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Pipecat is an open source Python framework designed for building real-time voice and multimodal conversational AI agents. It provides developers with tools to orchestrate complex pipelines that combine speech recognition, language models, audio processing, and speech synthesis into a cohesive conversational system. Pipecat focuses on low-latency interactions so voice conversations with AI feel natural and responsive during live use. Pipecat allows applications to integrate multiple AI services and transports, enabling flexible deployment across different environments and communication channels. Developers can create a wide range of interactive systems including voice assistants, customer service agents, interactive storytelling applications, and multimodal interfaces that combine voice, video, images, and text. Its modular architecture allows components to be composed into pipelines that process audio, text, and video streams in real time.
Features
- Real-time voice AI pipeline with speech recognition and speech synthesis
- Modular pipeline architecture for combining AI services and processors
- Support for multimodal interactions including audio, video, images, and text
- Integration with multiple AI providers and language model services
- Transport support for real-time communication technologies like WebRTC
- Tools and SDK ecosystem for building and deploying conversational agents
Project Samples
