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LiveKit vs Pipecat

A side-by-side comparison of LiveKit and Pipecat, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

LiveKit

Infra

Open-source framework and cloud for realtime voice, video, and physical AI agents.

View LiveKit

Pipecat

Voice

Open-source framework for real-time voice and multimodal AI agents.

View Pipecat

At a glance

Feature comparison of LiveKit and Pipecat
AttributeLiveKitPipecat
Category (differs)InfraVoice
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
Platforms (differs)Web, API, CLIAPI, Web, iOS, Android
Model support (differs)Model-agnosticMulti-model
Vendor (differs)LiveKit, Inc.Daily

The honest brief

LiveKit

The open-source realtime layer most voice-agent stacks run on — sub-second STT-LLM-TTS with turn detection, interruptions, and telephony, BYO models.

  • Powers ChatGPT Advanced Voice in production
  • Self-hostable, with telephony built in
  • BYO STT/LLM/TTS — no model lock-in
  • Reliable turn detection and interruptions
  • Managed cloud option alongside the OSS
  • Developer infrastructure, not a no-code product
  • You assemble and pay for STT/LLM/TTS separately
  • Realtime media ops add operational complexity

Pipecat

Vendor-neutral, it wires 40+ STT, LLM, and TTS services into one low-latency pipeline — unlike single-vendor voice-agent platforms.

  • Self-hostable, no vendor lock-in
  • Mix and match any STT, LLM, and TTS
  • Real-time listen, speak, and see
  • Client SDKs across web/mobile/embedded
  • Optional managed Pipecat Cloud
  • Python framework, not a no-code tool
  • You wire and pay for each AI service
  • Tuning latency needs real expertise
  • Smaller ecosystem than hosted rivals
LiveKit detailsPipecat details