LiveKit Agents
Open-source framework for building real-time voice and multimodal AI agents over WebRTC with sub-200ms latency and composable STT-LLM-TTS pipelines.
LiveKit Agents is an open-source Python framework that enables developers to build real-time voice AI agents using WebRTC as the transport layer, achieving conversational latency under 200ms. It provides a composable pipeline connecting speech-to-text (Deepgram, Whisper), LLM reasoning (OpenAI, Anthropic), and text-to-speech (ElevenLabs, Cartesia) components that can be independently swapped. Voice Activity Detection (VAD) handles natural turn-taking, and a multimodal extension supports agents that process live video frames alongside audio. LiveKit Agents integrates with LiveKit Cloud for serverless deployment, making it the foundation used by startups building voice AI products including customer service agents and real-time assistants.
Key Features
- WebRTC-native real-time voice transport with sub-200ms end-to-end latency
- Composable STT-LLM-TTS pipeline with independently swappable components
- Voice Activity Detection for natural turn-taking in live conversations
- Multimodal agent support for processing live video streams alongside audio
- Integrations with Deepgram, Whisper, ElevenLabs, Cartesia, OpenAI, and Anthropic
- LiveKit Cloud deployment for serverless agent hosting without WebRTC infrastructure management
Use Cases
- Developers building voice AI phone agents with real-time sub-200ms conversation latency
- Teams creating in-browser voice assistants for customer support or product onboarding
- Startups building voice AI products without hiring WebRTC infrastructure engineers
- Researchers building multimodal AI agents that see and hear participants simultaneously
Pros
- WebRTC-native transport achieves sub-200ms latency unmatched by HTTP-polling alternatives
- Open-source with permissive license - no lock-in to a proprietary voice AI vendor
- Composable pipeline lets teams swap STT, LLM, and TTS components independently at any time
Cons
- Requires understanding WebRTC concepts for production deployment and scaling configuration
- LiveKit Cloud pricing adds significant cost for high-volume concurrent voice AI sessions
- Voice pipeline debugging requires audio tooling unfamiliar to most software engineers
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