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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. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.

Want to dive right in? Try the quickstart.

🚀 What You Can Build

  • Voice Assistants – natural, streaming conversations with AI
  • AI Companions – coaches, meeting assistants, characters
  • Multimodal Interfaces – voice, video, images, and more
  • Interactive Storytelling – creative tools with generative media
  • Business Agents – customer intake, support bots, guided flows
  • Complex Dialog Systems – design logic with structured conversations

🧠 Why Pipecat?

  • Voice-first: Integrates speech recognition, text-to-speech, and conversation handling
  • Pluggable: Supports many AI services and tools
  • Composable Pipelines: Build complex behavior from modular components
  • Real-Time: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)

🌐 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

Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.

🪄 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.

🔍 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.

📺️ Pipecat TV Channel

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

🎬 See it in action


🧩 Available services

CategoryServices
Speech-to-TextAssemblyAI, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fal Wizper, Gladia, Google, Groq (Whisper), NVIDIA Riva, OpenAI (Whisper), SambaNova (Whisper), Soniox, Speechmatics, Ultravox, Whisper
LLMsAnthropic, AWS, Azure, Cerebras, DeepSeek, Fireworks AI, Gemini, Grok, Groq, Mistral, NVIDIA NIM, Ollama, OpenAI, OpenRouter, Perplexity, Qwen, SambaNovaTogether AI
Text-to-SpeechAsync, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fish, Google, Groq, Hume, Inworld, LMNT, MiniMax, Neuphonic, NVIDIA Riva, OpenAI, Piper, PlayHT, Rime, Sarvam, XTTS
Speech-to-SpeechAWS Nova Sonic, Gemini Multimodal Live, OpenAI Realtime
TransportDaily (WebRTC), FastAPI Websocket, SmallWebRTCTransport, WebSocket Server, Local
SerializersPlivo, Twilio, Telnyx
VideoHeyGen, Tavus, Simli
Memorymem0
Vision & Imagefal, Google Imagen, Moondream
Audio ProcessingSilero VAD, Krisp, Koala, ai-coustics
Analytics & MetricsOpenTelemetry, Sentry

📚 View full services documentation →

⚡ Getting started

You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.

  1. Install uv

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Need help? Refer to the uv install documentation.

  2. Install the module

    # For new projects
    uv init my-pipecat-app
    cd my-pipecat-app
    uv add pipecat-ai
    # Or for existing projects
    uv add pipecat-ai
  3. Set up your environment

    cp env.example .env
  4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:

    uv add "pipecat-ai[option,...]"

Using pip? You can still use pip install pipecat-ai and pip install "pipecat-ai[option,...]" to get set up.

🧪 Code examples

  • Foundational — small snippets that build on each other, introducing one or two concepts at a time
  • Example apps — complete applications that you can use as starting points for development

🛠️ Contributing to the framework

Prerequisites

Minimum Python Version: 3.10 Recommended Python Version: 3.12

Setup Steps

  1. Clone the repository and navigate to it:

    git clone https://github.com/pipecat-ai/pipecat.git
    cd pipecat
  2. Install development and testing dependencies:

    uv sync --group dev --all-extras \
    --no-extra gstreamer \
    --no-extra krisp \
    --no-extra local \
    --no-extra ultravox # (ultravox not fully supported on macOS)
  3. Install the git pre-commit hooks:

    uv run pre-commit install

Note: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.

Running tests

To run all tests, from the root directory:

uv run pytest

Run a specific test suite:

uv run pytest tests/test_name.py

🤝 Contributing

We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:

  • Found a bug? Open an issue
  • Have a feature idea? Start a discussion
  • Want to contribute code? Check our CONTRIBUTING.md guide
  • Documentation improvements?Docs PRs are always welcome

Before submitting a pull request, please check existing issues and PRs to avoid duplicates.

We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.

🛟 Getting help

➡️ Join our Discord

➡️ Read the docs

➡️ Reach us on X

About

Open Source framework for voice and multimodal conversational AI

Resources

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

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pipecat

PyPITestscodecovDocsDiscordAsk DeepWiki

🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.

