LiveTalking
LiveTalking
A digital-human conversation engine supporting several lip-sync backends, interruption handling and WebRTC, RTMP or virtual-camera output.
A framework for building agents that watch and listen to live video, combining perception models with real-time conversation.
View repository ↗Vision Agents by Stream
Adjacent perception layer for an AI co-host or coach that reacts to what is on screen; not a video generator.
The clearest product signal is “Let the agent see the action”. That interaction model—not a generic AI feature list—is the reason to compare it with the rest of this directory.
This is source code, not a hosted channel. You need to inspect, configure, and deploy it with your own keys and runtime before anything can broadcast.
Open the official destination and look for the current adjacent infrastructure · live perception · agent sdk workflow. Controls, access and live activity can change after this editorial check.
Best for: Agents that understand live video
Access note: Read the repository setup and license before running. Hardware, model downloads and API access vary by project.
2026-09-05: Official README reviewed. Video provider and model configuration required; no measured latency or autonomous broadcasting claim.
LiveTalking
A digital-human conversation engine supporting several lip-sync backends, interruption handling and WebRTC, RTMP or virtual-camera output.
Open-LLM-VTuber
A voice-interactive AI companion with visual perception and a Live2D character, supporting local and hosted model backends.
MuseTalk
A lip-sync model that updates a prepared face video from incoming audio clips, with a documented real-time inference workflow.