The developers behind deepin have released deepin 25.1 (download here), an update that bumps the kernel, expands built-in AI tools, and fixes a long list of bugs across the desktop environment. The distribution has long been known for its polished look and feel, and this release continues that tradition while also pushing deeper into automation and AI-powered features.
Let’s start with the technical side. deepin 25.1 moves to the Linux kernel version 6.18, jumping from the 6.12 series used in earlier builds of deepin 25. According to the project, that upgrade pulls in improvements across several kernel cycles. Memory management changes are intended to reduce overhead, while optimizations for Ext4 and XFS should speed up file operations. The distro also adopts the BORE scheduler from CachyOS, which is designed to make desktop multitasking feel smoother.
Hardware support also gets a bump. deepin says the new kernel integrates more recent driver updates and adds support for newer processor features like Intel APX. In practical terms, that should help the system run well on both newer machines and older hardware still hanging around in people’s homes and offices.
Artificial intelligence is another major focus of this update. deepin’s UOS AI platform continues to expand, and deepin 25.1 introduces something called “Claw Mode.” The idea is that users can type natural language commands and let the system perform tasks automatically. The feature integrates with messaging platforms such as Lark, DingTalk, and QQ.
The built-in AI writing tools have also been redesigned. Users can upload reference materials and outlines, then let the system generate structured drafts. The AI can analyze information in the background and even trace sources for key arguments. A built-in editor allows documents to be formatted and exported to PDF, Word, or Markdown.
deepin also added what it calls “intelligent model scheduling.” Instead of relying on a single AI model, the system can dynamically switch between models such as DeepSeek and GLM depending on the task. Users who prefer to keep things private can generate responses locally using on-device models instead of sending queries to remote services.
Outside of AI, there are plenty of smaller improvements. The file manager now allows tabs to be pinned so important folders stay visible. Screenshot tools gained AI-based text processing for translation and explanations. The taskbar can optionally separate icons when multiple windows of the same application are open, which some users will appreciate on busy desktops.
Other tweaks include adjustable mouse pointer sizes, email printing support in the Mail app, and visual refinements to the AI Companion interface. deepin also updated its Linyaps environment with a newer NVIDIA driver aimed at fixing graphics glitches affecting certain applications.
Of course, no release would be complete without bug fixes. deepin 25.1 addresses stability problems in the desktop environment, including crashes related to multi-monitor setups and taskbar behavior. Developers also resolved issues involving system updates, multimedia playback under Bluetooth headsets, and application store installation failures.
Now let’s address the elephant in the room. deepin has ties to China, and for some folks that alone raises eyebrows. That concern is understandable. Trust matters when it comes to operating systems. At the same time, open source software is transparent by design. Anyone can inspect the code. Being a project with roots in China does not automatically make it malicious.
What deepin undeniably offers is one of the most visually appealing Linux desktops out there. The Deepin Desktop Environment remains sleek, modern, and frankly gorgeous compared to many other Linux desktops. Even people who do not run the distro often admit the interface is stunning.
In other words, deepin remains an interesting option in the Linux world. It looks great, continues evolving, and now brings a newer kernel and a wave of AI-powered features. Whether those AI additions end up being useful or just another example of tech’s current obsession with AI will ultimately be up to users to decide.
