
LiveKit
Open source WebRTC infrastructure
The Lens
WebRTC is notoriously painful to implement correctly. LiveKit handles the hard parts: media routing, quality adaptation, scaling, and cross-platform SDKs.
It's also become the go-to for AI voice agents. If you're building an app where an AI talks to users in real-time (think voice assistants, AI tutors, customer support bots), LiveKit's Agents framework handles the audio pipeline.
Apache 2.0. SDKs for React, Swift, Kotlin, Flutter, Python, and more.
The catch: WebRTC infrastructure is expensive to run at scale. Self-hosting LiveKit is free but you need serious server resources for media processing. This isn't a $5/mo VPS situation. And while LiveKit makes WebRTC easier, 'easier' is relative. Real-time media is inherently complex. Budget significant development time.
Free vs Self-Hosted vs Paid
free self hosted paid cloudFree (Apache 2.0): Full server, all SDKs, Agents framework, recording, egress/ingress. No feature restrictions. Self-host on your own infrastructure.
LiveKit Cloud:
- Pay-as-you-go: bandwidth and participant-minute based pricing
- Specific rates vary; check livekit.io/cloud for current pricing
- Includes managed infrastructure, global edge network, and SLA
Self-hosting cost: a media server needs CPU and bandwidth. A single server handles maybe 50-100 concurrent participants depending on quality settings. At $50-200/mo per server, costs add up fast with scale. LiveKit Cloud's per-minute pricing may be cheaper than self-hosting until you reach hundreds of concurrent users.
For AI Agents specifically: the compute cost of real-time speech-to-text and text-to-speech adds to whatever the media infrastructure costs.
Self-host free but budget for real server costs. Cloud pricing scales with usage, often cheaper at small scale.
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