Want to dive right in? Try the quickstart.

🚀 What You Can Build

  • Voice Assistants – natural, streaming conversations with AI
  • AI Companions – coaches, meeting assistants, characters
  • Multimodal Interfaces – voice, video, images, and more
  • Interactive Storytelling – creative tools with generative media
  • Business Agents – customer intake, support bots, guided flows
  • Complex Dialog Systems – design logic with structured conversations

🧠 Why Pipecat?

  • Voice-first: Integrates speech recognition, text-to-speech, and conversation handling
  • Pluggable: Supports many AI services and tools
  • Composable Pipelines: Build complex behavior from modular components
  • Real-Time: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)

🌐 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

Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.

🪄 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.

🔍 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.

📺️ Pipecat TV Channel

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

🎬 See it in action


🧩 Available services

CategoryServices
Speech-to-TextAssemblyAI, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fal Wizper, Gladia, Google, Groq (Whisper), NVIDIA Riva, OpenAI (Whisper), SambaNova (Whisper), Soniox, Speechmatics, Ultravox, Whisper
LLMsAnthropic, AWS, Azure, Cerebras, DeepSeek, Fireworks AI, Gemini, Grok, Groq, Mistral, NVIDIA NIM, Ollama, OpenAI, OpenRouter, Perplexity, Qwen, SambaNovaTogether AI
Text-to-SpeechAsync, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fish, Google, Groq, Hume, Inworld, LMNT, MiniMax, Neuphonic, NVIDIA Riva, OpenAI, Piper, PlayHT, Rime, Sarvam, XTTS
Speech-to-SpeechAWS Nova Sonic, Gemini Multimodal Live, OpenAI Realtime
TransportDaily (WebRTC), FastAPI Websocket, SmallWebRTCTransport, WebSocket Server, Local
SerializersPlivo, Twilio, Telnyx
VideoHeyGen, Tavus, Simli
Memorymem0
Vision & Imagefal, Google Imagen, Moondream
Audio ProcessingSilero VAD, Krisp, Koala, ai-coustics
Analytics & MetricsOpenTelemetry, Sentry

📚 View full services documentation →

⚡ Getting started

You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.

  1. Install uv

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Need help? Refer to the uv install documentation.

  2. Install the module

    # For new projects
    uv init my-pipecat-app
    cd my-pipecat-app
    uv add pipecat-ai
    # Or for existing projects
    uv add pipecat-ai
  3. Set up your environment

    cp env.example .env
  4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:

    uv add "pipecat-ai[option,...]"

Using pip? You can still use pip install pipecat-ai and pip install "pipecat-ai[option,...]" to get set up.

🧪 Code examples

  • Foundational — small snippets that build on each other, introducing one or two concepts at a time
  • Example apps — complete applications that you can use as starting points for development

🛠️ Contributing to the framework

Prerequisites

Minimum Python Version: 3.10 Recommended Python Version: 3.12

Setup Steps

  1. Clone the repository and navigate to it:

    git clone https://github.com/pipecat-ai/pipecat.git
    cd pipecat
  2. Install development and testing dependencies:

    uv sync --group dev --all-extras \
    --no-extra gstreamer \
    --no-extra krisp \
    --no-extra local \
    --no-extra ultravox # (ultravox not fully supported on macOS)
  3. Install the git pre-commit hooks:

    uv run pre-commit install

Note: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.

Running tests

To run all tests, from the root directory:

uv run pytest

Run a specific test suite:

uv run pytest tests/test_name.py

🤝 Contributing

We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:

  • Found a bug? Open an issue
  • Have a feature idea? Start a discussion
  • Want to contribute code? Check our CONTRIBUTING.md guide
  • Documentation improvements?Docs PRs are always welcome

Before submitting a pull request, please check existing issues and PRs to avoid duplicates.

We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.

🛟 Getting help

➡️ Join our Discord

➡️ Read the docs

➡️ Reach us on X

About

Open Source framework for voice and multimodal conversational AI

Resources

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

pipecat

PyPITestscodecovDocsDiscordAsk DeepWiki

🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.

