The best alternatives to Windows Copilot for Linux

If you use Linux daily, you've probably thought more than once how great it would be to have a Windows Copilot -type assistant integrated into the desktop, just like in Windows. The reality is that most GNU/Linux distributions don't come with any such assistant pre-installed , which means many users simply resort to using a web browser and ChatGPT, Claude, or similar web-based programs.

The good news is that powerful alternatives to Windows Copilot for Linux already exist , with native desktop applications, system integration, support for local models, and connectivity to the same LLMs you already use in the cloud. And, if you're leaving Windows due to telemetry issues, absurd hardware requirements, or simply weariness, the Linux ecosystem also offers distributions very similar to Windows that make the transition much smoother.

Why look for an alternative to Windows Copilot on Linux?

On Windows, Copilot is already ubiquitous, but on Linux, this integration isn't officially available . This has a downside (you don't have an assistant right after installing the distro) and a very positive one: you can choose which AI to use, how to integrate it, and, above all, to what extent you want to share data or rely on the cloud.

Many users are migrating to Linux for reasons very similar to those that lead them to seek alternatives to Microsoft 365 Copilot and uOffice : cost, privacy, flexibility, and a rejection of a single company's monopoly. The rise of cloud tools, constant subscriptions, and aggressive telemetry have led more and more people to seek open, customizable, and unconstrained environments.

Furthermore, there's an important practical factor: not all computers are ready for the latest versions of Windows . Requirements such as TPM 2.0, POPCNT, or certain minimum CPU generations exclude many computers that, nevertheless, can easily run a modern Linux distribution... and also well-optimized local AI models.

Therefore, when we talk about alternatives to Windows Copilot for Linux, we're not just talking about "another AI chat," but about building your own productivity environment with intelligent assistants , choosing between desktop apps, local or online models, and, if you want, even a distro that resembles Windows so that the change isn't traumatic.

How to choose the best alternative to Copilot for your Linux environment

Before you rush into installing assistants and distributions like crazy, it's worth taking a moment to think about how you're going to use AI on Linux . It's not the same for someone who just wants a chat for quick questions as it is for a developer looking for editor autocomplete , terminal integration, and 100% local models.

A basic first filter is ease of use . If you're used to Windows, you'll probably appreciate a desktop and applications with a familiar design. In the field of AI, a clean interface is also appreciated, where you can chat, upload files, and switch models without getting lost in unfamiliar menus.

Another key point is integration with your workflow : do you want AI glued to your desktop and system (terminal, notifications, keyboard shortcuts), or is a separate chat-style window enough? There are tools that are ultra-integrated with GNOME, with command line and extensions, and other simpler ones focused on "open, ask, and close."

We also mustn't forget device and format compatibility . In the Office world, we talk about DOCX, XLSX, or PDF; in the AI ​​environment, we talk about API connections (Gemini, GPT-4, Claude, DeepSeek), support for local GGUF models, compatibility with standards like MCP (Model Context Protocol), and, of course, availability on Linux, Windows, and macOS if you work across multiple systems. It's also useful to know how to use AI in OnlyOffice on Linux to process local documents.

Finally, the pricing model comes into play . Some alternatives are completely free and open source, others operate with freemium plans and monthly limits, and a few offer Enterprise versions with advanced security policies. Consider whether paying for more speed, better models, or enterprise features is worthwhile, or if a free or open source option is sufficient.

Newelle: GNOME's built-in copilot for Linux

If you use Ubuntu, Pop!_OS, or any distro with GNOME as its main desktop environment, Newelle is one of the most interesting alternatives to Windows Copilot . It's developed as a native application for this environment, using GTK4 and the Adwaita library, so it integrates visually as if it came with the system itself.

The beauty of Newelle is that it's more than just a simple chat program . It offers a conversational assistant with voice support, "vibe coding" to help you program more smoothly, rich text rendering, and terminal integration. Furthermore, it has a profile system and extensions to expand its capabilities as needed.

