Open Source Desktop Apps
Desktop apps run directly on a computer, providing a graphical interface for tasks such as editing, communication, media playback, file management, and productivity. Unlike browser-based tools, they can work offline, integrate with operating-system features, and provide direct access to local files and devices. They range from focused utilities to complex workspaces, and may be built for one operating system or several.
Open source desktop software includes creative tools, media players, task managers, system utilities, and applications that connect to online services or local AI models. When choosing an app, consider its supported operating systems, license, recent maintenance, security practices, resource needs, and compatibility with your existing workflow. Desktop apps are useful for individuals and organizations seeking local control, offline access, customization, or a way to inspect and adapt the software they rely on.
35 repositories · updated October 3, 2026

Weylus: Turn a Tablet into a Computer Input Device
Weylus lets you use a tablet or phone as a touch screen or graphics tablet for your computer through a browser. It is especially capable on Linux, with stylus pressure, tilt, multi-touch, window capture, and optional second-screen support.

Installer: Make Windows 11 More Consistent
Rectify11 Installer applies system-file modifications and other changes intended to make Windows 11 more visually consistent. The repository describes the V3 installer, but advises against using it because V4 is a complete rewrite.

pear-desktop: Use YouTube Music as a Desktop App
Pear Desktop wraps YouTube Music in a cross-platform desktop application with a native look and feel. It suits listeners who want a dedicated player and developers who want to extend it with plugins and themes.

open-pencil: Edit and Automate Design Files
OpenPencil is an AI-assisted design editor for opening and editing .fig and .pen files. It combines a visual canvas with CLI, MCP, and scripting tools for design workflows, plus real-time collaboration and a headless Vue SDK.

Codeg: Collaborative Multi-Agent AI Coding Workspace for Developers
Codeg (Code Generation) is an innovative multi-agent AI coding workspace built in Rust, designed to unify and enhance the developer experience. It aggregates sessions from various AI coding agents like Claude Code, Codex, and Grok Build into one searchable environment, facilitating seamless collaboration and task management. Available as a desktop app, self-hosted server, or Docker container, Codeg also offers native iOS and Android clients for on-the-go productivity.

LLM Wiki: Build a Self-Maintaining, Interlinked Knowledge Base with AI
LLM Wiki is a powerful cross-platform desktop application designed to transform your documents into an organized, interlinked knowledge base automatically. Unlike traditional RAG systems, it incrementally builds and maintains a persistent wiki from your sources, ensuring knowledge is compiled once and kept current. This innovative approach offers a dynamic and evolving personal knowledge management solution.

Maka: A High-Performance Agent Workspace for AI Tasks
Apache Maka (Incubating) is a high-performance agent workspace designed to maintain a complete, append-only record of all agent actions. It focuses on measurable performance, local-first operation, and robust recovery mechanisms. This project provides a unified execution authority for desktop, TUI, and CLI clients, ensuring consistent agent behavior across platforms.

OpenMausBot: Your Open-Source AI Bot Team in a Chat App
OpenMausBot is an open-source desktop application that provides an alternative to Grok Bot, allowing users to manage a team of AI agents within a chat interface. It emphasizes local-first operation, bringing your own agents, and providing each bot with its own virtual machine or access to your computer. This project enables powerful AI interactions with privacy and control at its core.

Orkas: Command a Team of AI Agents from Your Desktop
Orkas is an open-source, local-first AI desktop application designed to orchestrate a team of specialist AI agents. It allows a Commander LLM to direct sub-agents and run coding CLIs locally, with agents that self-evolve through reflection and skill crystallization. This cross-platform tool supports macOS, Windows, and Linux, empowering users to manage complex tasks efficiently.

Skill Recorder: Turn Screen Recordings into AI Agent Skills
Skill Recorder is a desktop application that captures your on-screen work sessions, including clicks and app switches. It leverages the GitHub Copilot CLI to analyze these recordings, reconstructing them into an intent and ordered steps. This process allows users to generate reusable AI agent skills or automations for platforms like Microsoft Scout, Copilot Cowork, or Copilot Studio.

Apache Maka: A High-Performance Agent Workspace for AI Tasks
Apache Maka is an incubating project from The Apache Software Foundation, offering a high-performance agent workspace designed to meticulously record all agent activities. It provides a local-first environment for AI agents, allowing users to bring their own models and ensuring transparent, measurable task completion. This project aims to set a new standard for agent reliability and accountability.

OGAD: Private, On-Device AI with an OpenAI-Compatible Local Gateway
OGAD (Off Grid AI Desktop) is an open-source, AGPL-licensed application for private, on-device AI. It enables users to run various open models, including text, vision, image, and voice, entirely locally through a single OpenAI-compatible gateway. This ensures complete data privacy with no cloud dependencies, accounts, or API keys.