Want to dive right in? Try the quickstart.

🚀 What You Can Build

  • Voice Assistants – natural, streaming conversations with AI
  • AI Companions – coaches, meeting assistants, characters
  • Multimodal Interfaces – voice, video, images, and more
  • Interactive Storytelling – creative tools with generative media
  • Business Agents – customer intake, support bots, guided flows
  • Complex Dialog Systems – design logic with structured conversations

🧠 Why Pipecat?

  • Voice-first: Integrates speech recognition, text-to-speech, and conversation handling
  • Pluggable: Supports many AI services and tools
  • Composable Pipelines: Build complex behavior from modular components
  • Real-Time: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)

🌐 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

Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.

🪄 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.

🔍 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.

📺️ Pipecat TV Channel

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

🎬 See it in action


🧩 Available services

CategoryServices
Speech-to-TextAssemblyAI, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fal Wizper, Gladia, Google, Groq (Whisper), NVIDIA Riva, OpenAI (Whisper), SambaNova (Whisper), Soniox, Speechmatics, Ultravox, Whisper
LLMsAnthropic, AWS, Azure, Cerebras, DeepSeek, Fireworks AI, Gemini, Grok, Groq, Mistral, NVIDIA NIM, Ollama, OpenAI, OpenRouter, Perplexity, Qwen, SambaNovaTogether AI
Text-to-SpeechAsync, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fish, Google, Groq, Hume, Inworld, LMNT, MiniMax, Neuphonic, NVIDIA Riva, OpenAI, Piper, PlayHT, Rime, Sarvam, XTTS
Speech-to-SpeechAWS Nova Sonic, Gemini Multimodal Live, OpenAI Realtime
TransportDaily (WebRTC), FastAPI Websocket, SmallWebRTCTransport, WebSocket Server, Local
SerializersPlivo, Twilio, Telnyx
VideoHeyGen, Tavus, Simli
Memorymem0
Vision & Imagefal, Google Imagen, Moondream
Audio ProcessingSilero VAD, Krisp, Koala, ai-coustics
Analytics & MetricsOpenTelemetry, Sentry

📚 View full services documentation →

⚡ Getting started

You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.

  1. Install uv

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Need help? Refer to the uv install documentation.

  2. Install the module

    # For new projects
    uv init my-pipecat-app
    cd my-pipecat-app
    uv add pipecat-ai
    # Or for existing projects
    uv add pipecat-ai
  3. Set up your environment

    cp env.example .env
  4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:

    uv add "pipecat-ai[option,...]"

Using pip? You can still use pip install pipecat-ai and pip install "pipecat-ai[option,...]" to get set up.

🧪 Code examples

  • Foundational — small snippets that build on each other, introducing one or two concepts at a time
  • Example apps — complete applications that you can use as starting points for development

🛠️ Contributing to the framework

Prerequisites

Minimum Python Version: 3.10 Recommended Python Version: 3.12

Setup Steps

  1. Clone the repository and navigate to it:

    git clone https://github.com/pipecat-ai/pipecat.git
    cd pipecat
  2. Install development and testing dependencies:

    uv sync --group dev --all-extras \
    --no-extra gstreamer \
    --no-extra krisp \
    --no-extra local \
    --no-extra ultravox # (ultravox not fully supported on macOS)
  3. Install the git pre-commit hooks:

    uv run pre-commit install

Note: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.

Running tests

To run all tests, from the root directory:

uv run pytest

Run a specific test suite:

uv run pytest tests/test_name.py

🤝 Contributing

We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:

  • Found a bug? Open an issue
  • Have a feature idea? Start a discussion
  • Want to contribute code? Check our CONTRIBUTING.md guide
  • Documentation improvements?Docs PRs are always welcome

Before submitting a pull request, please check existing issues and PRs to avoid duplicates.

We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.

🛟 Getting help

➡️ Join our Discord

➡️ Read the docs

➡️ Reach us on X

About

Open Source framework for voice and multimodal conversational AI

Resources

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

pipecat

PyPITestscodecovDocsDiscordAsk DeepWiki

🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.