One of its strengths compared to Copilot is its model flexibility . Instead of being tied to a single provider, Newelle can work with local and remote LLMs: Groq, Google Gemini, GPT4Free, Anthropic Claude, and other services that expose a compatible API. It also supports the Model Context Protocol, which opens the door to integration with more context tools and sources.

To install it, simply use Flatpak from Flathub, for example with the standard installation command. Once it's up and running, you'll have a co-pilot always available on your GNOME desktop , with the added benefit of being able to better control which templates you use, where they run, and what data leaves your machine.

LM Studio: Powerful local models on your Linux

If you're looking for an environment to download and run language models locally , with a user-friendly interface and cross-platform support, LM Studio is a worthwhile option. Its desktop app is available for Linux, Windows, and macOS, and is designed to work with GGUF format models.

Compatible models include Gemma, DeepSeek-R1, Llama, and numerous LLMs hosted on Hugging Face . The philosophy is simple: you download the model, load it onto your machine, and use it privately, without relying on a permanent cloud connection or a specific provider. If you need alternatives to cloud services, see options for local models and how to choose them.

LM Studio is more than just a "model viewer." It includes GPU acceleration to process requests much faster if your graphics card allows it, supports custom parameters per query, and allows you to manage multiple sessions thanks to the llama.cpp engine. It also integrates a server mode so you can expose your own local AI endpoint and consume it from other applications.

For developers, the tool includes SDKs for Python and TypeScript/JavaScript , command-line integration (LMS chat), and even headless mode support via llmster. And, of course, you can use it as a general-purpose assistant, for programming, or for experimenting with different models without leaving Linux.

Installation on Linux is usually done via AppImage: you download the file, grant it execute permissions in Properties, and launch it. From there, you have a Copilot equivalent that doesn't depend on Microsoft or the cloud , especially useful if you're concerned about privacy or work in environments without a constant internet connection.

PyGPT: an all-in-one assistant in the style of Google AI Studio

For those who want something more like a "personal AI hub" with many integrations , PyGPT is a good fit. It's an open-source project with a desktop application for Linux, Windows, and macOS, and its approach is quite similar to Google AI Studio, but installed on your computer.

PyGPT offers conversational chat, text, image, and video generation , voice support, and, very usefully, file loading as context for RAG (Retrieval Augmented Search and Generation). This allows you to ask questions about your own documents, technical data, or notes without having to copy and paste everything into the prompt.

In addition to its general-purpose functionality, PyGPT includes plugins highly geared towards automation and development : executing code in the terminal, creating agents, creating and debugging scripts , and more. This makes it particularly useful if you use Linux as your primary operating system and want the assistant to be able to "get its hands dirty" in the console when necessary.

In many distributions, it can be easily installed using Snap with a single command. Once installed, you'll have a versatile copilot for your Linux system , capable of communicating with multiple APIs and acting as the central hub for your everyday AI tasks.

Jan.ai: Local AI, agents, and offline work

Another project gaining traction among advanced users is Jan.ai , a desktop assistant designed to run language models locally, though it can also connect to LLM in the cloud. Its goal is to allow you to work with AI even without an internet connection , something Copilot cannot offer.

With Jan.ai, you can use it as a general-purpose chat application, code generator, context grounding system, or multimedia content creation tool, provided the loaded model supports it. It works with models like ChatGPT, Gemini, Claude, and others in GGUF format, and lets you choose where and how they run.

One of its most powerful features is its work with AI agents . Jan.ai can connect to services like Notion, Jira, Google Drive, Slack, and other productivity tools to create "agentic" workflows ( agentic operating system ): the assistant goes beyond a simple chat and starts executing tasks, consulting documents, moving information between services, and helping you automate processes.

For Linux installation, the usual method is to download the .deb package and use dpkg to install it. Once up and running, you get a Copilot alternative geared towards getting work done , with a much greater focus on AI autonomy and the use of local resources.

