A few months ago I got tired of bouncing between ChatGPT, Claude, and a dozen other AI chat UIs every time I wanted to test a different model. It felt like productivity, if productivity involved tab overload and constant context switching.
I also wanted to run everything locally without sending data off to someone else’s server just to ask a question about JSON formatting.
So I built Openbench AI.
What it is
OpenBench is a desktop chat app that connects to Ollama and lets you talk to local LLMs without the usual ritual of Docker, Python environments, or “why is this port not working again” debugging sessions.
You install it. You open it. You chat.
That’s it.
Key features
Multi-model chat (side by side comparison)
You can run multiple models at once and watch them respond in real time to the same prompt.
Instead of guessing which model is best, you can just compare them directly under identical conditions like a mildly scientific experiment that occasionally exposes how inconsistent models can be.
Markdown + LaTeX support
Full rendering via KaTeX.
So when a model writes equations or structured explanations, it actually looks like something a human might willingly read.
Guest mode
Temporary chats that disappear when you close the app.
No storage. No accounts. No memory overhead.
Just quick experiments without commitment.
Ollama model management
You can install models directly inside the app instead of juggling terminal commands and hoping you typed everything correctly the first time.
Conversation tools
- Archive chats
- System prompt presets
- CUstom system prompt
- Clean interface without unnecessary clutter.
Tech stack
- Tauri
- Zustand
- MUI
- SQLite
- ollama-rs
What i would change
If I rebuilt it, I’d add OpenAI-compatible API support from day one.
Right now it only works with Ollama, though the architecture already supports additional providers. I just haven’t wired them in yet because priorities are a fictional concept.
Open source
The project is open source, and release builds are available if you want to try it without compiling anything yourself.
Top comments (2)
Great to see more focus on local LLM implementations! Have you considered integrating Ollama with your app for even more flexibility?
Yes! It was implemented from day one. You can do everything that the ollama cli can do in the app + more like web search.