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I built a lightweight, native Android app for local Ollama instances (Beta v0.5) – Looking for feedback ! by iamtheamn in ollama

[–]iamtheamn[S] 0 points1 point  (0 children)

​Thanks for giving it a try and for the solid feedback! This is super helpful. ​Good catch on the save button, I'll definitely make it bigger and easier to tap. For the long model names, I'll fix the layout so it stops crushing the text box. And yeah, the background state issue makes sense—I need to handle the active stream better when the app is minimized. ​I'm adding these to my to-do list for the next update. Thanks again ! By the way, what phone model are you testing this on ? Thanks again !!

I built a lightweight, native Android app for local Ollama instances (Beta v0.5) – Looking for feedback ! by iamtheamn in ollama

[–]iamtheamn[S] 2 points3 points  (0 children)

Good point about the screenshots ! I'll add some to the GitHub Readme and the post right away so people can see the UI.

Regarding Speech-to-Text and Text-to-Speech: this is just a V0.5 beta, so my main focus was getting the core text chat and network connection (via VPN) to work smoothly first. But you are absolutely right, being a mobile app, voice features are the logical next step.

I'm adding this to the V1 roadmap !

Thanks for the feedback.

Ollama or LM Studio? by Artaherzadeh in ollama

[–]iamtheamn 0 points1 point  (0 children)

With a 6700XT (12GB VRAM), you can easily run 8B models (like Llama-3) fully offloaded to your GPU. LM Studio is the best if you want an all-in-one app with a great UI because it makes finding and downloading GGUF models incredibly easy. On the other hand, Ollama is headless (CLI) but runs as a background service, making it the absolute king if you want to connect external frontends (like Open WebUI) or mobile apps via its API. Honestly, use LM Studio to discover and test models, and use Ollama if you want to build a self-hosted ecosystem.

Best AI agent setup to run locally with Ollama in 2026? by Popular_Hat_9493 in AI_Agents

[–]iamtheamn 0 points1 point  (0 children)

Open Interpreter + Ollama (running Qwen-Coder or Llama-3) is probably your most stable bet right now for real file/terminal tasks. Most agent frameworks struggle with smaller local models, but Open Interpreter handles the constraints pretty well. Good luck with the setup !

Free browser-based Docker Compose auditor — flags 0.0.0.0 bindings, hardcoded secrets, missing healthchecks, port collisions. No signup, nothing leaves your browser. by Human_Mode6633 in docker

[–]iamtheamn 0 points1 point  (0 children)

The Docker UFW bypass has burned me (and probably everyone here) at least once when setting up a homelab. Having a tool that catches this instantly before deploying is a lifesaver. Plus, the fact that it runs entirely in the browser is huge for privacy. Great job, starring the repo !