To-do and GTD

This project is an autonomous, multi-model orchestrator designed to manage the full software development lifecycle through a command-line interface. It functions as an intelligent agent that decomposes high-level product goals into actionable, prioritized subtasks, manages dependency graphs, and executes development cycles. By automating requirement parsing, technical research, and task tracking, it maintains project alignment and momentum throughout the implementation process. The system distinguishes itself through a provider-agnostic abstraction layer that allows users to assign specific artificial intelligence models to primary, research, or fallback roles. It supports both cloud-based services for broad reasoning capabilities and local model execution to ensure data privacy and offline functionality. Furthermore, the platform integrates live web research directly into the task management workflow, enabling agents to generate complexity scores and validate technical decisions against current industry patterns before writing code. Beyond core orchestration, the tool provides a comprehensive framework for managing task metadata, parallel workstreams, and team collaboration. It includes features for real-time task monitoring, automated documentation generation, and integration with development environments through standardized communication protocols and editor extensions. The system is configured via local environment files, which handle secure credential management and allow for the optimization of active tools to balance context window usage.

This project is a command-line task runner designed to manage project-specific workflows through a centralized, configuration-driven interface. It functions as a declarative tool for organizing build logic, environment variables, and task dependencies into a structured format, enabling the automation of complex development pipelines. The tool distinguishes itself by providing a shell-agnostic execution layer that ensures consistent behavior across Windows, macOS, and Linux. It supports advanced workflow orchestration by constructing directed acyclic graphs to manage task prerequisites, while offering flexible parameter injection and command-line variable overrides to customize execution without modifying source files. Users can also leverage interactive recipe selection and modular configuration imports to navigate and maintain complex project structures. Beyond core execution, the project includes a broad suite of developer utilities such as automated shell completion generation, integrated terminal documentation, and support for diverse script interpreters. It manages environment contexts through variable loading and exporting, while providing granular control over process signals, parallel execution, and output verbosity. The project is distributed as a standalone binary, with documentation and usage details accessible directly through its built-in manual page system.

Glance is a self-hosted web portal designed to aggregate real-time data, system monitoring, and content feeds into a single, customizable dashboard. It functions as a centralized interface for managing internal tools and network services, allowing users to secure their portal with password authentication and define the application's visual identity and layout through structured configuration files. The platform is built on a modular widget engine that treats individual dashboard components as isolated units. This architecture enables users to arrange widgets into custom pages and columns, with each component independently fetching and rendering data from external sources, service status checks, or system interfaces. The system supports a wide range of integrations, including containerized workload monitoring, server resource tracking, and various web-based content feeds. Beyond its core monitoring capabilities, the application includes productivity utilities such as task management and custom search interfaces. It provides flexibility for advanced users through custom API data visualization, which allows for the transformation of raw JSON responses into formatted widgets using custom templates. The system is designed to operate behind reverse proxies and can be configured to interact directly with host-level interfaces and container runtimes.

Tqdm is a terminal-based progress indicator that provides real-time visual feedback for long-running tasks and data processing pipelines. It functions as an iteration tracking wrapper, allowing developers to monitor the completion status of loops and data streams by wrapping standard iterables without modifying the underlying data source. The project distinguishes itself through its use of terminal escape sequences to render dynamic text and graphical bars that update in place. It supports both automatic tracking of iterable collections and manual progress incrementing for non-linear tasks where the total workload is not known upfront. By calculating real-time throughput and elapsed time, it provides diagnostic information such as estimated completion times and processing rates. The library includes capabilities for managing the lifecycle of progress indicators through context managers and supports descriptive labeling to clarify active operations. It adapts to various input types by detecting length attributes or iterators and offers asynchronous hooks for custom logic execution during the iteration process.

YASB is a customizable status bar framework and desktop shell component for Windows. It provides a toolkit for building personalized information bars using a modular class-based widget architecture and CSS-based styling. The framework distinguishes itself through deep integration with Windows tiling window managers, allowing users to display active workspaces, tiling layouts, and window focus states. It also features automated visual consistency by generating system color schemes based on the current desktop wallpaper. The project covers a wide range of capabilities, including real-time system hardware monitoring for CPU, GPU, and memory, as well as productivity tools such as clipboard history, Pomodoro timers, and task lists. It further integrates external data through API dashboards for weather, cryptocurrency, and GitHub notifications, while providing developer utilities for unit conversion and encoding. Configuration is managed via YAML files with schema-based validation to ensure correctness before runtime.

