprehensive web-clipping tool for archiving online research and a RESTful API that enables programmatic access to notes and metadata for external integrations. The system is built on a cross-platform abstraction layer to ensure consistent behavior across desktop and mobile environments.

Khoj is a self-hosted artificial intelligence platform designed for personal knowledge management and semantic information retrieval. It functions as a private assistant that indexes your local documents, notes, and external workspaces, allowing you to interact with your data through natural language queries and conversational chat. By maintaining a local-first architecture, the system ensures that your information remains under your control while providing context-aware responses grounded in your personal knowledge base. The platform distinguishes itself through a modular, cross-platform integration layer that embeds intelligent search and chat capabilities directly into your existing workflows. Whether you are working within text editors, web browsers, or mobile messaging applications, Khoj provides a unified interface to your data. It supports advanced retrieval strategies, such as dual-model architectures for semantic mapping and real-time internet grounding, which allow the assistant to synthesize private notes with external information while providing clear source citations. Beyond its core retrieval capabilities, the system offers a comprehensive suite of tools for data orchestration and research automation. It includes a pluggable ingestion pipeline for diverse file formats, automated query scheduling, and the ability to execute code or generate visual content directly within the chat interface. Users can configure custom agents, manage model routing, and secure their deployments with multi-user authentication, making it suitable for both individual use and enterprise-grade environments.

Taskbook is a command-line task manager and note-taking application that operates within a terminal interface. It functions as a CLI Kanban board, allowing users to organize work into boards with status tracking and priority levels, while persisting all data as structured JSON documents in a configurable local directory. The tool enables personal knowledge management by grouping tasks and plain text notes into named boards and sections to categorize different projects. It supports task prioritization, status tracking, and the ability to mark items as favorites for quick retrieval. The application includes capabilities for keyword search and attribute-based filtering, alongside visualization tools such as board overviews, progress summaries, and chronological timeline views. It also provides utilities for archiving deleted items and integrating selected content with the system clipboard. Application behavior and storage paths are managed via a JSON configuration file, command-line flags, or environment variables.

Logseq is a privacy-focused, local-first knowledge base designed for personal information management and networked thought mapping. It functions as a bi-directional graph editor that organizes content into hierarchical, outliner-based structures, allowing users to connect related concepts through automated backlinking and visual relationship mapping. The platform distinguishes itself by maintaining all user data in plain text markdown files stored directly on the local device, ensuring offline availability and long-term portability. It employs a logic-based query engine to perform complex relational searches across the graph of notes and metadata, while a content-addressable storage model ensures data integrity for every information block. The application supports a broad range of information management tasks, including academic research synthesis and structured project documentation. Users can extend the core functionality through a sandboxed plugin system that allows for custom interface components and data manipulation. The software is documented through a dedicated resource library to assist with setup and configuration.

Omnivore is an open-source, self-hostable read-it-later application designed to centralize web articles, newsletters, and digital documents into a personal library. It functions as a comprehensive content archiver that captures web pages and stores them locally, ensuring permanent access and readability regardless of internet connectivity. The platform distinguishes itself through an event-sourced synchronization engine that maintains a consistent state across multiple devices by replaying user actions. It utilizes a headless web scraping service to extract clean text and metadata from raw web pages, providing a uniform reading experience. Users can manage their collections through a research-oriented workflow that supports highlighting passages and attaching personal notes to saved content. The application provides a full suite of content management capabilities, including offline reading, cross-device progress synchronization, and structured data persistence. It is distributed as an open-source project, allowing users to maintain full control over their personal data and reading history.

This project is a comprehensive diagramming ecosystem that functions as both a standalone cross-platform desktop application and a modular JavaScript library for web-based mind mapping. It provides a visual workspace for structuring hierarchical information, allowing users to create, organize, and manipulate complex node trees through an interactive canvas interface. The platform distinguishes itself through deep integration with artificial intelligence, enabling users to automatically generate, expand, and refine diagram content directly within their workspace. It supports real-time collaborative editing, allowing multiple users to synchronize operations and maintain consistent states across sessions. Furthermore, the architecture is built on a plugin-based system that facilitates extensibility, including specialized integrations for note-taking environments like Obsidian. The system covers a broad range of professional diagramming capabilities, including advanced node management with rich text and formula support, associative linking between topics, and flexible layout configurations. It includes robust data portability tools for importing and exporting content in various formats, alongside presentation modes and visual styling options to support professional information sharing. The software is available as a cross-platform desktop client for local file management and offline productivity, or as a library for embedding diagramming functionality into web applications.

