Open-source WebRTC framework + cloud platform for real-time voice, video, and AI agents — the data-plane behind ChatGPT's voice mode.
Last updated — most recent reviewer submission in our set.
LiveKit is the open-source WebRTC framework and cloud platform that powers AI voice agents at infrastructure scale — OpenAI uses it to deliver ChatGPT's voice mode. Engineering teams pick it for low-latency real-time audio and video and an open-source escape hatch. It is lower-level than Vapi or Retell; you compose more of the agent stack yourself.
LiveKit ships an open-source media server and a managed cloud that engineering teams use to build real-time voice, video, and AI agent applications. It is the most infrastructural product in this category: rather than a turnkey voice agent platform, LiveKit provides the WebRTC plumbing, the SFU, the SDKs, and the agents framework that engineering teams compose on top of. OpenAI uses LiveKit for ChatGPT voice mode; Skydio uses it for drone teleoperation; Spotify, Tesla, Salesforce, Headspace, and Coursera are public customers.
The trade-off is that LiveKit is a primitive, not a finished product. Teams that want a no-code agent builder, opinionated voice-agent defaults, or a CRM-native surface will find Retell, Vapi, or Thoughtly a faster path. Teams shipping voice or video as a feature inside their own product — and that want an open-source self-host option — frequently land on LiveKit.
45 verified submissions.
We push odds and in-game props through a real-time channel to about 90k bettors on a busy Sunday. LiveKits data channels handled it without us needing to scramble. Game-day SRE work used to mean four engineers on call; this season we ran with two and one of them was on backup duty. Wed already done load tests but the production margin was bigger then expected.
We sell an AI receptionist to dental offices and our entire product depends on the phone path being reliable. LiveKits SIP trunk integration was the single hardest thing to get right and they made it ten times easier than what wed built on Twilio. Were now in 240 practices and havent had a missed-call incident in five months. HIPAA conformance was a question we could answer cleanly during procurement.
Court interpreting requires three parties on a call — judge, defendant, interpreter — with very tight latency windows. We tried two other RTC stacks before LiveKit and both fell over on the audio routing at three-plus participants. LiveKit handled it the first day, interpreter feedback was instantly better. Docs on transcript egress arent the most thorough but support unblocked us in a couple of hours.
Reliability has been everything we needed for our KYC voice agent in production — 99.9-plus uptime over twelve months. The friction is on the cloud pricing side: forecasting cost at our growth rate took two analyst-weeks and we still get surprised by edge case minutes. Self-hosting is on the table for the next phase, the option being there is part of what we like.
We were building our own VAD layer and burning weeks of engineering time on it. Switched to LiveKits semantic turn detection and immediately got better results then our homegrown stack — fewer interruptions, fewer awkward pauses on barge-in. Reclaimed three engineers from the audio layer and pointed them back at the actual product. Thats a rare win in this category.
The actual real-time audio pipeline is the best in this space — sub-second turn detection on multi-leg phone trips that pass through three timezones. Where we wish for more is observability dashboards out of the box. ive built a lot of grafana panels myself to get the views my team needs at 2am during an incident. Worth it but a friction point.
Buyer questions about LiveKit, answered against our reviewer set.
LiveKit is best for engineering teams that need a real-time data plane for voice, video, or AI agents — and that want an open-source self-host option. It's the data plane behind ChatGPT's voice mode and is used by Spotify, Tesla, Skydio, and Headspace.
Both. The media server, SDKs, and agents framework are open source and self-hostable. LiveKit Cloud is a managed offering on top, with usage-based pricing. Teams can start on the open-source side and migrate to cloud as scale requires.
LiveKit is lower-level. Vapi and Retell ship opinionated voice-agent platforms — bring a prompt, pick a model, ship. LiveKit ships WebRTC infrastructure that you compose agents on top of. Engineering teams that want maximum control land on LiveKit; teams that want a turnkey agent product land on Vapi or Retell.
Yes — via the LiveKit Agents framework, which integrates with major LLMs, TTS, and STT providers. The framework gives you the audio pipeline, turn-taking, and tool calls. You bring the prompt, the model, and the orchestration logic.
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