Want to dive right in? Try the quickstart.

🚀 What You Can Build

  • Voice Assistants – natural, streaming conversations with AI
  • AI Companions – coaches, meeting assistants, characters
  • Multimodal Interfaces – voice, video, images, and more
  • Interactive Storytelling – creative tools with generative media
  • Business Agents – customer intake, support bots, guided flows
  • Complex Dialog Systems – design logic with structured conversations

🧠 Why Pipecat?

  • Voice-first: Integrates speech recognition, text-to-speech, and conversation handling
  • Pluggable: Supports many AI services and tools
  • Composable Pipelines: Build complex behavior from modular components
  • Real-Time: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)

🌐 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

Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.

🪄 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.

🔍 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.

📺️ Pipecat TV Channel

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

🎬 See it in action


🧩 Available services

CategoryServices
Speech-to-TextAssemblyAI, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fal Wizper, Gladia, Google, Groq (Whisper), NVIDIA Riva, OpenAI (Whisper), SambaNova (Whisper), Soniox, Speechmatics, Ultravox, Whisper
LLMsAnthropic, AWS, Azure, Cerebras, DeepSeek, Fireworks AI, Gemini, Grok, Groq, Mistral, NVIDIA NIM, Ollama, OpenAI, OpenRouter, Perplexity, Qwen, SambaNovaTogether AI
Text-to-SpeechAsync, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fish, Google, Groq, Hume, Inworld, LMNT, MiniMax, Neuphonic, NVIDIA Riva, OpenAI, Piper, PlayHT, Rime, Sarvam, XTTS
Speech-to-SpeechAWS Nova Sonic, Gemini Multimodal Live, OpenAI Realtime
TransportDaily (WebRTC), FastAPI Websocket, SmallWebRTCTransport, WebSocket Server, Local
SerializersPlivo, Twilio, Telnyx
VideoHeyGen, Tavus, Simli
Memorymem0
Vision & Imagefal, Google Imagen, Moondream
Audio ProcessingSilero VAD, Krisp, Koala, ai-coustics
Analytics & MetricsOpenTelemetry, Sentry

📚 View full services documentation →

⚡ Getting started

You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.

  1. Install uv

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Need help? Refer to the uv install documentation.

  2. Install the module

    # For new projects
    uv init my-pipecat-app
    cd my-pipecat-app
    uv add pipecat-ai
    # Or for existing projects
    uv add pipecat-ai
  3. Set up your environment

    cp env.example .env
  4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:

    uv add "pipecat-ai[option,...]"

Using pip? You can still use pip install pipecat-ai and pip install "pipecat-ai[option,...]" to get set up.

🧪 Code examples

  • Foundational — small snippets that build on each other, introducing one or two concepts at a time
  • Example apps — complete applications that you can use as starting points for development

🛠️ Contributing to the framework

Prerequisites

Minimum Python Version: 3.10 Recommended Python Version: 3.12

Setup Steps

  1. Clone the repository and navigate to it:

    git clone https://github.com/pipecat-ai/pipecat.git
    cd pipecat
  2. Install development and testing dependencies:

    uv sync --group dev --all-extras \
    --no-extra gstreamer \
    --no-extra krisp \
    --no-extra local \
    --no-extra ultravox # (ultravox not fully supported on macOS)
  3. Install the git pre-commit hooks:

    uv run pre-commit install

Note: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.

Running tests

To run all tests, from the root directory:

uv run pytest

Run a specific test suite:

uv run pytest tests/test_name.py

🤝 Contributing

We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:

  • Found a bug? Open an issue
  • Have a feature idea? Start a discussion
  • Want to contribute code? Check our CONTRIBUTING.md guide
  • Documentation improvements?Docs PRs are always welcome

Before submitting a pull request, please check existing issues and PRs to avoid duplicates.

We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.

🛟 Getting help

➡️ Join our Discord

➡️ Read the docs

➡️ Reach us on X

About

Open Source framework for voice and multimodal conversational AI

Resources

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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pipecat

PyPITestscodecovDocsDiscordAsk DeepWiki

🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.