Trilium is a local-first personal knowledge management system designed to store and organize information on a user's own device. It functions as a hierarchical knowledge base where every note acts as both a standalone document and a container for nested children, allowing for complex information relationships and deep categorization. The platform distinguishes itself through a component-based interface that dynamically renders diverse content types, including rich text, diagrams, and executable scripts. All data is persisted within a single relational database file, which supports a versioned archive and a soft-delete lifecycle to protect information integrity. This architecture enables users to manage large volumes of interconnected data within a unified, extensible workspace. The system provides a comprehensive environment for digital asset organization, combining document management with scriptable automation. It utilizes a combination of server-side rendering and client-side orchestration to maintain a responsive interface for navigating and searching through structured information.

Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It supports complex orchestration by allowing users to define multi-container services using standard configuration files, which can be managed through automated build pipelines, Git integration, and real-time performance monitoring. Beyond core deployment, the system includes robust infrastructure management capabilities such as automated backups to external object storage, horizontal and vertical scaling, and granular access control. It also provides secure configuration management, including environment variable synchronization, HTTPS certificate handling, and zero-downtime deployment strategies to ensure application stability and security. The platform is designed for ease of use, offering an interactive API documentation interface and instructional resources to guide users through installation and configuration. It supports a wide range of modern web frameworks and runtimes, providing a flexible environment for hosting and maintaining services on private server hardware.

Notable is a local-first markdown note-taking application designed for managing personal knowledge bases. It functions as a document management system that stores all notes and attachments as plain text files directly on the local disk, ensuring data ownership and compatibility with external file-system tools. The application prioritizes a keyboard-centric workflow, utilizing a command-palette-driven interface to facilitate rapid navigation and content manipulation. It provides a distraction-free writing environment that allows users to hide interface elements, helping to maintain focus while composing structured documents. The platform supports advanced content management through hierarchical tagging, which allows for nested categorization of information. Users can perform batch operations on multiple items simultaneously, such as tagging or organizing large libraries, and utilize a side-by-side editor to view live previews of formatted markdown, including mathematical expressions, diagrams, and syntax-highlighted code blocks.

Siyuan is a self-hosted knowledge management platform designed for private note-taking and information organization. It functions as a local-first application that stores all user content as plain text files on the local file system, ensuring data ownership and offline availability. The platform utilizes a block-based document model, which structures information as a tree of independent content blocks to facilitate granular manipulation and bidirectional linking. Users can extend the core functionality through a sandboxed plugin architecture, allowing for the development of custom themes and scripts that modify the editor behavior and user interface to suit specific workflows. The software is built as a containerized application, supporting deployment within isolated environments to standardize dependencies and simplify maintenance across various hosting infrastructures. It maintains consistency across multiple devices through a persistent socket connection that propagates state changes in real time, while the interface utilizes virtual document object model reconciliation to manage updates efficiently.

Dendron is a markdown knowledge management system designed for organizing linked files into a hierarchical personal knowledge base. It functions as a git-backed note manager that stores data as plaintext markdown files to ensure data persistence and ownership. The system distinguishes itself through schema-based organization, which applies structural templates and autocomplete hints to maintain consistency across large sets of documents. It also provides bi-directional linking and an interactive graph view to visualize relationships between notes, alongside a static site generator that exports private knowledge hierarchies into public websites with granular visibility controls. The platform covers a broad set of capabilities including hierarchical note organization, automated link refactoring via regular expressions, and content fragment embedding to prevent data duplication. It also supports the rendering of diagrams and mathematical formulas and provides a unified interface for searching and creating entries within a hierarchy.

Koodo Reader is an open-source, cross-platform eBook reader designed for managing and studying digital documents. It functions as both a standalone desktop application and a self-hosted web environment, allowing users to organize their libraries and read across multiple devices. The application distinguishes itself through integrated study and annotation tools that facilitate personal knowledge management, enabling users to highlight and extract insights from their documents. It supports a consistent reading experience by synchronizing progress and notes across platforms, while also providing accessibility features such as text-to-speech playback and customizable display settings. The software utilizes a web-based architecture that enables offline functionality through background caching and local data persistence. Users can deploy the web version on personal servers to maintain control over their document storage and accessibility.

Notable is a local-first markdown note taking application and document manager. It functions as a personal knowledge base that persists notes as plain text files on the local disk to ensure data portability and user ownership. The application provides a markdown editor featuring a split-pane live preview for real-time rendering of content, including mathematical expressions and diagrams. Information is organized through a hierarchical tagging system that allows for nested labels and multi-dimensional categorization. The software includes tools for bulk note management to apply operations across multiple files simultaneously and a minimalist interface mode for distraction-free writing.