This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It distinguishes itself through a collaborative peer-review process, where community members validate the quality and relevance of each submission to ensure the directory remains accurate and reliable. The project covers a broad capability surface, including infrastructure automation, container-based service deployment, and declarative configuration management. These tools assist users in maintaining reproducible server environments and managing complex service dependencies across private hardware. The directory is maintained as a version-controlled repository, ensuring that all updates and community-driven changes are tracked and transparent.

Ice is a macOS menu bar manager designed to provide granular control over the visibility, arrangement, and spacing of system status icons. It functions as a workspace organization utility that allows users to hide unnecessary icons and rearrange active elements through a drag-and-drop interface, helping to maintain a clean and focused desktop environment. The application distinguishes itself by prioritizing keyboard-driven navigation and workflow optimization. Users can assign custom global hotkeys to trigger specific menu bar actions or toggle visibility settings, enabling interaction with background applications and system tools without requiring mouse input. Additionally, the utility includes a search function that uses keyword filtering to locate and interact with menu bar items rapidly. Beyond these core management capabilities, the software offers extensive interface customization options to adjust the visual layout of system-level elements. It utilizes the system accessibility framework to programmatically query and manipulate menu bar items while maintaining a separate window layer to ensure system stability. User-defined preferences are stored in persistent configuration files to reconstruct the desired menu bar state upon launch.

This project is a local-first task manager and time tracking tool designed to consolidate work items from multiple external project management platforms into a single, unified interface. By prioritizing local data sovereignty, it ensures that all task lists, time logs, and application states remain on the user's device, providing full functionality in offline environments while maintaining privacy. The application distinguishes itself through a focus on deep work and structured productivity rituals. It integrates distraction-free modes, configurable focus timers, and automated time tracking to help users maintain concentration and monitor effort against specific tasks. Users can capture interruptions instantly via global shortcuts, manage complex projects through subtasks, and visualize their daily commitments using integrated calendar feeds and timeboxing tools. Beyond core task management, the platform offers extensive extensibility through a plugin-based architecture, allowing for custom automation and the creation of specialized service adapters. It supports secure, user-managed synchronization across devices by applying local encryption to data before it is transferred to external storage providers. The system also provides robust reporting capabilities, enabling users to generate client invoices, analyze work performance, and monitor project budgets based on tracked time data. The software is distributed as a cross-platform desktop application that utilizes a native wrapper to provide system-level access and persistent background execution.

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.

This project is a shell plugin that provides real-time command suggestions to accelerate terminal input. By hooking into the command line editor and utilizing a strategy-based prediction engine, it generates completions derived from command history, shell completion data, or custom user-defined sources. The tool distinguishes itself by rendering suggestions as a visual ghost layer directly within the terminal buffer using ANSI-styled overlays. To maintain a responsive command-line environment, it performs all prediction calculations in the background, ensuring that heavy computation does not block user input. Users can customize the experience through extensive configuration options, including the ability to map specific keyboard shortcuts for accepting or navigating suggestions. The engine also supports fine-grained control over the prediction process, allowing for the filtering of history or completion results and the adjustment of performance parameters based on input length. Comprehensive documentation is available to guide users through the installation, configuration, and maintenance of the plugin.

Stretchly is a cross-platform desktop break reminder application that helps prevent eye strain and repetitive strain injury by periodically prompting you to take microbreaks and long breaks. Built with Electron, it runs on Windows, macOS, and Linux with a consistent interface, and can be controlled both through its graphical interface and via terminal commands. The application distinguishes itself through extensive customization and context-aware behavior. You can adjust break intervals, durations, sounds, and the content displayed during breaks to match your personal workflow. Stretchly automatically pauses reminders when it detects user inactivity, when the system is in Do Not Disturb mode, when specific applications are running, or until a scheduled morning hour. It also supports directing break windows to a specific monitor, setting global keyboard shortcuts, and hiding the tray icon for a minimal interface. Beyond the core break scheduling, Stretchly offers features for postponing or skipping individual breaks, configuring separate schedules for microbreaks and long breaks, and selecting sound themes with volume control. A visual health mode adds a vignette effect that responds to break completion, and sponsor authentication with GitHub or Patreon enables preference synchronization across devices. The application provides command-line control for managing breaks and preferences without the graphical interface.

Zoxide is a terminal utility designed to accelerate filesystem navigation by learning user habits. It functions as a command-line navigation tool that allows users to jump to frequently accessed directories using partial names rather than typing out full file paths. The tool maintains a persistent, atomic file-based database that records navigation history, enabling rapid lookups and safe updates across multiple shell sessions. The project distinguishes itself through a frecency-based ranking algorithm, which calculates directory relevance by combining access frequency with temporal decay. This ensures that the most likely destinations are prioritized during path resolution. To maintain accuracy and performance, the tool employs heuristic fuzzy matching to resolve partial queries and includes automated background maintenance to prune stale records or directories that no longer exist on the filesystem. The utility integrates directly into various shell environments through a lightweight hook layer, enabling command-line completion and streamlined navigation workflows. Users can further customize the tool's behavior, storage locations, and filtering rules through environment variables defined in their shell configuration files.