Want to dive right in? Try the quickstart.

🚀 What You Can Build

  • Voice Assistants – natural, streaming conversations with AI
  • AI Companions – coaches, meeting assistants, characters
  • Multimodal Interfaces – voice, video, images, and more
  • Interactive Storytelling – creative tools with generative media
  • Business Agents – customer intake, support bots, guided flows
  • Complex Dialog Systems – design logic with structured conversations

🧠 Why Pipecat?

  • Voice-first: Integrates speech recognition, text-to-speech, and conversation handling
  • Pluggable: Supports many AI services and tools
  • Composable Pipelines: Build complex behavior from modular components
  • Real-Time: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)

🌐 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

Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.

🪄 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.

🔍 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.

📺️ Pipecat TV Channel

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

🎬 See it in action


🧩 Available services

CategoryServices
Speech-to-TextAssemblyAI, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fal Wizper, Gladia, Google, Groq (Whisper), NVIDIA Riva, OpenAI (Whisper), SambaNova (Whisper), Soniox, Speechmatics, Ultravox, Whisper
LLMsAnthropic, AWS, Azure, Cerebras, DeepSeek, Fireworks AI, Gemini, Grok, Groq, Mistral, NVIDIA NIM, Ollama, OpenAI, OpenRouter, Perplexity, Qwen, SambaNovaTogether AI
Text-to-SpeechAsync, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fish, Google, Groq, Hume, Inworld, LMNT, MiniMax, Neuphonic, NVIDIA Riva, OpenAI, Piper, PlayHT, Rime, Sarvam, XTTS
Speech-to-SpeechAWS Nova Sonic, Gemini Multimodal Live, OpenAI Realtime
TransportDaily (WebRTC), FastAPI Websocket, SmallWebRTCTransport, WebSocket Server, Local
SerializersPlivo, Twilio, Telnyx
VideoHeyGen, Tavus, Simli
Memorymem0
Vision & Imagefal, Google Imagen, Moondream
Audio ProcessingSilero VAD, Krisp, Koala, ai-coustics
Analytics & MetricsOpenTelemetry, Sentry

📚 View full services documentation →

⚡ Getting started

You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.

  1. Install uv

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Need help? Refer to the uv install documentation.

  2. Install the module

    # For new projects
    uv init my-pipecat-app
    cd my-pipecat-app
    uv add pipecat-ai
    # Or for existing projects
    uv add pipecat-ai
  3. Set up your environment

    cp env.example .env
  4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:

    uv add "pipecat-ai[option,...]"

Using pip? You can still use pip install pipecat-ai and pip install "pipecat-ai[option,...]" to get set up.

🧪 Code examples

  • Foundational — small snippets that build on each other, introducing one or two concepts at a time
  • Example apps — complete applications that you can use as starting points for development

🛠️ Contributing to the framework

Prerequisites

Minimum Python Version: 3.10 Recommended Python Version: 3.12

Setup Steps

  1. Clone the repository and navigate to it:

    git clone https://github.com/pipecat-ai/pipecat.git
    cd pipecat
  2. Install development and testing dependencies:

    uv sync --group dev --all-extras \
    --no-extra gstreamer \
    --no-extra krisp \
    --no-extra local \
    --no-extra ultravox # (ultravox not fully supported on macOS)
  3. Install the git pre-commit hooks:

    uv run pre-commit install

Note: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.

Running tests

To run all tests, from the root directory:

uv run pytest

Run a specific test suite:

uv run pytest tests/test_name.py

🤝 Contributing

We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:

  • Found a bug? Open an issue
  • Have a feature idea? Start a discussion
  • Want to contribute code? Check our CONTRIBUTING.md guide
  • Documentation improvements?Docs PRs are always welcome

Before submitting a pull request, please check existing issues and PRs to avoid duplicates.

We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.

🛟 Getting help

➡️ Join our Discord

➡️ Read the docs

➡️ Reach us on X

About

Open Source framework for voice and multimodal conversational AI

Resources

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

pipecat

PyPITestscodecovDocsDiscordAsk DeepWiki

🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.

