Open Source framework for voice and multimodal conversational AI
npx skills add https://github.com/pipecat-ai/pipecat --skill docstringInstala esta habilidad con la CLI y comienza a usar el flujo de trabajo SKILL.md en tu espacio de trabajo.
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? Run
pipecat init quickstartor follow the quickstart guide.
Need multiple AI agents working together? Pipecat Subagents lets you build distributed multi-agent systems where each agent runs its own pipeline and communicates through a shared message bus. Hand off conversations between specialists, dispatch background tasks, and scale agents across processes or machines.
Building client applications? You can connect to Pipecat from any platform using our official SDKs:
JavaScript | React | React Native |
Swift | Kotlin | C++ | ESP32
Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.
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 a new project in under a minute with the Pipecat CLI. Then use the CLI to monitor and deploy your agent to production.
Looking for help debugging your pipeline and processors? Check out Whisker, a real-time Pipecat debugger.
Love terminal applications? Check out Tail, a terminal dashboard for Pipecat.
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.
Build and share your own Pipecat service integrations! Browse existing community integrations or check out our guide to create your own.
Catch new features, interviews, and how-tos on our Pipecat TV channel.
📚 View full services documentation →
You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.
Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
Need help? Refer to the uv install documentation.
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
Set up your environment
cp env.example .env
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-aiandpip install "pipecat-ai[option,...]"to get set up.
Minimum Python Version: 3.11
Recommended Python Version: >= 3.12
Clone the repository and navigate to it:
git clone https://github.com/pipecat-ai/pipecat.git
cd pipecat
Install development and testing dependencies:
uv sync --group dev --all-extras \
--no-extra gstreamer \
--no-extra local \
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.
Install development workflow skills for contributing to Pipecat with Claude Code:
claude plugin marketplace add pipecat-ai/pipecat
claude plugin install pipecat-dev@pipecat-dev-skills
To run all tests, from the root directory:
uv run pytest
Run a specific test suite:
uv run pytest tests/test_name.py
We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:
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.