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Super Productivity is an open-source task and day-planning application with sub-tasks, projects, tags, timeboxing, time tracking, timers, work summaries, and personal productivity metrics. It can import assigned tasks from Jira, Trello, GitHub, GitLab, Gitea, OpenProject, Linear, ClickUp, Azure DevOps, and other sources while keeping planning details local. The application supports task notes, file attachments, project bookmarks, break reminders, anti-procrastination prompts, a Pomodoro timer, basic CalDAV integration, and exports for work logs and time sheets. Data can be synchronized across devices through SuperSync, Dropbox, or WebDAV; SuperSync is described as an end-to-end encrypted service that can also be self-hosted. It is available as a web application and downloadable applications, requires no account or registration, and states that it does not collect user data. The project is free and open source, with platform support including Android, iOS, Linux, macOS, and Windows.

tududi is an open-source task and project organizer for life and work, available as a self-hosted application or hosted subscription. It organizes tasks, subtasks, projects, areas, notes, and tags in a hierarchy, with filtering by status and due-date categories, project sharing, responsive access, and an installable progressive web app with offline caching and queued synchronization. Its recurring-task system supports daily, weekly, monthly, weekday-specific, and last-day-of-month patterns, custom intervals, completion-based recurrence, linked parent and generated tasks, and optional end dates. The project also provides Telegram capture, CalDAV synchronization, OIDC, and a REST API.

Mr. Mak Workspace is a local Windows desktop workspace for Codex CLI and Claude Code CLI. It combines real CLI chats with a project workspace for folders, research, images, files, Markdown documents, project reports, and saved project materials. The application provides chat history and tabs, agent activity indicators, file and folder insertion, project cards, previews for media files, and a right rail for project skills, knowledge, workflows, MCP connections, settings, and help. The repository includes fourteen project skills covering areas such as planning, handoffs, image references, media generation, Three.js, Blender, video inspection, and dictation. It can also provide an optional voice coordinator using Codex CLI and an OpenAI API key; external providers and MCP connections are optional and use the user's own accounts. The Windows installer includes the local Node service but does not bundle the supported CLIs or provider accounts. The native application targets Windows x64, while browser report previews can run elsewhere. Application code and original workflow documentation are MIT-licensed, with third-party skill materials retaining their original licenses.

MindSpark is an open-source, self-hostable mind-mapping application developed in vanilla JavaScript and distributed under the MIT license. It represents each map as a Markdown outline and keeps the canvas and Markdown editor synchronized in both directions, with imports and exports for formats including JSON, OPML, Markdown, PNG, PDF, Word, Mermaid, and GitMind. The editor provides automatic tree layout, drag-and-drop reordering, rich-text nodes, LaTeX rendering through MathML, an Excel-like node formula engine with functions such as SUM, AVERAGE, IF, ROUND, and SQRT, version history, read-only URL share links, and citations with DOI-based metadata retrieval from Crossref. Research, prompt-engineering, software, and AI-agent templates are included; map branches can also be compiled into prompts for Anthropic or OpenAI using a user-supplied API key. MindSpark can run locally with Node.js and SQLite, as a static site using a personal access token to save maps in a user's own Git repository, or with an optional Cloudflare Worker for OAuth, editable shared maps, access control, and real-time collaboration. Its repository also describes a separate MCP server for creating, reading, editing, and rendering maps through compatible AI clients.

Waku is a native desktop app for working with local coding agents. Built in Rust with GPUI, it keeps projects, sessions, transcripts, and application state on the user's machine, while detecting supported agent CLIs and using each provider's native structured protocol and session continuity. Its interface supports independent project sessions, model and reasoning settings, queued or directed follow-up messages, and Git-backed task rewind with conversation-aware checkpoints. The desktop app communicates with a standalone waku-daemon over an authenticated, versioned WebSocket protocol. The daemon manages task data in SQLite, attachments, provider-native session forks, workspace files, and Git operations; a browser client uses the same generated protocol. Waku is distributed for macOS, Linux, and Windows, with no Waku account or remote service required.