Project Title

agents — A powerful framework for building realtime voice AI agents

Overview

The agents project is a robust framework designed for creating real-time, programmable voice AI agents that can see, hear, and understand. It stands out for its flexibility in integrating various speech-to-text, language models, text-to-speech, and real-time APIs, catering to diverse use cases. The framework is fully open-source, allowing developers to run the entire stack on their own servers.

Key Features

Flexible integrations with various STT, LLM, TTS, and Realtime APIs
Integrated job scheduling and distribution with dispatch APIs
Extensive support for WebRTC clients across all major platforms
Telephony integration for calls to and from phones
Data exchange with clients using RPCs and Data APIs
Semantic turn detection to reduce interruptions
Native support for MCP, integrating tools with one loc
Built-in test framework for performance validation

Use Cases

Building conversational voice agents for customer service
Creating multi-modal virtual assistants for various industries
Developing programmable participants for real-time interactions
Implementing telephony-based AI solutions for call centers

Advantages

Open-source, allowing customization and self-hosting
Supports a wide range of model providers and plugins
Reduces development time with built-in features like job scheduling and telephony integration
Enhances user experience with semantic turn detection and data exchange capabilities

Limitations / Considerations

May require significant setup and configuration for complex use cases
Performance may be affected by the choice of STT, LLM, TTS, and Realtime APIs
Dependency on external plugins and APIs for full functionality

Jasper: An open-source alternative for building voice AI, focusing on conversational AI development. It differs in its focus on conversational interfaces rather than multi-modal interactions.
Rasa: A framework for building AI assistants, known for its dialogue management capabilities. It differs in its approach to conversational AI, focusing more on text-based interactions.
Dialogflow: A Google product for building conversational interfaces. It differs in that it is a cloud-based solution with a more limited open-source component compared to agents.

Basic Information

GitHub: https://github.com/livekit/agents
Stars: 7,783
License: Unknown
Last Commit: 2025-10-08

📊 Project Information

Project Name: agents
GitHub URL: https://github.com/livekit/agents
Programming Language: Python
⭐ Stars: 7,783
🍴 Forks: 1,349
📅 Created: 2023-10-19
🔄 Last Updated: 2025-10-08

🏷️ Project Topics

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