LiveKit Agents

https://docs.livekit.io/agents/

LiveKit Agents — agent framework built on LiveKit's open-source WebRTC media server. LiveKit raised $45M Series B Sep-2024 ($300M val). Powers OpenAI Realtime API's WebRTC transport (LiveKit is the substrate OpenAI chose). Agents framework formally launched 2024.

At a glance

Type
Voice-agent framework on LiveKit WebRTC platform
Tier
T1
Created
2024 (Agents repo open-sourced)
Latest release
v0.x ongoing; LiveKit Agents Cloud announced 2025
License
Apache 2.0
Pricing
OSS free; LiveKit Cloud tiered ($50/mo+ + usage)
Funding
$45M Series B Sep-2024 (Altimeter; $300M val)

Taxonomy

storage
kv
retrieval
injection
persistence
session
update
agent-controlled
unit
turn
governance
inspectable
conflict
stateless

When to use

Optimised for: Real-time voice + video agents over WebRTC at scale

Anti-fit: WebRTC-centric; if you want telephony-first, Vapi/Retell often easier

Pros & cons

Pros

Chosen by OpenAI for Realtime WebRTC backbone; OSS Apache 2.0; SOC 2 + HIPAA; scales to billions of minutes.

Cons

WebRTC-first (telephony via Twilio adapter); framework not turnkey SaaS for non-engineers.

Claims & capabilities

LiveKit raised $45M Series B (Sep-2024, Altimeter); selected by OpenAI as WebRTC backbone for Realtime

Technical surface

API surface
Python + Node SDKs; WebRTC transport; tools / function-calling
Backend storage
Caller-managed; LiveKit handles WebRTC session state
Deployment
Self-host + LiveKit Cloud
Embedding model
not applicable — not a memory product
Multi-tenancy
Multi-tenant Cloud; per-room namespacing
MCP
Composes with MCP tools
A2A
searched not found
OpenTelemetry
OpenTelemetry export in 2025 release

Similar systems

Other voice agent platforms in the catalog, ranked by inbound references.

  • Cartesia Sonic T1

    Cartesia's Sonic TTS — state-space-model-based voice generation, lowest published TTS latency (~40ms). Cartesia raised $64M Series A Q1 2025 (Index + Lightspeed); founded by Mamba authors. Agent platform layer ('Cartesia Line') wraps Sonic with telephony + LLM.

  • Vapi T1

    Voice-AI developer platform — STT + LLM + TTS pipelines wired to telephony (Twilio / SIP). Used to build outbound + inbound phone agents at scale. Raised $20M Series A from Bessemer + Y Combinator (Dec 2024) at $130M valuation; revenue reported >$10M ARR by Q1 2025.

  • Bland AI T1

    Voice-AI platform with custom STT + LLM + TTS stack ('the whole pipeline'). Raised $40M Series A Apr-2024 (Lightspeed + Anthology). Distinguished by 'pathway' graphs (deterministic call flows) and aggressive outbound-calling positioning.

  • CallRail Conversation Intelligence T2

    CallRail's AI-driven conversation intelligence layer atop their call-tracking product. Marketing-vertical voice analytics — auto-tagging, sentiment, lead scoring. CallRail is profitable / private (Sageview-backed); not a voice-agent runtime but the BI / analytics adjacent layer.

  • ElevenLabs Conversational AI T1

    ElevenLabs launched Conversational AI Nov-2024 — STT + LLM + their own market-leading TTS in one pipeline. Combines vendor's voice cloning + multilingual TTS strengths with hosted call orchestration. ElevenLabs raised $180M Series C Jan-2025 at $3.3B val.

  • Hume EVI T1

    Hume's Empathic Voice Interface (EVI) — voice agent platform with vocal-affect understanding. Hume raised $50M Series B Mar-2024 (EQT). Distinguished from pure LLM voice agents by emotion/prosody modelling; uses Hume's proprietary speech-prosody models.

Related systems

References (2)

Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.