LiveKit Agents

The open-source, self-hostable voice agent framework, Apache 2.0, provider-agnostic, and the infrastructure behind ChatGPT’s Advanced Voice Mode.

Best forEngineering teams that want to own their voice-agent stack end to end — self-hosted or on LiveKit Cloud — without being locked into one vendor’s API.

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Our verdict

LiveKit Agents is the one genuinely open-source, self-hostable option among this category’s voice agent platforms, an Apache 2.0 framework, not a closed API you can only rent.

The open-source pick in this category, real engineering ownership and no vendor lock-in, at the cost of assembling the pipeline yourself.

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What's great

  • The only open-source, self-hostable framework in this category (Apache 2.0, 11.5k+ GitHub stars), full code visibility and no vendor lock-in, versus three closed-source, API-only rivals.
  • Proven at genuine production scale, not just funding hype: powers OpenAI’s ChatGPT Advanced Voice Mode, and named customers include xAI, Salesforce and Tesla.
  • A genuine free self-serve tier (1,000 agent-session minutes/month, no credit card) despite the company’s $1B valuation, real usage-based pricing published up through a $500/mo Scale tier, not sales-gated from the start.

Watch-outs

  • It is a framework and SDK, not a turnkey dashboard builder, you write and deploy agent code yourself, unlike this category’s other three platforms, which configure a working agent through a hosted API/dashboard with far less engineering lift.
  • The free tier’s $2.50 monthly inference credit covers only about 50 minutes of LiveKit-hosted model usage, a real deployment needs either metered LiveKit Inference credits or your own third-party provider API keys billed separately, on top of the agent-session-minute meter, the same stacked-cost pattern this category’s other metered vendors show.

Also note: A framework, not a no-code or dashboard-first builder, expect to write and deploy real code, unlike this category’s more configured rivals. · The free tier’s inference credit is small (~50 LiveKit-hosted minutes/month); real deployment cost depends on the LLM/STT/TTS providers and volume you choose, on top of the base agent-session-minute meter.

What is LiveKit Agents?

LiveKit Agents is an open-source (Apache 2.0) framework, from real-time infrastructure company LiveKit, for building voice AI agents that listen, think and speak in real time. Founded in 2021 by Russ d’Sa and David Zhao as a free, open-source WebRTC project for streaming real-time audio and video, LiveKit evolved into the infrastructure layer behind some of the industry’s highest-profile voice AI products, it powers OpenAI’s ChatGPT Advanced Voice Mode, and its named customers include xAI, Salesforce and Tesla. The company has raised $181.3M total, including a $100M Series C led by Index Ventures (with Salesforce Ventures) in January 2026 that valued it at $1B. Unlike this category’s other three listed platforms, all closed-source, API-metered SaaS you can only consume, LiveKit Agents is a framework you can fully self-host and inspect, with a managed LiveKit Cloud layer available if you’d rather not run the infrastructure yourself.

What does LiveKit Agents do?

You write agent code in Python or TypeScript using the open-source Agents SDK, wiring together a speech-to-text, LLM and text-to-speech pipeline (or a realtime speech-to-speech model) from a large plugin ecosystem, Deepgram, AssemblyAI, OpenAI, Anthropic, ElevenLabs, Cartesia and others, or route them through LiveKit’s own managed "Inference" gateway for one unified, credit-billed interface. The framework handles the real-time plumbing itself: turn detection, interruption handling, background-noise and voice filtering, and native SIP trunking for real phone calls, plus multi-agent handoffs. Deploy your own code to LiveKit Cloud (managed infrastructure, autoscaling, observability) or run it entirely on your own servers, the framework and SDKs are identical either way.

Key features

  • Open-source Agents SDK: Apache 2.0-licensed Python/TypeScript framework (11.5k+ GitHub stars); fully self-hostable, no vendor lock-in.
  • Provider-agnostic pipeline: Plug in Deepgram, AssemblyAI, OpenAI, Anthropic, ElevenLabs, Cartesia and more, or use LiveKit’s own managed Inference gateway.
  • Built-in real-time plumbing: Turn detection, interruption handling, background-voice/noise filtering and native SIP telephony out of the box.
  • LiveKit Cloud (optional): Managed deployment, autoscaling and observability if you don’t want to run your own infrastructure.

What are LiveKit Agents's use cases?

  • Custom enterprise voice agent: A platform team builds a bespoke phone agent on its own chosen models, self-hosted for full data control.
  • Voice agent inside an existing product: A team already using LiveKit’s real-time media infrastructure adds a voice agent without adopting a second vendor’s stack.

What does LiveKit Agents integrate with?

  • Speech & LLM providers — Deepgram, AssemblyAI, OpenAI, Anthropic, ElevenLabs, Cartesia and more via plugins, or LiveKit’s own managed Inference gateway
  • Telephony — native SIP trunking for inbound/outbound PSTN calls
  • Deployment — self-hosted on your own infrastructure, or LiveKit Cloud (managed)
  • Model Context Protocol (MCP) — first-class support for connecting agents to external MCP servers over HTTP or stdio

Why use LiveKit Agents?

