Open Source TypeScript Task Managers

Project Dashboard is a full-stack dashboard template designed to help teams and freelancers visualize progress, tasks, and metrics in a centralized UI, making project status, deadlines, and priorities easier to track at a glance. It provides Kanban boards, task lists, timelines, and customizable widgets that can surface everything from completion percentages to individual assignments and due dates. The template is built with modern frontend frameworks and pairs with backend APIs for authentication, data storage, and user management, allowing multiple collaborators to share real-time updates securely. Its modular design lets you pick and choose which panels or components matter most for your workflow and tailor layouts to match your process — whether agile, waterfall, or hybrid. It also includes theming support so teams can match branding or accessibility preferences without extensive styling work.

Mindwtr: The Privacy-First GTD System Mindwtr is a Getting Things Done (GTD) productivity tool designed for "Mind Like Water." It runs completely offline—no accounts, no tracking, and no subscriptions. The Core GTD Workflow Capture: Instantly offload thoughts to your Inbox. Clarify: Process tasks rapidly with the built-in "2-Minute Rule" timer. Organize: Sort tasks by Contexts (@work, @home), Areas, and Projects. Reflect: Keep your system trustworthy with a guided Weekly Review. Engage: Filter Next Actions by energy level or time available. Powerful Features Local-First: Your data lives on your device (SQLite). You own it 100%. Flexible Sync: Sync privately via File System (Syncthing, iCloud) or WebDAV (Nextcloud). Focus View: A unified dashboard for your calendar events and next actions. Kanban Boards: Visualize projects with drag-and-drop columns. Stop managing your data. Start getting things done.

BullMQ is a powerful, modern Node.js library for creating and managing robust job queues, built on top of Redis. It is designed for handling distributed jobs and messages in scalable applications.

Orbit started from a simple frustration: most issue trackers make you configure more than you ship. We wanted one place to plan a project, move issues through a workflow, and see progress add up, without the setup getting in the way of the work. How Orbit came to be A short path from a shared frustration to a tool we actually wanted to use. The problem Every tracker we tried asked us to configure more than we wanted to maintain, before a single issue got created. The first version One workspace: create a project, add issues, and move them through a workflow that made sense. Built for teams Roles, dashboards and notifications, so the whole team could rely on the same source of truth. Open and self-hosted Released as a self-hosted tool, so every team keeps full control of their own data.

Todo lists with stopwatch on each task

Weft is an AI-augmented personal task management board where autonomous agents can be assigned tasks and then carry them out across real services like email, Google Docs, spreadsheets, GitHub issues, and pull requests. Instead of just listing to-dos, Weft lets users describe work and attach intelligent agents that read context, perform actions, and request approvals before committing state changes, making task execution partly automated without sacrificing control. It runs entirely on Cloudflare’s platform using Workers, Durable Objects, and Workflows, enabling scalable and persistent task state with minimal backend overhead. Users can set up parallel agents to handle multiple tasks at once and even schedule recurring jobs that trigger daily or weekly to keep workflows on track. Notifications inform the user when tasks are completed or when agent approvals are required, keeping oversight within reach.

better-all is a TypeScript library that reinvents the familiar Promise.all construct by automatically analyzing and optimizing dependency graphs between asynchronous tasks, enabling maximal parallelization without manual orchestration. It addresses a common limitation where developers must manually refactor their promise chains to achieve efficient concurrency when some tasks depend on others, which can be error-prone and hard to maintain. With an object-based API, each task is declared as an asynchronous function that can reference other task results using a magical this.$ context, allowing the library to kick off independent operations immediately and only wait for dependent results when needed. This approach increases readability, reduces boilerplate, and optimizes execution timing based on actual dependency relations rather than naive static ordering.