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Open-LLM-VTuber

Talk to any LLM with a Live2D voice companion.

At a glance

Price not confirmed · Source review 2026-11-04
Price & billing

Open-source project with no plan amounts in the text read; running it needs the user's own LLM, speech-recognition and text-to-speech backends, whose prices are not stated in the text read, so no charge fact is recorded.

Free allowance

Not separately confirmed. Check the current plan before relying on a free allowance.

Best suited to

users who want a voice companion with a visible avatar, since it combines real-time voice, visual perception and a Live2D character that can be a companion or desktop pet.; users who want everything local, since all functionality can run completely offline on their own computer.; developers and hobbyists building VTuber-style agents, since it integrates many LLM inference, text-to-speech and speech-recognition backends.

Fit is editorial guidance, not a measured result.
Platforms

Access: not separately verified. Operating systems not separately verified.

Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.

No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.

What to know before choosing

Good fit

users who want a voice companion with a visible avatar, since it combines real-time voice, visual perception and a Live2D character that can be a companion or desktop pet.; users who want everything local, since all functionality can run completely offline on their own computer.; developers and hobbyists building VTuber-style agents, since it integrates many LLM inference, text-to-speech and speech-recognition backends.

Limits and trade-offs

users who need long-term memory right now, since that feature is temporarily removed in the text read.; users who want remote access without extra setup, since accessing the server from another machine needs https configuration for the microphone.

Plans and free allowances

Open-source project with no plan amounts in the text read; running it needs the user's own LLM, speech-recognition and text-to-speech backends, whose prices are not stated in the text read, so no charge fact is recorded.

Evidence

Official repository ↗ (reviewed 2026-11-04)

Official published documentation reviewed; not a product test

Dates: Last reviewed 2026-11-04. Last reviewed is the latest source or editorial review date; it is not a content-change date.

A closer look at Open-LLM-VTuber

Open-LLM-VTuber is a voice-interactive AI companion with a Live2D avatar: real-time voice conversations, voice interruption, visual perception and a character that can be a virtual companion or desktop pet, running completely offline on Windows, macOS or Linux, in web and desktop-client modes. It integrates many LLM, speech-recognition and text-to-speech backends, while long-term memory is temporarily removed and v2.0 is in early planning.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Open-LLM-VTuber

  • users who want a voice companion with a visible avatar, since it combines real-time voice, visual perception and a Live2D character that can be a companion or desktop pet.
  • users who want everything local, since all functionality can run completely offline on their own computer.
  • developers and hobbyists building VTuber-style agents, since it integrates many LLM inference, text-to-speech and speech-recognition backends.

When to choose something else

  • users who need long-term memory right now, since that feature is temporarily removed in the text read.
  • users who want remote access without extra setup, since accessing the server from another machine needs https configuration for the microphone.

A practical starting workflow

  1. Install the project on Windows, macOS or Linux and choose the web version or desktop client, including transparent-background desktop-pet mode.
  2. Configure an LLM, speech-recognition and text-to-speech backend, and set up https if accessing the server remotely.
  3. Talk to the avatar by voice, interrupt when needed, and continue past conversations from persistent chat logs.

Check before committing

  • The project is stated to be in early, active development, and v2.0 is a complete rewrite in early discussion and planning, so v1 behaviour may change.
  • Long-term memory is temporarily removed in the text read, though chat logs persist so unfinished conversations can continue.
  • Remote access from another machine needs https configuration, because the front-end microphone only launches in a secure context such as https or localhost.

Common questions

What is Open-LLM-VTuber?

A voice-interactive AI companion with a lively Live2D avatar, real-time voice conversation and visual perception, able to run completely offline on the user's computer.

Official repository ↗

Which platforms does it run on?

Windows, macOS and Linux, in a web version and a desktop client, including a transparent-background desktop-pet mode.

Official repository ↗

Does it remember past conversations?

No, the long-term memory feature is temporarily removed, though persistent chat logs let users continue previous conversations.

Official repository ↗

Compare approaches for this task

  • 1forAll — Creators who need voices, images, and videos from one pay-as-you-go platform.
  • 3D AI Studio — Game developers and creators who need fast text- or image-to-3D models across several engines.

Sources and checks

Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.