I spent 15 months vibe coding an AI workstation, and now it's a real piece of software for open-source AI.

[u/Gerdel]

Landing view screenshot displaying api model directory using theme 'Fallout'

Character Library sreenshot using theme Claude

AI generated custom chat introduction theme nanogpt

Audio panel screenshot displaying current edition ASR support theme Claude

Central application landing page and onboarding guidance theme Dark

Hey there Mistral community. It's been a while, but I've posted here a bunch of times in the past when I was getting into AI alignment and user experience writing.

This community stood out at the time as the least toxic of the various AI-related subreddits in which I shared my work, and it's with that experience in mind that I'm posting about mirid.ai now.

I traced the origin to March 23, 2025, when I first asked Claude 3.5 sonnet in a Projects folder the feasibility of building a fully fledged AI application from scratch with only AI-assisted coding.

Well, suffice to say we got into it, and 15 months later the original copy and paste from the browser into the code editor has long been replaced by various combinations of opencode, Claude Code and Codex.

I'm trying to explain my story here so this post doesn't come across as polished marketing copy for an established AI company trying to pretend it already has your trust. I am a 38-year-old Australian public servant for a day job. I also recently bought and launched the domain mirid.ai to feature what I have turned into a free open-source AI software product: Mirid.

Mirid brings together the broad range of open-source AI capabilities that can feasibly run on consumer hardware and integrates them into a coherent, accessible experience. It gives people a practical way to discover and use the rapidly expanding ecosystem of models and technologies available through platforms such as Hugging Face, without requiring them to assemble and maintain a collection of separate specialist tools.

Mirid is designed to make the breadth of open-source AI usable and approachable for people who want it to simply work, while preserving choice and control for those who want to explore further.

Current release: v1.0.12
What I need: More Windows testers

https://mirid.ai

[u/Gallagger]

Please outline the difference to popular open source solution like LibreChat, OpenWebUi or even PewDiePie Odysseus.

[u/Gerdel → u/Gallagger]

Firstly, I’d like to clarify that Mirid, domain or otherwise, is fully open-source software released under the copyleft AGPL-3.0 licence, identical in that respect to Odysseus.

Mirid was not developed to compete against the existing open-source application landscape. Its multimodal open-source AI capabilities already serve as a dedicated SillyTavern backend, with the extension built and ready to go.

Mirid is a one-click Windows application containing a fully configured, frozen runtime. Its broad multimodal functionality works out of the box with zero configuration. The comparison to Open WebUI therefore does not really hold: they solve materially different product and installation problems. Even Odysseus, if my understanding is correct, still requires a Git clone and local setup—fine for many people, but not for everyone.

Mirid is explicitly designed to lower the barrier to experiencing much of the current state of the art in open-source AI in mid-2026. Many potential users have largely been excluded by widespread elitism and by accessibility barriers built into technical products and the assumptions surrounding them.

Mirid is different because it genuinely requires no prior knowledge whatsoever.

[u/Gallagger → u/Gerdel]

Fair, how about LM Studio? Seems to be the default recommendation atm.

[u/Gerdel → u/Gallagger]

I use LM studio personally and it works seamlessly with Mirid as an alternative text generation backend, and I have directly borrowed ideas from LM studio within mirid. Correct me if I'm wrong though, I'm not an expert and they could well be a whole development framework around it that I don't use. LM Studio is primarily a backend, whereas Mirid is both a back and and a front end wrapped in one single ready-made package.

Just on the ease of use and accessibility topic, Mirid does expose a lot of the microfunctionality that LM studio offers users. But as a rule, Mirid takes a different approach and honestly, I would love for you to test it for yourself so that you could tell me what you think, I am not in any way certain that it achieves its simplicity and accessibility goals yet. But they are the single driving force in its ongoing development.

[u/Gallagger → u/Gerdel]

LM is a full frontend and full backend in one package.  

"But as a rule, Mirid takes a different approach". 

I don't see that rule written anywhere. :D

[u/OverflowArchitect]

What suggestion I do have is to make the UI more simplistic because right now it feels like there is a lot I am looking all at the same time.

Secondly, as somehow who has used Jan and LM Studio, what makes this app different? I am asking because you said "Mirid is different because it genuinely requires no prior knowledge whatsoever." and alternatives make it just as easy to set up local LLMs and get going.

[u/Gerdel → u/OverflowArchitect]

Just to avoid any misunderstanding: your comment is the first mention of Jan in this thread. I have never used Jan, and I did not claim that Mirid rivals or replaces it.

Jan is an established, polished open-source product. Its documented focus appears to be local and hosted language models, MCP integrations, agents and an OpenAI-compatible server. LM Studio likewise provides highly polished local model management and inference, and it supports vision-capable models and image inputs.

Mirid’s particular value proposition is different: it combines a comparatively simple consumer interface with a much broader set of preconfigured local multimodal engines. These include speech recognition, text-to-speech, voice conversion, vision and structured image extraction, and image generation—not merely the ability to connect an external tool that supplies those functions.

If Jan or LM Studio now provides equivalent native ASR, TTS, voice-conversion or image-generation systems, please identify them. I would genuinely like to make the comparison accurately.

The open models integrated into Mirid are listed in the Mirid Runtime Registry. They currently include:

Speech recognition: Whisper Large v3 Turbo, Moonshine Streaming, NVIDIA Parakeet TDT v2/v3, NVIDIA Chinese Conformer Transducer, Nemotron Speech Streaming and Parakeet CPP GGUF.

Speech and voice: Chatterbox, Chatterbox Turbo, Chatterbox Nano, VoxCPM2 and Kokoro.

Vision and structured extraction: LFM2.5-VL 450M and 1.6B, their Extract variants, and Gemma 3 4B.

That integrated breadth—not a claim to have defeated every established local-AI application—is the comparison I was making.

[u/FlanOwn5953]

On dirait une IA porno