This project is a high-performance command-line utility designed for rapid filesystem navigation and file discovery. It enables users to locate files and directories within large project structures using recursive search, pattern matching, and metadata-aware filtering. By employing multi-threaded parallel traversal, it provides an efficient way to explore complex directory trees. What distinguishes this tool is its ability to integrate directly into terminal workflows and automate file management tasks. It automatically respects version control ignore files and hidden file settings, ensuring that search results remain focused on relevant project content. Beyond simple discovery, it features a built-in batch execution engine that allows users to run custom shell commands or scripts against search results, using dynamic placeholders to process file paths and metadata. The utility supports a wide range of interoperability features, including standard stream piping for safe data transfer to other command-line tools, text editors, and fuzzy finders. It provides granular control over search parameters, including full path matching, regex-based pattern evaluation, and configurable output formatting. Diagnostic utilities are also included to assist with pattern debugging and terminal readability.

Vocode-core is a framework for building real-time conversational AI voice agents. It serves as a conversational orchestrator and pipeline that integrates speech-to-text, large language models, and text-to-speech services to enable low-latency voice interactions. The project features a provider-agnostic interface that allows for swappable speech and language model providers, including support for both cloud APIs and local binaries. It distinguishes itself through a specialized telephony integration layer that enables agents to be deployed across phone lines, WebRTC, and virtual meeting platforms. The framework covers a broad range of capabilities including agent orchestration with custom personas and tool assignments, real-time audio streaming with interruption handling, and comprehensive telephony management for inbound and outbound call lifecycles. It also includes speech processing tools for multi-language transcription, synthetic voice cloning, and event-driven webhooks for monitoring call milestones.

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.

Run QA Wolf flows from your terminal or in CI.

Rectangle is a desktop window manager that organizes open application windows into predefined layouts and grid positions. It functions as a background utility, allowing users to manipulate window frames through keyboard shortcuts or mouse gestures to improve multitasking and workspace efficiency. The application acts as a native interface extension, providing window snapping and tiling functionality that integrates directly with the operating system. It supports multi-monitor setups, enabling the distribution and alignment of windows across various displays. By utilizing the system accessibility framework, the tool programmatically queries and modifies window geometry to ensure precise placement. The software manages window arrangements by intercepting global hotkeys and mouse events to trigger layout logic. It continuously monitors display configurations to adjust snapping boundaries dynamically, calculating target window positions based on screen dimensions and user-defined constraints.

Lynis is an automated security auditing and system hardening framework designed for UNIX-based operating systems. It functions as a command-line utility that inspects local system configurations to identify security vulnerabilities, configuration weaknesses, and compliance gaps. By executing a series of modular tests, the tool generates actionable reports and remediation suggestions to assist in strengthening system defenses. The project distinguishes itself through a highly modular architecture that relies on shell-script-based execution and native system inspection. Users can define custom audit profiles to standardize security policies across diverse environments, while the plugin-driven extensibility allows for the development of specialized security checks tailored to unique infrastructure requirements. This flexibility enables the tool to operate in non-interactive batch modes, facilitating integration into automated scheduling and continuous monitoring workflows. Beyond core auditing, the framework supports enterprise-wide security management by aggregating data from multiple hosts into centralized reports. It provides capabilities for tracking system integrity, enforcing compliance baselines, and prioritizing hardening tasks based on risk assessments. The system also supports structured data serialization, allowing audit findings to be exported for external analysis and visualization.

Atuin is a command-line tool that replaces standard shell history with a searchable, encrypted SQLite database. By hooking into shell initialization scripts, it provides an interactive, keyboard-driven interface for real-time command filtering and retrieval. The platform ensures data privacy through a client-side encryption layer, securing sensitive history and configuration data before it is synchronized across multiple machines. Beyond history management, Atuin functions as an executable documentation platform that enables teams to create and share interactive runbooks. These documents use a block-based editor to combine rich text with live terminal commands, database queries, and API interactions. Users can compose complex automation workflows by chaining these modular blocks, which support dynamic template variable injection and script execution to maintain consistent operational procedures across different environments. The system includes a background synchronization service that maintains consistent shell aliases, environment variables, and dotfile settings across devices. Teams can collaborate within shared workspaces, utilizing versioned runbooks and integrated access controls to manage standardized tasks. The platform also features an AI assistant that can interpret natural language instructions to modify document content, allowing for efficient updates to automated procedures.