Build robust AI voice and multimodal agents with LiveKit's framework, tailored for real-time interaction.

Screenshot of LiveKit Agents

About LiveKit Agents

LiveKit's AI Agents framework enables the creation of advanced voice and multimodal agents. It supports real-time speech-to-text (STT), large language models (LLMs), and text-to-speech (TTS) pipelines, facilitating natural-sounding conversations. Developers can use the MultimodalAgent for OpenAI's multimodal API or VoicePipelineAgent for customizable control over responses. Features include function calling, context enrichment with retrieval-augmented generation (RAG), and seamless integration with noise suppression via Krisp.ai. It also provides synchronized transcription, flexible worker architecture, and tools for creating scalable, interactive applications.

Agentic

Developer
LiveKit
Added
55 days ago

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AI Agent Categories

Speech Recognition

AI agents designed to convert spoken language into text, enabling voice-controlled applications, transcription services, and real-time language translation. These agents can be used in virtual assistants, customer support, accessibility tools, and more, improving interaction through natural voice commands.

AI Agents

Autonomous and intelligent AI systems designed to independently plan, coordinate, and execute complex tasks. These agents leverage advanced models and frameworks to analyze data, make decisions, and perform actions across diverse applications such as productivity, customer support, or operational management.

Task Automation

AI agents that streamline and automate repetitive tasks across various domains, including business processes, IT management, and personal workflows. These agents help reduce manual effort, improve efficiency, and enhance productivity by handling tasks such as scheduling, data entry, and notifications.

Workflow Automation

AI agents designed to automate repetitive tasks and processes, optimizing business operations

Virtual Assistant

AI agents designed to assist with a wide range of tasks, from scheduling appointments and managing emails to answering questions and providing recommendations. These assistants enhance productivity by automating daily activities, offering support through natural language processing, and seamlessly integrating with digital environments.

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