It's important to keep in mind that, depending on the model you upload to Jan.ai, not all capabilities will be available : some LLMs don't yet generate images, others focus on programming, and still others are optimized for reasoning. Before downloading a model, carefully check if it suits the type of tasks you have in mind.

Linuxfx Winux: A Linux distro that mimics Windows with its own wizard

So far we've seen AI copilots that can be installed on any distro, but what if you also want your own Linux system to look as much like Windows as possible and have a built-in assistant? Linuxfx Winux (also known as Windowsfx) excels in this area.

Linuxfx Winux is an Ubuntu-based distribution that closely replicates the look and feel of Windows , especially Windows 10 and 11. It uses KDE Plasma as its desktop environment, modified with the WXD graphics libraries to replicate Microsoft's visual style: taskbar, Start menu, icons, control panel, system tray, virtual desktops… everything will feel extremely familiar if you come from the Windows ecosystem.

It's not just a simple wallpaper change: the aesthetic integration also extends to applications like LibreOffice , which can be customized with themes to visually resemble Word, Excel, and PowerPoint. Furthermore, it comes pre-installed with browsers like Google Chrome and Firefox, and a comprehensive suite of software to cover most everyday uses.

In terms of compatibility, Linuxfx Winux is ready to run EXE programs and MSI installers with a double-click , thanks to Wine and other compatibility layers. However, let's be realistic: simple programs and older software usually work quite well, but modern games with anti-cheat systems or very complex applications can be more problematic or simply not work at all.

In terms of requirements, it's considerably lighter than a modern Windows system. The WinUX 11.25.09.2 Normal edition requires a 64-bit dual-core CPU, 3 GB of RAM, and around 25 GB of storage (4 GB of RAM and 50 GB of SSD storage are recommended). The Light version slightly lowers the CPU requirements but maintains 3 GB of RAM, while the FAT edition, designed to get the most out of the distro, raises the minimum to 6 GB of RAM and 80 GB of disk space. All variants work well in virtual machines if you enable 3D support and install the Guest Additions.

Helloa and PowerToys Control Tools: AI and Windows-like extras

One of the elements that makes Linuxfx Winux feel even closer to modern Windows is the inclusion of an AI assistant called Helloa. This companion works similarly to Cortana or Siri: you can use it to perform searches, execute commands, control parts of the system, and ask it to perform actions via voice or text.

Thanks to Helloa, a user newly arrived from Windows has the feeling that they haven't lost that "copilot" integrated into the system , even though in this case we are talking about a Linux distro with its own tools under the hood of Ubuntu and KDE Plasma.

The distro also includes a suite of utilities called PowerToys Control Tools , clearly inspired by Microsoft's PowerToys. With it, you can access an advanced control panel where you can adjust network options, graphics, and other system parameters more easily than by editing configuration files or using the terminal.

Among the standout features of these tools is a subsystem for running Android apps directly on Linuxfx Winux, managed from within the PowerToys suite itself. They also centralize cloud account management: you can link Microsoft (for OneDrive), Google, and other services from a single point.

The result is an environment where the user perceives a strong consistency with Windows : the same type of Start menu, shortcuts, similar system tray, volume and network controls with the same approach, integrated calendar, virtual desktops, etc. All of this is built on an Ubuntu base with LTS support and updates through Canonical's standard update manager.

Versions, cost and download of Linuxfx Winux

Linuxfx Winux is offered in two main editions: Free Edition and Professional . The free edition provides the Windows 10/11 look and feel, compatibility with basic Windows programs via Wine, the themed LibreOffice suite, web browsers, multimedia tools like VLC and Kodi, editors like GIMP, and Steam for games, among other pre-installed packages.

For users who want to go a step further, the Professional version adds specific advanced features : full support for installing Android apps and games, additional WxDesktop settings and tools, a more complete voice assistant for commands, integration with Microsoft Active Directory, a OneDrive file manager, and access to all WxDesktop resources.

