Found 18 repositories(showing 18)
pipecat-ai
Open source conversation framework for structured Pipecat dialogues
pipecat-ai
A web editor UI for managing pipecat flows
jb-akp
No description available
cmagganas
AI Language Learning WebApp using Pipecat Flows and Daily WebRTC
ayushsurana2207
CovenantAI is a Python framework for behavioral regression testing of AI agents. Deterministically evaluate tool usage, conversation flows, and semantic outputs using intuitive YAML test suites. Guarantee production reliability with seamless CI integrations and native support for LangChain, OpenAI Swarm, and Pipecat interactive voice agents.
clintg
Build a better GUI for Pipecat flows
Mayank2969
Fork of pipecat-flows with AgentCast podcast pipeline integration
pchero
No description available
monster-anshu
No description available
RishiSinghHSC
Pizza agent using pipecat flows lib
adriablancafort
A voice AI receptionist for a restaurant built with Pipecat and Pipecat Flows
No description available
Shunyalabsai
Python SDK for Shunyalabs Real-Time, Batch, Flow, and TTS APIs - Pipecat
alexanderwise
Me learning how to program with LLMs. A Discord bot that uses griptape and pipecat flows for chatting.
Demo of a meeting-room canvas that welcomes a virtual sales agent voice bot into a Daily.co call using the simple Pipecat flow.
manas-narra
A visual node-based editor for building conversational AI flows that export to Python code for the Pipecat framework. Design conversation workflows with drag-and-drop nodes, define LLM functions and decision logic, then generate production-ready Python code.
Two Pipecat-based agents join a Daily.co WebRTC room, role-play a short scenario, and autonomously exit. Built with a reliability-first architecture emphasizing correctness, deterministic flows, structured logging, and measurable metrics (latency, success rate, graceful termination) to demonstrate full pipeline understanding.
manojkum4r
This is a cutting-edge, multilingual Conversational AI Agent developed by Manoj Kumar. It runs structured Flows over Twilio telephony/WebRTC, using an advanced Pipecat pipeline (LLM, Cartesia STT/TTS) for real-time, low-latency dialogue. It securely saves all call audio and session data locally and to a configurable AWS S3 bucket.
All 18 repositories loaded