Want to dive right in? Try the quickstart.

🚀 What You Can Build

  • Voice Assistants – natural, streaming conversations with AI
  • AI Companions – coaches, meeting assistants, characters
  • Multimodal Interfaces – voice, video, images, and more
  • Interactive Storytelling – creative tools with generative media
  • Business Agents – customer intake, support bots, guided flows
  • Complex Dialog Systems – design logic with structured conversations

🧠 Why Pipecat?

  • Voice-first: Integrates speech recognition, text-to-speech, and conversation handling
  • Pluggable: Supports many AI services and tools
  • Composable Pipelines: Build complex behavior from modular components
  • Real-Time: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)

🌐 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

Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.

🪄 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.

🔍 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.

📺️ Pipecat TV Channel

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

🎬 See it in action


🧩 Available services

CategoryServices
Speech-to-TextAssemblyAI, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fal Wizper, Gladia, Google, Groq (Whisper), NVIDIA Riva, OpenAI (Whisper), SambaNova (Whisper), Soniox, Speechmatics, Ultravox, Whisper
LLMsAnthropic, AWS, Azure, Cerebras, DeepSeek, Fireworks AI, Gemini, Grok, Groq, Mistral, NVIDIA NIM, Ollama, OpenAI, OpenRouter, Perplexity, Qwen, SambaNovaTogether AI
Text-to-SpeechAsync, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fish, Google, Groq, Hume, Inworld, LMNT, MiniMax, Neuphonic, NVIDIA Riva, OpenAI, Piper, PlayHT, Rime, Sarvam, XTTS
Speech-to-SpeechAWS Nova Sonic, Gemini Multimodal Live, OpenAI Realtime
TransportDaily (WebRTC), FastAPI Websocket, SmallWebRTCTransport, WebSocket Server, Local
SerializersPlivo, Twilio, Telnyx
VideoHeyGen, Tavus, Simli
Memorymem0
Vision & Imagefal, Google Imagen, Moondream
Audio ProcessingSilero VAD, Krisp, Koala, ai-coustics
Analytics & MetricsOpenTelemetry, Sentry

📚 View full services documentation →

⚡ Getting started

You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.

  1. Install uv

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Need help? Refer to the uv install documentation.

  2. Install the module

    # For new projects
    uv init my-pipecat-app
    cd my-pipecat-app
    uv add pipecat-ai
    # Or for existing projects
    uv add pipecat-ai
  3. Set up your environment

    cp env.example .env
  4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:

    uv add "pipecat-ai[option,...]"

Using pip? You can still use pip install pipecat-ai and pip install "pipecat-ai[option,...]" to get set up.

🧪 Code examples

  • Foundational — small snippets that build on each other, introducing one or two concepts at a time
  • Example apps — complete applications that you can use as starting points for development

🛠️ Contributing to the framework

Prerequisites

Minimum Python Version: 3.10 Recommended Python Version: 3.12

Setup Steps

  1. Clone the repository and navigate to it:

    git clone https://github.com/pipecat-ai/pipecat.git
    cd pipecat
  2. Install development and testing dependencies:

    uv sync --group dev --all-extras \
    --no-extra gstreamer \
    --no-extra krisp \
    --no-extra local \
    --no-extra ultravox # (ultravox not fully supported on macOS)
  3. Install the git pre-commit hooks:

    uv run pre-commit install

Note: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.

Running tests

To run all tests, from the root directory:

uv run pytest

Run a specific test suite:

uv run pytest tests/test_name.py

🤝 Contributing

We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:

  • Found a bug? Open an issue
  • Have a feature idea? Start a discussion
  • Want to contribute code? Check our CONTRIBUTING.md guide
  • Documentation improvements?Docs PRs are always welcome

Before submitting a pull request, please check existing issues and PRs to avoid duplicates.

We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.

🛟 Getting help

➡️ Join our Discord

➡️ Read the docs

➡️ Reach us on X

About

Open Source framework for voice and multimodal conversational AI

Resources

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

pipecat

PyPITestscodecovDocsDiscordAsk DeepWiki

🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.