The Professional version has a relatively affordable single price, well below the cost of a Windows license , and is primarily aimed at users and companies who want an experience almost identical to Microsoft's in terms of appearance and extra utilities, without giving up the Linux base.

Linuxfx Winux is downloaded as a 5,1 GB ISO file , which you can obtain via direct download from SourceForge or via torrent (usually faster). The latest version, Winux 11.25.09.2 LTS “NOBLE”, is based on Ubuntu 24.04.3 LTS with kernel 6.14, includes the stable KDE Plasma 5.27, supports both Legacy BIOS and UEFI, and does not require a TPM or other hardware restrictions for installation.

Once downloaded, you can use the ISO image to test the distro in a virtual machine or burn it to a USB drive and boot from it on any computer to install it. Keep in mind that, since it's not an official distribution from a major company, its developer community is smaller, so it's always a good idea to have a backup plan in case the project slows down or is discontinued in the future.

Other Linux distributions with a “Windows flavor”

Linuxfx Winux isn't alone in trying to resemble Windows to facilitate migration . There are other distributions that follow a similar approach to a greater or lesser extent, and they can be an interesting alternative if Windowsfx doesn't quite convince you or if you prefer different foundations.

On one hand, there's Kubuntu , an official Ubuntu variant that replaces the GNOME desktop with KDE Plasma. While it doesn't try to copy Windows as aggressively, the result is an environment with a Start menu, taskbar, and system tray that will be very familiar to anyone coming from Microsoft. Furthermore, being an official Ubuntu flavor, it has a large community and very robust support.

In a more specialized area, we find Kali Linux , designed for ethical hacking and security auditing. It's not a recommended distro for novice users, but it has an "Undercover" mode that transforms the desktop to resemble Windows , ideal when you need to remain undetected in sensitive environments. If you're proficient in Linux and work in cybersecurity, this mode makes working very similar to using a disguised Windows 10 environment.

There is also Chalet OS , derived from Xubuntu (Ubuntu with XFCE) with an aesthetic layer heavily focused on imitating Windows Vista and 7. It includes themes, icons, and desktop layout that are very reminiscent of those versions of Windows, although its community is smaller and its future is less clear than that of other projects.

And finally, one of the favorites among many users migrating from Windows 11 is Zorin OS . This distro has always been characterized by its simplicity, and in recent versions it has opted for a desktop that can emulate the look of Windows 11, with a centered taskbar and modern interfaces , but without the exaggerated hardware requirements (such as the infamous TPM 2.0). Its large community and constant development make it a very solid long-term option.

Taken together, all these options share the goal of reducing the fear of making the leap from Windows to Linux , offering visually familiar environments, recognizable menus, and a much smoother learning curve.

Which combination should you choose to have "your Copilot" on Linux?

Looking at the landscape, the decision isn't just about choosing a specific AI app, but about considering the best combination of Linux distribution and AI assistant . If you like GNOME and want something well-integrated, Newelle might be your ideal partner. If you prioritize privacy and local models, LM Studio and Jan.ai stand out.

If you prefer a command center for multiple LLMs and web services , PyGPT fulfills that role very well, with chat, RAG, multimedia generation, and plugins to automate tasks. On the other hand, if your concern is making the switch from Windows smooth, Linuxfx Winux, Zorin OS, or Kubuntu will give you a very familiar desktop environment on which you can then install any of these assistants.

The key is to experiment without fear: almost all of these tools have free versions, or are completely open source , so you can try them out, compare performance, see which AI model best understands your projects, and adjust until you find the mix that feels most natural to you.

Ultimately, the value of these Windows Copilot alternatives for Linux lies not only in "having an intelligent chat at hand," but in the freedom to decide which models you use, how you run them, what data you share, and what your system looks like —something that is much more closed by default in the Windows and Copilot ecosystem.