Llama Windows brings llama.cpp to the Windows 11 system tray. Download open models from Hugging Face in one click, chat via Alt+Space, and let coding agents, editors and scripts share a local OpenAI-compatible API and model cache. Free and open source.
The llama.cpp team and @Hugging Face have brought Llama to Win 11. It lives in your system tray, recommends models that fit your PC, and handles running llama.cpp for you.
Press Alt+Space to chat with a local model from anywhere.
Your other apps can use it too. Point a coding agent, editor or script at localhost:9931/v1, and they all share the same local OpenAI-compatible server. Models stay in the usual Hugging Face cache, so you don't need separate 20GB downloads for every app.
No terminal, no admin rights, and no cloud inference. It's free and open source!
Love that one shared local server means every app reuses the same model cache instead of each bundling its own 20GB download.
Running Llama locally on Windows removes the dependency on cloud APIs for AI tasks. Privacy-first, no token limits, and full control over your model. Perfect for teams working with sensitive data or running inference-heavy workflows offline. The local server approach is much cleaner than scattered client-side LLM wrappers.
About Llama Windows on Product Hunt
“One local AI server for all your Windows apps”
Llama Windows launched on Product Hunt on October 25th, 2026 and earned 114 upvotes and 3 comments, placing #6 on the daily leaderboard. Llama Windows brings llama.cpp to the Windows 11 system tray. Download open models from Hugging Face in one click, chat via Alt+Space, and let coding agents, editors and scripts share a local OpenAI-compatible API and model cache. Free and open source.
Llama Windows was featured in Open Source (69k followers), Artificial Intelligence (482k followers), GitHub (41.4k followers) and Development (6.3k followers) on Product Hunt. Together, these topics include over 185.8k products, making this a competitive space to launch in.
Who hunted Llama Windows?
Llama Windows was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Llama Windows stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
The llama.cpp team and @Hugging Face have brought Llama to Win 11. It lives in your system tray, recommends models that fit your PC, and handles running llama.cpp for you.
Press Alt+Space to chat with a local model from anywhere.
Your other apps can use it too. Point a coding agent, editor or script at localhost:9931/v1, and they all share the same local OpenAI-compatible server. Models stay in the usual Hugging Face cache, so you don't need separate 20GB downloads for every app.
No terminal, no admin rights, and no cloud inference. It's free and open source!