KITT By LiveKit

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KITT by LiveKit: Real‑time multimodal AI for live voice, video, and text

Last updated Sep 25, 2025

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What is KITT By LiveKit?

KITT by LiveKit is an open‑source, real‑time, multimodal AI agent that enables live voice, video, and text conversations. Powered by LiveKit’s WebRTC media server and Agents framework, KITT combines speech‑to‑text, LLM reasoning, and natural text‑to‑speech to answer questions, take notes, summarize discussions, and translate across multiple languages. With conversation history, plugin integrations, animated avatars, and production‑grade infrastructure that scales from startups to enterprises, KITT is a developer‑friendly platform for building responsive, low‑latency AI experiences in apps, websites, and devices.

KITT By LiveKit's Top Features

Key capabilities that make KITT By LiveKit stand out.

Live, real‑time voice and video conversations with AI

Multimodal input/output across voice, video, and text

Streaming STT → LLM → TTS pipeline for natural interactions

Low‑latency, network‑resilient WebRTC transport

Multi‑language understanding and live translation

Session‑level conversation history and contextual memory

Plugin architecture with integrations for major STT, TTS, and LLM providers

Voice activity detection and sentence splitting utilities

Animated/composable avatars for expressive visual agents

Production‑grade orchestration, load balancing, and horizontal scaling

Kubernetes compatibility for enterprise deployments

Telephony integration for PSTN/SIP connectivity

Open source under Apache 2.0 and developer‑friendly SDKs

Works with LiveKit Cloud or self‑hosted deployments

Agents can auto‑join sessions via webhook and publish A/V tracks

Turn detection and stateful AI orchestration in Agents SDK

Use Cases

Who benefits most from this tool.

Product teams

Embed a voice/video AI assistant in apps to answer questions, guide onboarding, and reduce support load.

Customer support

Deploy a multilingual call or chat copilot that transcribes, translates, and responds in real time.

Telehealth providers

Run HIPAA‑aligned virtual visits with live transcription, summaries, and language translation.

Sales and marketing

Use an AI co‑host for interactive demos and live streams that responds to audience questions.

Engineering teams

Prototype and ship multimodal agents quickly using open‑source SDKs and a pluggable STT/LLM/TTS stack.

Education and training

Offer an AI tutor that can converse, translate, and summarize lessons in real time.

Operations and IT

Spin up conferencing assistants that capture meeting notes, action items, and follow‑ups.

Robotics and IoT

Add natural voice interfaces to robots and devices with low‑latency, on‑device friendly streaming.

Contact centers

Augment agents with real‑time transcription, guidance, and post‑call summaries across languages.

Global teams

Enable cross‑language collaboration with live translation and context‑aware responses.

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Tags

open-sourcereal-timemultimodal AIlive voicevideotext conversationsWebRTCmedia serverspeech-to-textLLM reasoningtext-to-speechanswer questionstake notessummarize discussionstranslate languagesconversation historyplugin integrationsanimated avatarsproduction-grade infrastructuredeveloper-friendlylow-latency AIappswebsitesdevices

KITT By LiveKit's Pricing

Free plan available

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Frequently Asked Questions

What is KITT and what does it do?
KITT is an AI agent built with LiveKit and WebRTC for live, voice‑based conversations. It can answer questions, take notes, summarize discussions, and act as a translator by speaking multiple languages.
Who is LiveKit and what is their main product offering?
LiveKit provides an open source framework and cloud infrastructure for building real‑time voice, video, and AI applications—including agents like KITT—used by teams from startups to enterprises.
What technology powers KITT’s capabilities?
KITT uses LiveKit’s real‑time media server, SDKs, and Agents framework. It relies on WebRTC for audio/video transport, speech‑to‑text for transcription, LLMs for responses, and text‑to‑speech and translation for natural output.
How can KITT be integrated into other applications or platforms?
KITT (via the LiveKit Agents framework) can join LiveKit media sessions like any user, publishing audio/video tracks. Developers embed KITT or similar agents using LiveKit SDKs across web, mobile, and server environments.
What are common use cases for LiveKit and KITT?
Typical use cases include AI voice/video assistants, secure team video conferencing, interactive live streaming, robotics voice interfaces, HIPAA‑aligned telehealth workflows, and flexible customer service solutions.
Does KITT support multiple languages for conversation and translation?
Yes. KITT can understand and speak multiple languages and act as a live translator, replying in each participant’s preferred language.
Is LiveKit and KITT open source? Can I access the code?
Yes. LiveKit and its Agents framework—including example projects like KITT—are open source under the Apache 2.0 license and can be customized.
How does KITT join and interact with a session?
When a media session starts and a user joins, KITT can be added via webhook, subscribe to user audio tracks, convert speech to text, and coordinate responses using an LLM and conversation history.
What infrastructure or deployment options are available for LiveKit?
You can use LiveKit Cloud (fully managed) or self‑host on your own infrastructure. Both options offer the same core capabilities and SDK compatibility.
How is real‑time communication quality ensured for AI agents like KITT?
LiveKit uses WebRTC for low‑latency A/V and the Agents SDK provides robust streaming, turn detection, stateful orchestration, and production‑grade scalability with Kubernetes support.