LiveKit AgentsvsPipecat
WebRTC-first framework for real-time voice AI agents versus Open-source framework for real-time voice and multimodal AI agents
Compare interactively in Explore →Choose LiveKit Agents when…
- •You need production-grade WebRTC infrastructure for voice AI
- •You're building multi-participant or real-time voice agent sessions
- •You want the lowest latency possible for interactive voice applications
Choose Pipecat when…
- •You want code-level control over your full voice agent pipeline
- •You're building real-time multimodal agents that handle voice and vision together
- •You need to mix and match STT, LLM, and TTS providers freely
Side-by-side comparison
LiveKit Agents
Real-time voice agent framework built on LiveKit's WebRTC infrastructure. Handles low-latency audio streaming, voice activity detection, and multi-participant sessions. Strong for production deployments where latency and scalability are critical. 9K+ GitHub stars.
Pipecat
Python framework for building real-time voice and multimodal conversational agents. Handles the full low-latency pipeline — STT → LLM → TTS — with 40+ provider integrations. The most developer-friendly OSS option for building production voice agents where you need code-level control.
Shared Connections3 tools both integrate with
Only LiveKit Agents (1)
Only Pipecat (1)
Explore the full AI landscape
See how LiveKit Agents and Pipecat fit into the bigger picture — 235 tools, 543 relationships, all mapped.