Open LLM VTuber

VTuber agent workflow

A VTuber agent workflow should be repeatable before it is live

AI characters need a workflow that keeps persona, memory, model routing, voice, moderation, and scene output aligned for each show.

Workflow map

A reliable workflow starts with character profile intake, voice and language tests, model routing, memory rules, scene preview, stream dry run, and post-stream notes.

The important part is repeatability: the team should know what changed since the last run and which checks still pass.

Safety and quality

AI VTuber characters should have persona boundaries, topic limits, moderation rules, and human review for brand-sensitive scenes.

A hosted workspace makes those checks part of the launch flow instead of a private note in someone else's setup.

Product connection

Open LLM VTuber gives teams an operational surface for this workflow and connects serious usage to paid hosted plans.

Move from preview to hosted setup

Use the public workspace preview to shape the character plan, then choose a paid plan when you need the hosted workspace, setup review, longer voice tests, and launch support.

View pricing plans