LiveKit is an open source platform for building voice, video, and physical AI agents. This repository is the LiveKit server: a scalable, distributed WebRTC SFU that moves realtime audio, video, and data between people, devices, and AI models. The SDKs, agents frameworks, and companion services are linked in the table at the bottom of this page.
LiveKit's server is written in Go, using the awesome Pion WebRTC implementation.
Important
If you're building Voice AI, LiveKit Agents is the SDK for code-first realtime voice agents. STT, LLM, TTS, turn detection, expressive speech, keyterm accuracy, tool usage, and telephony all come bundled in the framework. It's available in both Python and Node.js.
# agent.py
from livekit import agents
from livekit.agents import Agent, AgentServer, AgentSession, STTContextOptions, TurnHandlingOptions, inference
server = AgentServer()
@server.rtc_session(agent_name="my-agent")
async def my_agent(ctx: agents.JobContext):
session = AgentSession(
stt=inference.STT(model="deepgram/nova-3", language="multi"),
llm=inference.LLM(model="google/gemma-4-31b-it"),
tts=inference.TTS(model="inworld/inworld-tts-2", voice="Ashley"),
turn_handling=TurnHandlingOptions(turn_detection=inference.TurnDetector()),
stt_context_options=STTContextOptions(keyterms=["LiveKit", "Acme Corp"]),
expressive=True,
)
await session.start(room=ctx.room, agent=Agent(instructions="You are a helpful voice AI assistant."))
await session.generate_reply(instructions="Greet the user and offer your assistance.")
if __name__ == "__main__":
agents.cli.run_app(server)Models come from LiveKit Inference with no per-provider API keys, and LiveKit Cloud handles deployment and observability. Visit the docs for more info at docs.livekit.io/agents.
LiveKit carries billions of calls a year for companies including Salesforce, Nvidia, Oracle, SAP, Deutsche Telekom, Spotify, Tinder, Coursera, Headspace, Skydio, Retell, Decagon, Cresta, and HeyGen. Read how Assort Health, Playback, and Polymath Robotics use it, or see more customers.
- Scalable, distributed WebRTC SFU (Selective Forwarding Unit)
- People, devices, and AI agents join the same room as participants, with agent dispatch to route agents in automatically or on demand
- Modern, full-featured SDKs for web, mobile, desktop, embedded, and server
- Built for production, supports JWT authentication
- Robust networking and connectivity, UDP/TCP/TURN
- Easy to deploy: single binary, Docker or Kubernetes
- Advanced features including:
- speaker detection
- simulcast
- selective subscription
- moderation APIs
- end-to-end encryption
- SVC codecs (VP9, AV1)
- data tracks for low-latency telemetry and teleoperation
- telephony over SIP
- webhooks
- distributed and multi-region
Working with a coding agent? Give it the LiveKit Docs MCP server, or start with the coding agents guide.
- Talk to a voice agent built with LiveKit Agents
- LiveKit Meet (source)
- Spatial Audio (source)
- Livestreaming from OBS Studio (source)
Tip
We recommend installing LiveKit CLI along with the server. It lets you access server APIs, create tokens, generate test traffic, and scaffold and deploy agents.
The following will install LiveKit's media server:
brew install livekitcurl -sSL https://get.livekit.io | bashDownload the latest release here
Start LiveKit in development mode by running livekit-server --dev. It'll use a placeholder API key/secret pair.
API Key: devkey
API Secret: secret
To customize your setup for production, refer to our deployment docs
A user connecting to a LiveKit room requires an access token. Access tokens (JWT) encode the user's identity and the room permissions they've been granted. You can generate a token with our CLI:
lk token create \
--api-key devkey --api-secret secret \
--join --room my-first-room --identity user1 \
--valid-for 24hHead over to our example app and enter a generated token to connect to your LiveKit server.
Once connected, your video and audio are now being published to your new LiveKit instance!
lk room join \
--url ws://localhost:7880 \
--api-key devkey --api-secret secret \
--identity bot-user1 \
--publish-demo \
my-first-roomThis command publishes a looped demo video to a room. Due to how the video clip was encoded (keyframes every 3s), there's a slight delay before the browser has sufficient data to begin rendering frames. This is an artifact of the simulation.
Agents join rooms as participants, the same way a browser or a phone does. Follow the Voice AI quickstart to build one. An agent connects to a self-hosted server the same way it connects to LiveKit Cloud; when running without Cloud, use model plugins in place of LiveKit Inference.
LiveKit Cloud is the fastest and most reliable way to run LiveKit. It runs in 19+ regions with 99.99% uptime and adds agent hosting, model inference, telephony, and observability on top of the server. The Build plan is free, with no credit card required.
Sign up for LiveKit Cloud.
Read our deployment docs for more information. Official Docker images and Helm charts are available.
Pre-requisites:
- Go 1.26+ is installed
- GOPATH/bin is in your PATH
Then run
git clone https://github.com/livekit/livekit
cd livekit
./bootstrap.sh
mageWe welcome your contributions toward improving LiveKit! Please join us on Slack or in the Developer Community to discuss your ideas and/or PRs.
LiveKit server is licensed under Apache License v2.0.
| LiveKit Ecosystem | |
|---|---|
| Agents SDKs | Python · Node.js |
| LiveKit SDKs | Browser · Swift · Android · Flutter · React Native · Rust · Node.js · Python · Unity · Unity (WebGL) · ESP32 · C++ |
| Starter Apps | Python Agent · TypeScript Agent · React App · SwiftUI App · Android App · Flutter App · React Native App · Web Embed |
| UI Components | React · Android Compose · SwiftUI · Flutter |
| Server APIs | Node.js · Golang · Ruby · Java/Kotlin · Python · Rust · PHP (community) · .NET (community) |
| Resources | Docs · Docs MCP Server · CLI · LiveKit Cloud |
| LiveKit Server OSS | LiveKit server · Egress · Ingress · SIP |
| Community | Developer Community · Slack · X · YouTube |