Ross ROSS = Recommend OSS · open-source software intelligence for agents

livekit/livekit

End-to-end realtime stack for connecting humans and AI observed · 2026-08-28

github.com/livekit/livekit · homepage · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

99/100

  • Activity 99
  • Release rhythm 99
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 16
  • age_days: 2163
  • days_rel: 7
  • days_push: 7
  • n_releases_24m: 26

Full methodology

Adoption not part of the score

20530 stars · 2280 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

LiveKit is an open-source, scalable WebRTC SFU media server written in Go that provides realtime video, audio, and data transport for applications. It also serves as the foundation for the LiveKit Agents framework for building voice, video, and physical AI agents, with SDKs across many languages and platforms.

Use cases

  • build a multi-user video conferencing app
  • create a voice assistant that talks to users in realtime
  • stream live audio and video between browsers and servers
  • build an AI agent that answers phone calls
  • add realtime data channels to a multiplayer app
  • self-host a scalable WebRTC media server
  • connect a robot to realtime audio and video streams

When to choose

  • you need low-latency multi-party audio/video with a proven WebRTC stack
  • you are building voice or multimodal AI agents that interact with users in realtime
  • you want self-hosting or cloud deployment options with JWT auth, TURN, and multi-region scaling
  • you need SDKs across web, mobile, Unity, and embedded platforms

When to avoid

  • you only need simple request-response HTTP APIs with no realtime media
  • you need a fully managed turnkey video product with no infrastructure work and cannot run LiveKit Cloud
  • your use case is one-way streaming where simpler protocols like HLS suffice

Facets

service · maturity stable

websocket rpc auth agent-framework chatbot speech-recognition tts llm-inference webhook sdk artificial-intelligence web-development media robotics go self-hosted cross-platform cloud webrtc sfu media-server voice-ai video-conferencing realtime-communication simulcast end-to-end-encryption real-time ai-agents telephony docker kubernetes web-server

8 sources

Member repositories

RepositoryRoleHealth v2
livekit/livekitmain99

For agents

markdown · JSON · MCP: product_card(name="livekit/livekit")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem