A comprehensive guide to building real-time voice agents using open-source models and frameworks.
This repository contains a series of blog posts and resources that walk you through creating your own voice agent from scratch. Learn how to build conversational AI that listens, thinks, and responds naturally in real-time.
- Speech-to-Text (STT): Voice Activity Detection and transcription models
- Large Language Models (LLM): Choosing and integrating the right brain for your agent
- Text-to-Speech (TTS): Natural voice synthesis and streaming
- Speech-to-Speech Models: End-to-end conversation pipelines
- Frameworks: Orchestrating everything with Pipecat and other tools
- Deployment: Production-ready voice agent strategies
A deep dive into the building blocks of voice agents:
- Voice Activity Detection (VAD) comparison
- Speech-to-Text model selection and optimization
- LLM choices for conversational AI
- Text-to-Speech model evaluation
- Framework comparison and recommendations
Building your first voice agent with Pipecat:
- Understanding Pipecat's streaming architecture
- Setting up the development environment
- Integrating STT, LLM, and TTS components
- Creating a basic conversational flow
Making your agent intelligent and context-aware:
- Implementing conversation memory
- Adding Retrieval-Augmented Generation (RAG)
- Building knowledge bases for your agent
- Context management and conversation history
- Advanced prompt engineering for voice agents
Taking your voice agent to production:
- Deployment strategies and hosting options
- Performance optimization and scaling
- Monitoring and logging
- Error handling and reliability
- Real-world deployment considerations
- Read through the blog series to understand the concepts
- Check out the detailed model comparisons and benchmarks
- Follow the implementation guides for hands-on experience
- Explore the recommended frameworks and tools
This guide is a living resource. Feel free to:
- Submit pull requests for improvements
- Add missing content or corrections
- Share your own voice agent implementations
- Report issues or suggest new topics
This project is licensed under the MIT License - see the LICENSE file for details.