pipecat README

The project's README from github.com/pipecat-ai/pipecat. As one markdown file: README.md.

pipecat

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🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Build a single voice agent or a full multi-agent system where specialists hand off, fan out in parallel, and coordinate over a shared bus, locally or distributed across processes and machines. Orchestrate audio and video, AI services, transports, and conversation pipelines effortlessly, so you can focus on what makes your agents unique.

Want to dive right in? Run pipecat init quickstart or follow the quickstart guide.

🚀 What you can build

🧠 Why Pipecat?

🌐 Pipecat ecosystem

📱 Client SDKs

Building client applications? You can connect to Pipecat from any platform using our official SDKs:

JavaScript | React | React Native | Swift | Kotlin | C++ | ESP32

🧭 Structured conversations

Need predefined or dynamic conversation paths with state management? Pipecat Flows is built into Pipecat. Browse the examples to see it in action.

🪄 Beautiful UIs

Want to build beautiful and engaging experiences? Checkout the Voice UI Kit, a collection of components, hooks and templates for building voice AI applications quickly.

🛠️ Create and deploy projects

The Pipecat CLI ships with pipecat-ai — install it with uv tool install "pipecat-ai[cli]". Run pipecat init to start a project: it sets you up so an AI coding assistant (Claude Code, Codex) builds it for you, and can scaffold a runnable bot in under a minute. Then use the CLI to monitor and deploy your agent to production.

🔍 Debugging

Looking for help debugging your pipeline and processors? Check out Whisker, a real-time Pipecat debugger.

🖥️ Terminal

Love terminal applications? Check out Tail, a terminal dashboard for Pipecat.

🤖 Claude Code skills

Use Pipecat Skills with Claude Code to scaffold projects, deploy to Pipecat Cloud, and more. Install the marketplace with:

claude plugin marketplace add pipecat-ai/skills

and install any of the available plugins.

🧩 Community integrations

Build and share your own Pipecat service integrations! Browse existing community integrations or check out our guide to create your own.

📺️ Pipecat TV channel

Catch new features, interviews, and how-tos on our Pipecat TV channel.

🎬 See it in action

 
 

🧩 Available services

Category Services
Speech-to-Text AssemblyAI, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fal Wizper, FunASR, Gladia, Google, Gradium, Groq (Whisper), Meta, Mistral, Moonshine, NVIDIA, OpenAI (Whisper), Sarvam, Soniox, Speechmatics, Together, Whisper, xAI
LLMs Anthropic, AWS, Azure, Baseten, Cerebras, Crusoe, DeepSeek, Fireworks AI, Gemini, Grok, Groq, Inception, Mistral, Nebius, Novita, NVIDIA NIM, Ollama, OpenAI, OpenAI Responses, OpenRouter, Perplexity, Qwen, SambaNova, Sarvam, Together AI
Text-to-Speech Async, AWS, Azure, Bland, Camb AI, Cartesia, Deepgram, ElevenLabs, Fish, Google, Gradium, Groq, Hume, Inworld, Kokoro, MiniMax, Mistral, Neuphonic, NVIDIA, OpenAI, Piper, Resemble, Rime, Sarvam, Smallest, Soniox, Speechify, Speechmatics, Together, xAI, XTTS
Speech-to-Speech AWS Nova Sonic, Gemini Multimodal Live, Grok Voice Agent, OpenAI Realtime, Ultravox,

pipecat (pipecat-ai/pipecat)

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What is this?Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents — from a single voice bot to a distributed multi-agent system — maintained by Daily and the community.
So it's a framework I write code against, not a ready-made app I install?It's a code-first Python framework: you compose agent pipelines from modular components (speech, AI services, transports) and run them server-side.
How do I get my first agent running?Run pipecat init quickstart to get a working agent, or follow the quickstart guide linked in the README.
Which speech and AI services can I plug into it?It ships adapters for dozens of services: speech-to-text (Deepgram, AssemblyAI, Whisper), LLMs (OpenAI, Anthropic, Gemini, Ollama), text-to-speech (ElevenLabs, Cartesia, Piper) and speech-to-speech (OpenAI Realtime, Gemini Multimodal Live).
Is this for developers writing code, or is there a no-code editor?Developers: you build agents by writing Python pipelines; the README mentions no visual or no-code builder.
How does my app or device connect to a Pipecat agent?Clients connect over real-time transports like WebSockets or WebRTC with ultra-low latency, and official client SDKs let you connect from any platform.
What can I actually build with it?The README highlights voice assistants, multi-agent systems, AI companions like coaches or meeting assistants, multimodal interfaces with voice and video, interactive storytelling with generative media, business agents for support and intake, and structured dialog systems.
Can it run multiple agents that work together?Yes. Each pipeline is an agent, and Pipecat supports specialists that hand off to each other, fan out in parallel, run as sidecar workers, or coordinate over a shared bus — locally or distributed across processes and machines.
Do I have to use paid cloud APIs, or can it run local models?Local options are among the supported adapters: Ollama for LLMs, Piper and Kokoro for text-to-speech, and Whisper or FunASR for speech-to-text.
Is it fast enough for natural back-and-forth conversation?Pipecat is built for real-time use: it targets ultra-low-latency interaction and supports transports such as WebSockets and WebRTC.
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pipecat-ai
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205.8 MB
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Commits · 90 Days