Python framework for building real-time voice agents!
Pipecat is an open-source framework for orchestrating audio, video, AI services, transports, and conversation pipelines. Voice-first architecture with pluggable components.
What you can build: voice assistants, AI companions, multimodal interfaces, interactive storytelling, business agents like customer support and intake, and more complex dialog systems.
The framework handles speech recognition, text-to-speech, conversation logic, and real-time interaction. WebRTC and WebSocket transport are built in, with a focus on low-latency conversations.
Why Pipecat:
• Voice-first: integrates STT, TTS, and conversation handling in one framework
• Pluggable: supports multiple AI service providers for each capability
• Composable pipelines: build more complex behavior from modular components
• Real-time: designed for streaming audio/video interactions
One thing that becomes important with frameworks like this is what happens before speech even reaches the STT layer.
I went deeper into that in the article I’m quoting below, especially around the second-speaker problem and why accurate transcription alone is not enough for reliable voice agents.
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