Hey everyone! I’ve been working on a super lightweight frontend for Ollama called Ollaslim. It’s incredibly small, taking up less than 64 KB on disk. I made it as a private project, but I’m thinking about sharing it.
Has anyone else tried making a minimal Ollama interface? I’m curious about your experiences. What features do you think are essential for a bare-bones frontend? Any tips on keeping the file size down while still making it functional?
I’m also wondering if there’s interest in ultra-compact AI tools like this. Do you think it could be useful for people with limited storage or older devices? Let me know your thoughts!
ooh, your ollaslim sounds fascinatin! have u considered making it open source? i’m curious about the user interface - how minimalist did u go? what about accessibility features? It’d be awesome to see how u managed to squeeze everything into such a tiny package. got any screenshots to share?
hey, im intriqued by your ollaslim.
i’ve always looked for lightweight interfaces. i reckon chat history and model switch might be enough. maybe stick with vanilla js an minimal css to keep it slim. def share it, could be cool for older devices.
I’ve experimented with minimalist Ollama interfaces, and your Ollaslim project sounds impressive. Keeping it under 64 KB is quite an achievement. For essential features, I’d recommend focusing on a simple input/output interface and basic model selection. To maintain a small footprint, consider using vanilla JavaScript and minimal CSS.
There’s definitely a niche for ultra-compact AI tools, especially for users with limited resources or in environments where every byte counts. Your project could be particularly valuable for embedded systems or IoT devices that need AI capabilities but have strict storage constraints.
Have you considered optimizing your code further through minification or using a lightweight framework? It might help you add a few more features without significantly increasing the file size.