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LiveKit: Open Source Framework for AI Voice and Video Agents

LiveKit helps developers and enterprises build AI agents with communication capabilities. It is designed for teams that need to integrate LLMs with voice and video transport.

At a glance

Best for
Software companies, Enterprise developers, AI engineering teams
Pricing
Pricing follows a freemium model with a free Build plan. Paid options include the Ship plan starting at $50/mo and the Scale plan starting at $500/mo, with custom Enterprise pricing available.
Key use cases
Voice AI Agent Deployment, Telephony Integration, Agent Performance Monitoring, Multimodal Interface Development
Visit LiveKitLiveKit software interface screenshot

LiveKit is a developer platform that provides infrastructure for creating AI agents capable of real time interaction. It combines an open source framework with a managed cloud service to handle media transport and scaling.

The platform is designed for developers building multimodal AI, supporting the development lifecycle from coding and testing to production deployment. It provides tools for the inference of language, speech-to-text (STT), and text-to-speech (TTS) models.

Buyers can host agents that interact via web, mobile, or phone systems. The cloud version manages the runtime infrastructure, including routing and autoscaling, while the open source version supports self-hosting.

Prospective users should confirm their requirements for concurrency and session minutes, as different plan tiers provide different limits on agent deployments and concurrent sessions.

Key Features

  • Real time Inference

    Supports routing for LLM, STT, and TTS models.

  • Telephony SIP Integration

    Supports connecting AI agents to phone systems for inbound and outbound calling.

  • Agent Observability

    Provides tools to review session recordings, transcripts, and trace spans to monitor performance.

  • Global Cloud Network

    A distributed mesh of media servers designed for voice and video transport.

  • Conversational Intelligence

    Includes models for interruption handling and end-of-turn detection.

  • Open Source SDKs

    Provides server-side SDKs in Python and TypeScript for custom agent logic.

Use Cases

  • Voice AI Agent Deployment

    Building and hosting AI agents that interact with users via voice in real time.

  • Telephony Integration

    Connecting AI agents to phone numbers for automated call handling using SIP support.

  • Agent Performance Monitoring

    Using observability tools to inspect conversation logs and latency to adjust agent behavior.

  • Multimodal Interface Development

    Creating agent interfaces that support voice and video across web, iOS, and Android platforms.

Best For

  • Software companies
  • Enterprise developers
  • AI engineering teams

Pricing

Pricing follows a freemium model with a free Build plan. Paid options include the Ship plan starting at $50/mo and the Scale plan starting at $500/mo, with custom Enterprise pricing available.

FAQ

Does LiveKit have a free version?

Yes, LiveKit offers a free Build plan that includes 1,000 agent session minutes monthly and one free US local phone number.

Can I host LiveKit on my own servers?

Yes, the LiveKit Agents framework and media server are open source and can be run locally or hosted on your own infrastructure.

What is the difference between a Ship and Scale plan?

The Ship plan starts at $50/mo and adds team collaboration and email support, while the Scale plan starts at $500/mo and adds role-based access, metrics export APIs, and region pinning.

Source category: Software Development

Source subcategory: Communication API

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Software Type

How AI is used

LiveKit is an open source framework and cloud platform for developers to build and deploy real time voice, video, and physical AI agents. It supports multimodal interactions through WebRTC and SIP telephony. Buyers should review the specific per-minute inference and session costs associated with different AI models.

Pros & Cons

Pros

  • Includes a free tier for initial project development
  • Supports a wide range of AI model integrations
  • Provides both managed cloud and self-hosted options
  • Includes tools for noise cancellation and speaker isolation

Cons

  • The Build plan has limited concurrent agent sessions and deployments
  • Role-based access and region pinning are limited to the Scale plan
  • Pricing consists of multiple variables including session minutes, telephony minutes, and inference credits