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Pipecat

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Open Source framework for voice and multimodal conversational AI. ![GitHub Repo stars](https://img.shields.io/github/stars/pipecat-ai/pipecat?style=social)

FreeFree tier
Inputs: audio, videoOutputs: audio, video
Type
Open Source
Visit Website GitHub (40 stars)

About Pipecat

Pipecat is an open-source Python framework designed for building real-time voice and multimodal conversational AI agents. It enables developers to create voice assistants, multi-agent systems, AI companions, interactive storytelling tools, business agents, and complex dialog systems. Pipecat integrates speech recognition, text-to-speech, and conversation handling with a pluggable architecture that supports numerous AI services. Its composable pipelines allow for modular behavior, and its multi-agent design supports handoffs, parallel fan-out, sidecar workers, and distributed deployments. The ecosystem includes client SDKs for JavaScript, React, React Native, Swift, Kotlin, C++, and ESP32, as well as Pipecat Flows for structured conversations, a Voice UI Kit for building user interfaces, and a CLI for project scaffolding, monitoring, and deployment.

Key Features

Voice-first design with integrated speech recognition and text-to-speech
Pluggable architecture supporting many AI services and tools
Composable pipelines for building complex behavior from modular components
Multi-agent ready: handoff, parallel fan-out, sidecar workers, and distributed deployments
Real-time ultra-low latency interaction with WebSockets or WebRTC transports
Client SDKs for JavaScript, React, React Native, Swift, Kotlin, C++, and ESP32
Built-in Pipecat Flows for structured conversations with state management
Voice UI Kit for building beautiful voice AI application interfaces
CLI tool for project initialization, monitoring, and deployment

Pros & Cons

Pros
  • Open-source and free to use
  • Voice-first architecture optimized for real-time interaction
  • Highly modular and composable pipeline design
  • Built-in support for multi-agent coordination and distribution
  • Rich ecosystem with client SDKs, UI kit, and CLI tools
  • Ultra-low latency with WebRTC and WebSocket transports
Cons
  • Requires integration with external AI services for speech recognition, TTS, and other AI capabilities
  • Multi-agent system design can introduce complexity for newcomers
  • Primarily Python-based, limiting non-Python backend integration

Best For

Voice assistants with natural streaming conversationsMulti-agent systems where specialists hand off or coordinateAI companions such as coaches and meeting assistantsMultimodal interfaces combining voice, video, and imagesInteractive storytelling with generative mediaBusiness agents for customer intake, support bots, and guided flowsComplex dialog systems with structured conversation logic

FAQ

What is Pipecat?
Pipecat is an open-source Python framework for building real-time voice and multimodal conversational AI agents.
What can I build with Pipecat?
You can build voice assistants, multi-agent systems, AI companions, multimodal interfaces, interactive storytelling tools, business agents, and complex dialog systems.
Is Pipecat free?
Yes, Pipecat is open-source and free to use. It is published under an open-source license on GitHub.
What programming language does Pipecat use?
Pipecat is built in Python for the backend, and provides client SDKs in JavaScript, React, React Native, Swift, Kotlin, C++, and ESP32.
Does Pipecat support multi-agent systems?
Yes, Pipecat is multi-agent ready. You can compose agents with handoffs, parallel fan-out, sidecar workers, or distributed deployments.