LiveKit

Build and scale real-time voice and video applications with sub-100ms latency for interactive experiences.

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About LiveKit

LiveKit is a real-time communication platform designed for developers to build and scale voice and video applications. It provides tools to create multimodal experiences with sub-100ms latency, making it ideal for interactive applications such as conversational AI, livestreaming, and real-time collaboration. The platform emphasizes scalability and robust security, ensuring reliable performance even under heavy usage. Developers can customize and extend functionality to meet specific project needs, while teams can integrate it into existing workflows. LiveKit supports a wide range of use cases, from creating multimodal apps to powering AI-driven conversations and live broadcasts. Its flexible architecture allows for both rapid prototyping and production-grade deployments.

Key features

Sub-100ms latency for real-time interaction
Scalable real-time communication infrastructure
Robust security and encryption
Customizable and flexible architecture
Support for multimodal experiences
Developer-friendly tools and SDKs
Open-source compatibility
Cross-platform support

Use cases

Create multimodal applications combining voice, video, and text
Build conversational AI apps with real-time voice interactions
Develop livestreaming platforms with interactive features

Pros

Open-source framework for building, testing, and deploying real-time AI agents
Supports voice, video, and physical AI applications with sub-100ms latency
Provides a complete stack including inference gateway, cloud deployment, and observability tools
Offers telephony integrations (SIP, phone numbers) for seamless agent interactions
Built for enterprise-grade reliability with SOC 2 Type 2, GDPR, and HIPAA compliance

Cons

May require developer expertise for full customization and integration
Telephony and advanced features may involve additional setup and costs
Observability and scaling features could introduce complexity for small projects

Frequently asked questions about LiveKit

What is LiveKit and what does it do?

LiveKit is an open-source framework and developer platform for building, testing, deploying, scaling, and observing real-time voice, video, and physical AI agents. It provides tools to create multimodal experiences with sub-100ms latency, supporting use cases like conversational AI, livestreaming, and real-time collaboration.

Who is LiveKit designed for?

LiveKit is designed for developers and teams building real-time communication applications, particularly those focused on voice AI, video AI, and robotics. It suits startups, enterprises, and industry giants requiring scalable, low-latency infrastructure for production-grade deployments.

How does LiveKit handle scalability and reliability?

LiveKit offers enterprise-grade infrastructure with features like automatic turn detection, interruption handling, and full-stack observability. It supports millions of concurrent calls and provides a 100% uptime guarantee, backed by SOC 2 Type 2 and HIPAA compliance.

Can LiveKit integrate with telephony systems?

Yes, LiveKit supports phone numbers and SIP integrations, enabling voice agents to make or receive phone calls. This allows seamless integration with existing telephony workflows and global communication systems.

What models and APIs does LiveKit support?

LiveKit provides an inference gateway to access various TTS, LLM, and STT models, allowing developers to customize and extend functionality. It supports integration with multiple model providers, offering flexibility in choosing the best-fit models for specific use cases.

How do I get started with LiveKit?

Developers can start building with LiveKit by exploring its quickstart guides for voice agents in Python or Node.js, or by deploying agents on LiveKit Cloud. The platform offers starter apps for web and mobile integration, as well as documentation and community resources for support.