  • The only genuinely open-source, self-hostable option in this category, full code visibility and no vendor lock-in.
  • Proven at serious production scale: powers OpenAI’s ChatGPT Advanced Voice Mode plus xAI, Salesforce and Tesla.
  • A real free tier (1,000 agent-session minutes/month, no credit card) even though the company is valued at $1B.

Pros & cons

Pros

  • The only open-source, self-hostable framework in this category (Apache 2.0, 11.5k+ GitHub stars), full code visibility and no vendor lock-in, versus three closed-source, API-only rivals.
  • Proven at genuine production scale, not just funding hype: powers OpenAI’s ChatGPT Advanced Voice Mode, and named customers include xAI, Salesforce and Tesla.
  • A genuine free self-serve tier (1,000 agent-session minutes/month, no credit card) despite the company’s $1B valuation, real usage-based pricing published up through a $500/mo Scale tier, not sales-gated from the start.

Cons

  • It is a framework and SDK, not a turnkey dashboard builder, you write and deploy agent code yourself, unlike this category’s other three platforms, which configure a working agent through a hosted API/dashboard with far less engineering lift.
  • The free tier’s $2.50 monthly inference credit covers only about 50 minutes of LiveKit-hosted model usage, a real deployment needs either metered LiveKit Inference credits or your own third-party provider API keys billed separately, on top of the agent-session-minute meter, the same stacked-cost pattern this category’s other metered vendors show.

Limitations

  • A framework, not a no-code or dashboard-first builder, expect to write and deploy real code, unlike this category’s more configured rivals.
  • The free tier’s inference credit is small (~50 LiveKit-hosted minutes/month); real deployment cost depends on the LLM/STT/TTS providers and volume you choose, on top of the base agent-session-minute meter.

LiveKit Agents pricing

$0/month

  • Build$0 / /month
  • Ship$50 / /month starting
  • Scale$500 / /month starting
  • EnterpriseCustom

See current pricing on livekit.com ↗Compare LiveKit Agents alternatives →

LiveKit Agents specs

Pricing

Pricing model
freemium
Free tier
✓ Yes

Capabilities

Model / LLM
Model-agnostic (bring your own or LiveKit-hosted Inference)
Interface
API
Public API
✓ Yes
Open source
✓ Yes

Deployment

Deployment
Self-hosted or Cloud

LiveKit Agents review

LiveKit Agents is the one genuinely open-source, self-hostable option among this category’s voice agent platforms, an Apache 2.0 framework, not a closed API you can only rent. That openness comes from a company with real weight behind it: a $1B valuation on $181.3M raised, and infrastructure serious enough that OpenAI runs ChatGPT’s Advanced Voice Mode on it alongside customers like xAI, Salesforce and Tesla. The tradeoff is real: unlike Vapi, Retell AI, Bland AI or ElevenLabs Conversational AI, there is no hosted dashboard that gets you a working agent in an afternoon, you write and deploy code, choosing and wiring your own STT/LLM/TTS providers (or LiveKit’s managed Inference gateway) yourself. Pick LiveKit Agents if engineering ownership, self-hosting or avoiding vendor lock-in matter more than a fast, no-code start; skip it if you want a turnkey agent live without writing code.

The open-source pick in this category, real engineering ownership and no vendor lock-in, at the cost of assembling the pipeline yourself.

Frequently asked questions

Is LiveKit Agents really open source?
Yes, the Agents framework is Apache 2.0-licensed and fully open on GitHub (11.5k+ stars), with source you can inspect, modify and self-host. LiveKit Cloud is an optional managed layer on top, not a requirement.
How much does LiveKit Agents cost?
The Build tier is free (1,000 agent-session minutes/month, no credit card). Ship starts at $50/month (5,000 minutes included, then $0.01/min), Scale starts at $500/month (50,000 minutes included), and Enterprise is custom-priced. Each tier also includes a small inference credit for LiveKit-hosted LLM/STT/TTS usage, heavier model usage bills separately, either through LiveKit’s metered Inference gateway or your own provider API keys.
Who actually uses LiveKit in production?
OpenAI runs ChatGPT’s Advanced Voice Mode on LiveKit’s infrastructure, serving voice conversations at very large scale. Other named customers include xAI, Salesforce and Tesla, and LiveKit also cites use by 911 emergency-service operators and mental health providers.
Do I have to use LiveKit Cloud, or can I self-host?
Both are supported. The Agents SDK and framework are the same either way, deploy your own code to LiveKit Cloud for managed infrastructure and autoscaling, or run it entirely on your own servers if you want full control.
How is this different from Vapi or Retell AI?
Vapi and Retell AI are closed-source, hosted APIs you configure through a dashboard, you rent the orchestration layer. LiveKit Agents is an open-source framework you write code against and can fully self-host; the tradeoff is more engineering ownership in exchange for no vendor lock-in and full code visibility.

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