Ollama's new official desktop app for macOS and Windows makes it easy to run open-source models locally. Chat with LLMs, use multimodal models with images, or reason about files, all from a simple, private interface.
When Ollama walks out of your command line and starts interacting with you as a native desktop app, don't be surprised :)
This new app dramatically lowers the barrier to running top open-source models locally. You can now chat with LLMs, or drag and drop files and images to interact with multimodal models, all from a simple desktop interface. And most importantly, it's Ollama, which is one of the most trusted and liked products for users who care about privacy and data security.
Bringing the Ollama experience to people who aren't as comfortable with the command line will undoubtedly accelerate the adoption of on-device AI.
Ollama v0.7 quietly rewrites the rules for running multimodal AI on local machines. Llama 4 and Gemma 3 in vision mode? Huge. Improved memory management, reliability, and accuracy make this more than just a version bump it’s a fresh foundation for the next wave of local-first LLMs.
Absolutely brilliant update! I first started with ollama and OpenWebui. Until I found other native apps. But this has been the core. It was annoying having to do extra steps to just run a local model quickly, now this is it!
Well done!
Finally !! Congrats to the whole team on this huge achievement. Can’t wait for next iteration, maybe a vibe coding extension ?
I really like the UI of Ollama, especially the CLI. There's a lot to love there. Unfortunately, on macOS it's not the best option because it doesn't support MLX, which runs models 10% to 20% faster, and with lower memory usage. There is an open ticket with a pull request for adding a MLX backend from 2023, but it's been stalled for awhile. If you use mac, try LM Studio, mlx-lm, or swama instead.
Anything that allows users run LLMs locally is just awesome in my book. I think everyone should have access to LLMs without the cost associated with the cloud as most people have basic needs to assist with their day to day tasks and don't have the requirements of a machine learning researcher. I do think integrated local LLMs within the operating systems will allow us to be more productive than cloud based ones in the future.
Good to see the progress on this!
I really love this app! It would be great if it included web search functionality.
Very interesting launch @zaczuo and @jmorgan maybe I have got the thesis wrong but I wonder what's the utility of this one for non coders like me. Although I love Claude code, is this one better?
awesome, just downloaded.
I've used tools like LLMStudio in the past but this is super slick.
Question: Is there a place to get an overview of best use cases for different models? I see the overview of models on the home page but contexualizing what certain models are best for would be massively helpful to me.
No way—running top-tier vision models like Llama 4 locally is a total game-changer! My laptop always struggled before, so I’m seriously impressed by the new memory management.
That's a significant update! Thank you for your product, really like it 🙌
Will the UI be open source as well, so we can adjust/modify the way it works?
About Ollama Desktop App on Product Hunt
“The easiest way to chat with local AI”
Ollama Desktop App launched on Product Hunt on August 1st, 2025 and earned 501 upvotes and 25 comments, earning #2 Product of the Day. Ollama's new official desktop app for macOS and Windows makes it easy to run open-source models locally. Chat with LLMs, use multimodal models with images, or reason about files, all from a simple, private interface.
Ollama Desktop App was featured in Privacy (11k followers), Artificial Intelligence (466.2k followers) and Development (5.8k followers) on Product Hunt. Together, these topics include over 95.7k products, making this a competitive space to launch in.
Who hunted Ollama Desktop App?
Ollama Desktop App 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 Ollama Desktop App 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!
When Ollama walks out of your command line and starts interacting with you as a native desktop app, don't be surprised :)
This new app dramatically lowers the barrier to running top open-source models locally. You can now chat with LLMs, or drag and drop files and images to interact with multimodal models, all from a simple desktop interface. And most importantly, it's Ollama, which is one of the most trusted and liked products for users who care about privacy and data security.
Bringing the Ollama experience to people who aren't as comfortable with the command line will undoubtedly accelerate the adoption of on-device AI.