A simple task management system for students and teachers.
A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.
MCP Server for SMP (https://smp.nationalcloud.ae) bug/task management system
Task management system integrated with Git workflows
Production CLI tool for HyperTask task management system
A revolutionary incremental task management system for Claude Code that transforms problems into focused missions
Model Context Protocol (MCP) server for Linear task management system
Production CLI tool for HyperTask task management system
Quest Log — event-sourced task management system with MCP interface
A task management system for ambitious AI-driven development with Claude Code integration, AWS Bedrock, and Anthropic API support.
A task management system for ambitious AI-driven development with enhanced Supabase integration supporting RLS policies, multiple authentication methods, and seamless cloud synchronization.
Web-based UI for Taskmaster task management system
Event-sourced task management system with MCP interface
Task management system integrated with Git workflows (alias for taskin)
Task management system for Cursor using MCP protocol
A task management system for ambitious development that doesn't overwhelm and confuse developers.
TaskHero AI - A task management system for ambitious AI-driven development
A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.
A task management system built for AI agents with MCP server support
A flexible and powerful task management system for managing asynchronous and synchronous tasks in TypeScript.
A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.
A simple task management system
AI agent task management system with MCP server, SQLite storage, and orchestration protocol
AI-powered task management system for project planning and execution
Universal API service for manage applications and system tasks localy or remotely
A controller for Arduino OLED System Monitor, Blink Task Manager
A longer description will come...
A controller for Arduino OLED System Monitor, ICE Task Manager
This gem contains code deployment and system management tasks that can be utilized with Capistrano v3
Thor tasks to manage a VERSION file based on SCM tags
Schedule management system using 'howm' like format. Plans, i.e., schedule(@), reminder(-), deadline(!), and tood(+), make events and tasks. Command 'sculd' can output events on each date and tasks with high priority.
devops system utility profiler for bioinformatics that does all the task required in the bioinformatics such as moving files, finding files, generating ssh and everything, added cpu information and additional server management
Core gem used by all the elastics gems. Provides the core resources: HTTP clients, Elasticsearch API Methods, Templating System, Cascading Variables Management, Result Extenders, Logging & Debugging, Self-documenting Tool, Rake Tasks, ...
This gem automates PostgreSQL's backup and restore in your Rails project. It will inject two rake tasks that you can use to manage your data, either by using the local system or AWS S3 storage.
Fabric is a small ruby app to perform tasks on servers via SSH. Built around net/ssh and taking heavy inspiration from Capistrano, it currently focuses on managing remote users and their keys on clusters of servers. It does this without the need for a process/daemon/dependency or even ruby being installed on the remote host(s). In the future, it will allow you to create policies for server management and perform sysadmin tasks via a system of recipes.
Daedalus is a build system based on years of attempting to build Rubinus with a collection of Rake tasks. Rubinius is a complex system. It has dependencies on external C libraries (some of which are vendored), internal C/C++ libraries, Ruby C-extensions, and compiled Ruby code. The Rubinius bytecode compiler is written in Ruby, so we have to bootstrap compiling it. Rake fails at this task because there is no way to manage multiple, independent dependency trees without subprocessing another Rake process. This results in unreasonable and unmanagable complexity.
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