Bring your own model
The local LLM AI girlfriend that runs on your hardware.
Point AgenticLover at a local LLM running through Ollama or LM Studio on your own machine. No cloud provider sits between you and the model, so nothing goes off-device for inference and no one filters the conversation but you.
What local means
A local LLM AI girlfriend runs where you do.
Most AI companion apps send every message to a model hosted by a big provider. A local setup flips that. The model file lives on your disk, loads into your graphics card, and answers from there. AgenticLover is the chat surface; the brain is yours.
You still get persona memory, extensions, and device control. The only thing that changes is where the words come from.
No cloud content filtering
A cloud provider decides what its model will and will not say. Run the model yourself and that decision is yours. The conversation goes where you take it.
Inference stays on-device
When the model runs locally, your prompts and her replies never leave your machine for inference. Pair it with local storage and the whole session stays with you.
Works without an internet model bill
No per-message cost and no rate limits from a provider. Once a model is downloaded it runs offline. Your electricity is the only running cost.
Setup
Ollama and LM Studio, connected in three steps.
If you can install an app and copy a URL, you can do this. AgenticLover detects a running local server and lists the models you have already pulled.
Step 01
Install Ollama or LM Studio
Both run a model server on your own computer. Ollama is a command-line tool; LM Studio has a desktop app with a model browser. Pick whichever you like.
Step 02
Start the local server
Ollama listens on http://localhost:11434 by default. LM Studio serves on http://localhost:1234 once you start its local server. Pull a chat model and leave it running.
Step 03
Point AgenticLover at it
In AI Provider settings, choose Ollama or LM Studio, paste the base URL, and hit Test Connection. Your installed models show up in a dropdown. Pick one and chat.
Hardware reality
You need a decent GPU.
No way around it. A language model has to fit in memory to run fast, and a graphics card is what makes that quick. The more video memory you have, the larger and sharper the model you can host.
Smaller chat models run on a modest card and feel snappy. Step up to a 16GB card or better and you can run something that holds a scene well. CPU-only works, but replies come slowly. If your machine cannot keep up, switch the same persona to a cloud model and carry on.
Rough guide
What runs on what.
8GB VRAM or less
Smaller models. Fast and fine for everyday chat with a persona.
16GB VRAM and up
Mid-size models that track longer scenes and stay in character.
No GPU spare?
Use a cloud model from the built-in catalog and skip local entirely.
Private and unfiltered
Nobody reads over your shoulder.
When inference runs locally, your prompts and her replies are not handed to a third party. A hosted API can log requests and enforce its own content rules. A model on your own machine does neither.
You pick the model
Many open models are far more permissive than hosted APIs. Download the one that fits how you play.
Pair with local storage
Run the model locally and keep conversations on-device, and the whole session stays with you.
No provider rules
There is no cloud policy layer deciding what your AI girlfriend will say.
Same features
Memory, extensions, and toy control all work the same on a local model.
FAQ
Local LLM AI girlfriend questions.
What is a local LLM AI girlfriend?
It is an AI companion that runs on a language model you host yourself instead of a cloud API. With AgenticLover you install Ollama or LM Studio on your own computer, load a chat model, and the app sends messages to that local server. Inference happens on your hardware.
Which local model servers does AgenticLover support?
Ollama and LM Studio. Ollama runs as a background server on http://localhost:11434. LM Studio is a desktop app that exposes a local server, usually on http://localhost:1234. In AI Provider settings you pick the provider, enter the base URL, and your installed models appear automatically.
What hardware do I need to run an AI girlfriend locally?
A modern graphics card. The model weights load into video memory, so a GPU with more VRAM lets you run larger, smarter models. Smaller models run on modest cards; bigger ones want 16GB of VRAM or more. CPU-only is possible but slow.
Is a local LLM uncensored?
There is no cloud provider applying its own content policy on top of your chat. The model itself still has whatever behavior it was trained with, and many open models are far more permissive than hosted APIs. You choose which model to download and run.
Does running locally keep my chats private?
When the model runs on your machine, your prompts are not sent to a third party for inference. Combine that with local storage mode and conversations stay on your device. AgenticLover never sells your data either way.
Can I still use cloud models if I want?
Yes. Local is one option, not a requirement. AgenticLover also works with hosted models through its built-in catalog and through OpenRouter. You can switch between a local model and a cloud model whenever you like.
Related pages
Keep exploring.
AgenticLover
The AI companion platform overview.
OpenLocal LLM Sex Toy Control
Drive toys from a model running on your own hardware.
OpenPrivacy-First AI Girlfriend
Local storage, your own models, no data selling.
OpenAgentic AI Girlfriend
An AI that takes actions, not just chats.
OpenAI Girlfriend With Sex Toy Control
Connect hardware to the conversation.
OpenLovense AI Girlfriend
Pair Lovense toys with your companion.
OpenEstim AI Girlfriend
E-stim play driven by your AI.
OpenSmart Home AI Girlfriend
Lights and devices in the same chat.
OpenWant the build details? Read the documentation.
Ready?
Run your AI girlfriend on a local LLM.
Install Ollama or LM Studio, point AgenticLover at it, and chat on a model you control. Cloud is there if you ever want it.