LiveKit

LiveKit is a complete real-time communication platform that uses WebRTC technology to enable low-latency audio, video, and data exchange between users and AI agents. Unlike traditional communication tools, LiveKit is built specifically for developers who want to create custom real-time experiences.

The platform consists of several parts: the open-source LiveKit server that handles media routing, client SDKs for all major platforms, and LiveKit Cloud for managed hosting. It uses a Selective Forwarding Unit (SFU) architecture, which means it can efficiently handle many participants without heavy server processing.

LiveKit is especially strong for AI applications. It can connect voice agents to phone systems, enable real-time transcription, and support multimodal AI that can see and hear simultaneously. Whether you want to build a simple video chat or a complex AI assistant, LiveKit provides the foundation you need.

Using LiveKit is straightforward and can be adapted to different skill levels and project needs:

• Step 1: Choose your deployment
  You can either use LiveKit Cloud (managed service) or self-host the open-source server. Most developers start with LiveKit Cloud because it's faster to set up.

• Step 2: Install the SDK
  LiveKit offers SDKs for JavaScript, Python, Swift, Android, Flutter, React Native, and more. Install the one that matches your platform.

• Step 3: Create rooms and manage participants
  Rooms are where users connect. You can create rooms through the API and generate access tokens for users to join.

• Step 4: Add media tracks
  Users can publish audio, video, or data tracks that other participants can subscribe to. You control what each user can access.

• Step 5: Integrate AI agents (optional)
  Use LiveKit Agents framework to add voice assistants or other AI features that can interact with users in real-time.

• Step 6: Monitor and scale
  Use the dashboard to track usage, performance, and costs as your application grows.

• Real-time video and audio streaming with WebRTC

• AI voice agent framework with popular integrations

• SDKs for all major platforms and languages

• Self-hosted or managed cloud deployment options

• End-to-end encryption and security features

• Telephony and phone system integration

• Global edge network for low latency

• HIPAA compliant for healthcare applications

• Enterprise SSO and access controls