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Pipecat example applications. Use and learn from these patterns to build your own voice AI applications.
Bridge a variety of cameras to Daily calls with Pipecat.
Components, hooks and template apps for building React voice AI applications quickly. Designed to support and accelerate Pipecat AI development.
Prompts for our Grok chat assistant and the `@grok` bot on X.
An open-source AI agent that brings the power of Gemini directly into your terminal.
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
A TTS model capable of generating ultra-realistic dialogue in one pass.
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS / MPEG-TS / RTP media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.
A Conversational Speech Generation Model
Real Time (WebRTC & WebTransport) Proxy for LLM WebSocket APIs
This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
Instructions on how to use the Realtime API on Microcontrollers and Embedded Platforms
Voice Agent Framework for Conversational AI
CLI scripts for processing Daily raw-tracks recordings.
An example of the cloud infrastructure to store Daily's recordings to an s3 bucket
Work In Progress: ComfyUI for Pipecat pipelines