Want to dive right in? Try the quickstart.

🚀 What You Can Build

  • Voice Assistants – natural, streaming conversations with AI
  • AI Companions – coaches, meeting assistants, characters
  • Multimodal Interfaces – voice, video, images, and more
  • Interactive Storytelling – creative tools with generative media
  • Business Agents – customer intake, support bots, guided flows
  • Complex Dialog Systems – design logic with structured conversations

🧠 Why Pipecat?

  • Voice-first: Integrates speech recognition, text-to-speech, and conversation handling
  • Pluggable: Supports many AI services and tools
  • Composable Pipelines: Build complex behavior from modular components
  • Real-Time: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)

🌐 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

Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.

🪄 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.

🔍 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.

📺️ Pipecat TV Channel

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

🎬 See it in action


🧩 Available services

CategoryServices
Speech-to-TextAssemblyAI, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fal Wizper, Gladia, Google, Groq (Whisper), NVIDIA Riva, OpenAI (Whisper), SambaNova (Whisper), Soniox, Speechmatics, Ultravox, Whisper
LLMsAnthropic, AWS, Azure, Cerebras, DeepSeek, Fireworks AI, Gemini, Grok, Groq, Mistral, NVIDIA NIM, Ollama, OpenAI, OpenRouter, Perplexity, Qwen, SambaNovaTogether AI
Text-to-SpeechAsync, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fish, Google, Groq, Hume, Inworld, LMNT, MiniMax, Neuphonic, NVIDIA Riva, OpenAI, Piper, PlayHT, Rime, Sarvam, XTTS
Speech-to-SpeechAWS Nova Sonic, Gemini Multimodal Live, OpenAI Realtime
TransportDaily (WebRTC), FastAPI Websocket, SmallWebRTCTransport, WebSocket Server, Local
SerializersPlivo, Twilio, Telnyx
VideoHeyGen, Tavus, Simli
Memorymem0
Vision & Imagefal, Google Imagen, Moondream
Audio ProcessingSilero VAD, Krisp, Koala, ai-coustics
Analytics & MetricsOpenTelemetry, Sentry

📚 View full services documentation →

⚡ Getting started

You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.

  1. Install uv

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Need help? Refer to the uv install documentation.

  2. Install the module

    # For new projects
    uv init my-pipecat-app
    cd my-pipecat-app
    uv add pipecat-ai
    # Or for existing projects
    uv add pipecat-ai
  3. Set up your environment

    cp env.example .env
  4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:

    uv add "pipecat-ai[option,...]"

Using pip? You can still use pip install pipecat-ai and pip install "pipecat-ai[option,...]" to get set up.

🧪 Code examples

  • Foundational — small snippets that build on each other, introducing one or two concepts at a time
  • Example apps — complete applications that you can use as starting points for development

🛠️ Contributing to the framework

Prerequisites

Minimum Python Version: 3.10 Recommended Python Version: 3.12

Setup Steps

  1. Clone the repository and navigate to it:

    git clone https://github.com/pipecat-ai/pipecat.git
    cd pipecat
  2. Install development and testing dependencies:

    uv sync --group dev --all-extras \
    --no-extra gstreamer \
    --no-extra krisp \
    --no-extra local \
    --no-extra ultravox # (ultravox not fully supported on macOS)
  3. Install the git pre-commit hooks:

    uv run pre-commit install

Note: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.

Running tests

To run all tests, from the root directory:

uv run pytest

Run a specific test suite:

uv run pytest tests/test_name.py

🤝 Contributing

We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:

  • Found a bug? Open an issue
  • Have a feature idea? Start a discussion
  • Want to contribute code? Check our CONTRIBUTING.md guide
  • Documentation improvements?Docs PRs are always welcome

Before submitting a pull request, please check existing issues and PRs to avoid duplicates.

We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.

🛟 Getting help

➡️ Join our Discord

➡️ Read the docs

➡️ Reach us on X

About

Open Source framework for voice and multimodal conversational AI

Resources

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

pipecat

PyPITestscodecovDocsDiscordAsk DeepWiki

🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.

