LiveKit

What if your live streams could scale infinitely, with every viewer perfectly synchronized?

RecommendedLiveKit is a powerful, open-source cloud platform that excels in real-time AI agent deployment and scalable, low-latency live streaming, offering extensive model integrations and observability for complex applications.

LiveKit provides a comprehensive platform for building and deploying real-time AI voice and video agents, offering a WebRTC stack for live streaming with synchronized experiences and unlimited viewers. It integrates with various AI models for LLM, STT, and TTS, and provides robust observability tools for agent performance.

Visit LiveKit
Screenshot of LiveKitVisit LiveKit
Key Features:
  • Real-time AI voice and video agent deployment
  • WebRTC-based live streaming with unlimited viewers and low latency
  • Integration with popular LLM, STT, and TTS models
  • Comprehensive agent observability with audio recordings, transcripts, and traces
  • Advanced telephony features including DTMF, answering machine detection, and secure trunking
Pros
  • Developers building real-time AI voice and video agents
  • Companies needing internet-scale live streaming with low latency and interactivity
  • Teams requiring advanced telephony features like DTMF, answering machine detection, and HD voice
Cons
  • Free tier has hard caps on usage, not just overage billing.
  • Agent observability data has a 30-day retention window.
  • Some advanced features like custom voices are not available on the free plan.
Pricing
freemiumFree tier
Starting at:$0/mo
Free tier:1,000 agent session minutes, 100,000 observability events, 1,000 minutes audio recordings, $2.50 inference credits, 1 free US local number, 50 US local inbound minutes, 1,000 third-party SIP minutes, 5,000 WebRTC participant minutes, 50GB downstream data transfer, 60 transcode minutes, 60 track egress minutes.
Plans
  • Build: $0/mo (Free tier)
  • Ship: Starting at $50/mo
  • Scale: Starting at $500/mo
  • Enterprise: Custom
Categories:
AI InfrastructureCode & DevelopmentAudio & Speech
Tags:
WebRTCLLMSTTTTSTelephonyOpen SourceCloud PlatformObservability
Share:
Quick Decision
Try if: You need a robust, scalable, and low-latency platform for real-time AI voice/video agents or interactive live streaming, especially if you value open-source flexibility and comprehensive observability.
Skip if: You are looking for a simple, off-the-shelf solution without the need for deep integration or real-time AI capabilities, or if your project does not require WebRTC-level performance.
Not for: Users looking for a simple, no-code live streaming solution; Projects that do not require real-time communication or AI agent capabilities
Trust Signals

  • Team Size

    medium
Compliance
HIPAA (Scale plan)Security reports (Scale plan)
Notable Customers
WhatnotSAP
Tech Details
Platforms
webapicloud
Integrations
GitHubTwilioWhatsAppOpenAIGoogle GeminiDeepgramElevenLabsCartesiaAssemblyAISpeechmaticsxAIAzure

  • AI Model

    Multiple LLM, STT, TTS models (e.g., OpenAI GPT, Google Gemini, Deepgram Nova, Cartesia Sonic)
Open Source
Yes
Support
Channels
community forumemail (Ship plan+)Slack (Enterprise plan)
Company

  • Name

    LiveKit

  • Location

    Worldwide

LiveKit provides an open source framework and cloud platform for building and deploying real-time voice, video, and physical AI agents, focusing on scalability and low-latency communication.

FAQ

What is LiveKit and what can I build with it?

LiveKit is an open-source framework and cloud platform for building and deploying real-time AI voice, video, and physical agents. You can use it to create applications ranging from AI voice/video agents to large-scale live streaming platforms with millions of users.

How does LiveKit's live streaming compare to traditional HLS solutions?

LiveKit uses a WebRTC stack for live streaming, offering internet-scale capabilities with sub-250ms latency and perfect synchronization across all viewers. This contrasts with HLS, which can have up to 60s of latency and is not synchronized or interactive.

What kind of AI models does LiveKit support for its agents?

LiveKit Inference supports a wide range of LLM, STT, and TTS models from various providers including OpenAI (GPT series), Google (Gemini series), Deepgram (Nova, Flux), Cartesia (Sonic, Ink), ElevenLabs, AssemblyAI, and xAI (Grok).

Is there a free tier available for LiveKit?

Yes, LiveKit offers a 'Build' plan which is free. It includes monthly allowances for agent session minutes, inference credits, telephony, WebRTC minutes, and observability events, with no credit card required to start.

How is usage metered and billed on LiveKit Cloud?

LiveKit Cloud uses usage-based pricing, metered by resource consumption. This includes agent session minutes, observability events and audio recordings, LiveKit Inference (by tokens, time, or characters), and LiveKit Phone Numbers (by inbound call time and monthly rental). Usage is rounded up to minimum increments.

Use Cases
  • Developers building real-time AI voice and video agents
  • Companies needing internet-scale live streaming with low latency and interactivity
  • Teams requiring advanced telephony features like DTMF, answering machine detection, and HD voice
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