PipecatvsVapi
Open-source framework for real-time voice and multimodal AI agents versus Voice agent middleware for production phone and web agents
Compare interactively in Explore →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
Choose Vapi when…
- •You're building phone or web voice agents with real-time conversation
- •You need multi-provider LLM + TTS + STT routing in one platform
- •You want production-grade call analytics and interruption handling
Side-by-side comparison
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.
Vapi
Full-stack platform for building, testing, and deploying voice AI agents. Handles real-time telephony, multi-provider LLM routing, interruption detection, and call analytics. Most-adopted voice agent infrastructure in production.
Shared Connections3 tools both integrate with
Only Pipecat (1)
Only Vapi (3)
Explore the full AI landscape
See how Pipecat and Vapi fit into the bigger picture — 235 tools, 543 relationships, all mapped.