LiveKit Agents
Overview
An open-source framework for building real-time, multimodal AI applications that can see, hear, and speak.
LiveKit Agents is an open-source framework designed to facilitate the development of AI-driven server programs capable of real-time interaction through voice, video, and data channels. It enables the creation of programmable, multimodal AI agents that can process and generate audio, video, and text, integrating seamlessly with large language models (LLMs) and other AI models. The framework supports flexible integrations, including plugins for popular LLMs, speech-to-text (STT), text-to-speech (TTS), and voice activity detection (VAD) services. LiveKit Agents also offers built-in task scheduling, load balancing, and real-time media transport over WebRTC, making it suitable for applications such as AI voice assistants, call centers, transcription services, and real-time translation.
Some of the use cases of LiveKit Agents:
- Developing AI voice assistants capable of natural conversations.
- Implementing real-time transcription and translation services.
- Creating AI-driven avatars with multimodal interaction capabilities.
- Building call center solutions with AI agents handling inbound and outbound calls.
- Integrating AI functionalities into existing applications with real-time media processing.
LiveKit Agents Video:
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