Want to dive right in? Try the quickstart.

🚀 What You Can Build

  • Voice Assistants – natural, streaming conversations with AI
  • AI Companions – coaches, meeting assistants, characters
  • Multimodal Interfaces – voice, video, images, and more
  • Interactive Storytelling – creative tools with generative media
  • Business Agents – customer intake, support bots, guided flows
  • Complex Dialog Systems – design logic with structured conversations

🧠 Why Pipecat?

  • Voice-first: Integrates speech recognition, text-to-speech, and conversation handling
  • Pluggable: Supports many AI services and tools
  • Composable Pipelines: Build complex behavior from modular components
  • Real-Time: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)

🌐 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

Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.

🪄 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.

🔍 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.

📺️ Pipecat TV Channel

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

🎬 See it in action


🧩 Available services

CategoryServices
Speech-to-TextAssemblyAI, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fal Wizper, Gladia, Google, Groq (Whisper), NVIDIA Riva, OpenAI (Whisper), SambaNova (Whisper), Soniox, Speechmatics, Ultravox, Whisper
LLMsAnthropic, AWS, Azure, Cerebras, DeepSeek, Fireworks AI, Gemini, Grok, Groq, Mistral, NVIDIA NIM, Ollama, OpenAI, OpenRouter, Perplexity, Qwen, SambaNovaTogether AI
Text-to-SpeechAsync, AWS, Azure, Cartesia, Deepgram, ElevenLabs, Fish, Google, Groq, Hume, Inworld, LMNT, MiniMax, Neuphonic, NVIDIA Riva, OpenAI, Piper, PlayHT, Rime, Sarvam, XTTS
Speech-to-SpeechAWS Nova Sonic, Gemini Multimodal Live, OpenAI Realtime
TransportDaily (WebRTC), FastAPI Websocket, SmallWebRTCTransport, WebSocket Server, Local
SerializersPlivo, Twilio, Telnyx
VideoHeyGen, Tavus, Simli
Memorymem0
Vision & Imagefal, Google Imagen, Moondream
Audio ProcessingSilero VAD, Krisp, Koala, ai-coustics
Analytics & MetricsOpenTelemetry, Sentry

📚 View full services documentation →

⚡ Getting started

You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.

  1. Install uv

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Need help? Refer to the uv install documentation.

  2. Install the module

    # For new projects
    uv init my-pipecat-app
    cd my-pipecat-app
    uv add pipecat-ai
    # Or for existing projects
    uv add pipecat-ai
  3. Set up your environment

    cp env.example .env
  4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:

    uv add "pipecat-ai[option,...]"

Using pip? You can still use pip install pipecat-ai and pip install "pipecat-ai[option,...]" to get set up.

🧪 Code examples

  • Foundational — small snippets that build on each other, introducing one or two concepts at a time
  • Example apps — complete applications that you can use as starting points for development

🛠️ Contributing to the framework

Prerequisites

Minimum Python Version: 3.10 Recommended Python Version: 3.12

Setup Steps

  1. Clone the repository and navigate to it:

    git clone https://github.com/pipecat-ai/pipecat.git
    cd pipecat
  2. Install development and testing dependencies:

    uv sync --group dev --all-extras \
    --no-extra gstreamer \
    --no-extra krisp \
    --no-extra local \
    --no-extra ultravox # (ultravox not fully supported on macOS)
  3. Install the git pre-commit hooks:

    uv run pre-commit install

Note: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.

Running tests

To run all tests, from the root directory:

uv run pytest

Run a specific test suite:

uv run pytest tests/test_name.py

🤝 Contributing

We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:

  • Found a bug? Open an issue
  • Have a feature idea? Start a discussion
  • Want to contribute code? Check our CONTRIBUTING.md guide
  • Documentation improvements?Docs PRs are always welcome

Before submitting a pull request, please check existing issues and PRs to avoid duplicates.

We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.

🛟 Getting help

➡️ Join our Discord

➡️ Read the docs

➡️ Reach us on X

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Open Source framework for voice and multimodal conversational AI

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