Use a local GGUF
Choose a model already on your machine or download one from Hugging Face. Mirid estimates memory use before you load it.
Reason · Trust · Fidelity
Mirid makes capable AI feel legible. Run models on your own machine, use the providers you already trust, and give characters a voice—all without becoming your own systems administrator.
Windows 10 or 11 No GPU required No Mirid account
One room, many models
A gaming PC, an ordinary laptop, or a handful of API keys are all valid beginnings. Mirid shows you what is available and keeps the machinery out of the way until you want it.
Choose a model already on your machine or download one from Hugging Face. Mirid estimates memory use before you load it.
Connect NanoGPT, OpenRouter, OpenAI-compatible endpoints and supported frontier providers. Their models appear in one navigable library.
Keep intimate conversations local, reach for hosted models when they suit the task, and change course without rebuilding your workspace.
Character has consequences
Build characters through conversation, import familiar card formats, stage group scenes and carry the details that make a story feel continuous.
A clean first launch
The installer stays small. On first launch, Mirid retrieves its versioned runtime, verifies it and sets it up for you. The download resumes if your connection drops.
Run the Windows installer. It places the desktop app and the shortcuts it needs.
Mirid downloads roughly 3.1 GB once, checks its exact size and SHA-256, then extracts it locally.
Add an API key, load a GGUF model, or do both. An NVIDIA GPU makes local work faster; it is not required to open Mirid.
Voice, vision, reach
Speak to characters, hear their replies, bring images into the conversation and generate new ones. Use Mirid directly or let another application call its OpenAI-compatible server.
Before you install
Mirid is ambitious software, but it should never be mysterious about what it needs or where your data goes.
No. Mirid opens and works on CPU-only Windows machines, and API-only use needs no dedicated GPU. Local text and media generation may be much slower without compatible acceleration.
The core runtime includes the application engine and a local text-to-speech voice, not a general-purpose chat model. Choose a GGUF model in Mirid or connect a hosted provider.
Local inference stays on your machine. When you choose a hosted provider, the content needed for that request is sent to that provider under its own terms and privacy policy.
It contains Mirid’s Python runtime and native inference dependencies. Keeping it outside the installer makes the desktop app smaller and lets the engine receive independent, verified updates.
Yes. Mirid can stream text through an OpenAI-compatible endpoint, and its bridge extends that connection to selected voice, speech and image capabilities.
Mirid 1.0 for Windows
Download the installer, give the first launch a little time, and shape Mirid around the way you actually use AI.