Pandoc is a universal document converter that translates content between a wide range of markup and binary formats. It functions by parsing input documents into a unified intermediate abstract syntax tree, which serves as the foundation for consistent manipulation and transformation across diverse output types. The system is distinguished by its modular reader-writer pipeline, which decouples input parsing from output generation to allow for granular control over document structure. Users can programmatically manipulate this intermediate tree through a robust filter system, supporting both external JSON-based interop and an integrated scripting environment for custom transformations. This architecture enables complex document processing tasks, such as automated scholarly publishing, where citations, bibliographies, and mathematical expressions are managed through a specialized toolchain. Beyond core conversion, the project provides a comprehensive templating engine that merges structured document data with customizable templates to produce final outputs with specific styling and layout requirements. It also offers a network-based server mode for API-driven and batch processing, allowing the tool to be integrated into automated technical content pipelines. The software is primarily operated via a command-line interface, which provides extensive configuration options for managing input formats, citation styles, and document metadata.

Zettlr is an academic markdown editor and research note management tool designed for professional writing and knowledge organization. It functions as a document processor that enables users to draft, structure, and manage research projects within a unified workspace. The application distinguishes itself by integrating a Zettelkasten-based knowledge management system, allowing users to link related research concepts and notes to foster discovery. It utilizes a local-file-system persistence model, ensuring that all data remains under user control and portable across different environments. The platform supports complex academic workflows by incorporating structured metadata and a modular conversion pipeline. This allows for the transformation of markdown files into various standardized publication formats, facilitating the preparation of documents for academic submission and professional publishing. The software is distributed as a cross-platform desktop application, providing a native interface for managing large collections of literature notes and source materials.

Markdown Here is a browser extension that enables rich text composition within web-based editors that lack native formatting support. By transforming plain text markdown syntax into rendered HTML, it allows users to draft professional emails and documents using standard markup, including headers, tables, and footnotes, directly inside their browser. The tool distinguishes itself through a bidirectional transformation engine that supports both the conversion of markdown to HTML and the reversion of rendered content back into its original source code. This state-preserving functionality allows for iterative editing, while integrated content protection mechanisms ensure that specific sections, such as email signatures, remain untouched during the formatting process. The extension provides a comprehensive suite of authoring features, including support for complex data grids and custom visual styling. It is built on a cross-browser framework that utilizes a unified pipeline to package shared logic, ensuring consistent configuration and rendering behavior across different web environments.

This project is a documentation generation tool and static site generator designed to transform source code comments and structural metadata into navigable, web-based technical manuals. It functions as a build process that converts structured content files into a collection of interlinked HTML pages suitable for hosting on any standard web server. The engine distinguishes itself by automatically extracting code definitions and module hierarchies to create comprehensive technical references. It employs dependency-graph cross-referencing to resolve internal identifiers into stable URLs, ensuring that related modules and documentation sections remain connected throughout the build phase. The system supports developer knowledge management by organizing complex technical specifications into a centralized, browsable format. It utilizes a modular document processor to handle structured text files, applying template-driven rendering to maintain consistent visual layouts while generating searchable indices and metadata maps for client-side navigation.

Note-gen is an artificial intelligence-assisted note-taking application and knowledge management tool designed for local-first data ownership. It functions as a workspace that leverages language models to organize, summarize, and synthesize personal notes into structured documents while maintaining offline accessibility. The platform distinguishes itself through a multimodal workflow orchestrator that chains sequences of tasks to process text, images, and external data. By integrating vision-language models, it extracts information from visual inputs like screenshots and documents, converting them into structured text. Users can further extend these capabilities by connecting third-party artificial intelligence services and external search tools to ground generated content in their own local knowledge base. The system supports a variety of data management and retrieval methods, including vector-based semantic search to locate information based on intent rather than keywords. It maintains consistency across distributed environments by synchronizing files through remote storage providers such as version control systems or cloud storage.

Quill is a modular, web-based rich text editor designed for structured content authoring. It provides a comprehensive toolkit for building tailored editing experiences, allowing developers to manage document state, handle user input, and synchronize content through a predictable, serializable data model. The editor distinguishes itself through a custom document abstraction that maps the browser DOM to a structured tree of nodes, ensuring consistent behavior across different environments. It utilizes an operational change tracking system that represents all document modifications as a sequence of insert, delete, and retain operations. This architecture is supported by a registry-driven framework that allows for the extension of document formats, styling rules, and media types, providing granular control over how content is represented and rendered. The system features an event-driven module architecture, enabling developers to extend functionality through independent units that listen to the editor lifecycle. This includes robust support for custom keyboard bindings, contextual input handling, and content normalization for pasted HTML. The editor also provides extensive configuration options for visual themes, toolbar controls, and history management, allowing for deep integration into professional content creation applications.