Real-time video
LiveKit
The open-source WebRTC stack behind realtime video AI.
Product insights
LiveKit at a glance
Value proposition
LiveKit’s Agents framework and SFU move sub-second audio and video for live avatar and streaming AI products.
Problem solved
Traditional video generation often makes you wait for a finished clip. Real-time video products bring feedback and control back into the generation loop.
Audience
For creative technologists, developers, and product teams building live visual experiences.
Pricing and access
Hosted access is available through the official website. Plans, credits, regions, and API terms vary by product.
Market
- Real-time video
- Open source
- Low latency
- Streaming video
Tech stack
- Official hosted product
- Real-time video stream
- Browser / API access
01Why it is here
What is LiveKit?
LiveKit is the open-source realtime video infrastructure that many live AI avatar and streaming products are built on.
02Workflow
How to use LiveKit
- 01
Set up LiveKit
Run the SFU yourself or use their cloud.
- 02
Add Agents
Use the framework to give agents voice and video.
- 03
Stream anywhere
Deliver sub-second media to browsers and apps.
03Capabilities
Key features of LiveKit
- Open-source WebRTC stack
- Agents framework for AI
- Sub-second latency
04Use cases
What is LiveKit best for?
- AI product engineers
- Self-hosters
- Live experience builders
05Questions
FAQ about LiveKit
Who uses LiveKit?
It powers realtime audio and video for a wide range of AI avatar and livestream products.
Official website snapshot
livekit.io
LiveKit’s Agents framework and SFU move sub-second audio and video for live avatar and streaming AI products.
