LiveKit
Open-source platform to build, deploy, and observe real-time voice, video, and physical AI agents.
LiveKit is the right pick for engineering teams that want full control over voice, video, or robotics agents without vendor lock-in. The free tier is generous, the new Unity 2.0 and per-second metering are solid additions, and it scales to millions of concurrent calls. But if you need a no-code builder, Vapi or Bland AI are easier—just less flexible.
Verified 3d ago · liveness 83/100 · cite: rightaichoice.com/tools/livekit
- Developers building production-grade voice AI assistants
- Teams creating real-time video agents
- Robotics companies needing low-latency streaming
- Enterprises deploying custom conversational AI over phone/SIP
- Non-technical users seeking no-code solutions
- Simple static video streaming without AI logic
- Prototypes needing zero coding
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Skip LiveKit if you need a no-code builder, want a fully managed black-box solution, or aren't ready to write code for your voice/video agents.
Inference usage beyond the included credits is billed per minute – for a phone call you'll pay roughly $0.0672/min across LLM, STT, TTS, and observability, which adds up fast at high volume.
LiveKit's free Build tier lets you start without a credit card, while Ship at $50/mo adds team features for early production. Scale at $500/mo suits growth-stage companies needing RBAC and compliance. Compared to Vapi or Bland AI, LiveKit often ends up cheaper at scale due to volume pricing, but you pay with engineering time. Enterprise plans offer custom volume discounts.
In short
LiveKit — Open-source platform to build, deploy, and observe real-time voice, video, and physical AI agents. Best for Developers building production-grade voice AI assistants, Teams creating real-time video agents, Robotics companies needing low-latency streaming. Free to start; paid plans from $50/mo.
What's new in LiveKit
Checked 3 days agoAcross the latest 5 updates: 3 feature updates, 1 launch and 1 changelog entry.
Introducing per-second metering for LiveKit
LiveKit now meters usage per second, enabling more granular billing.
Introducing PII Redaction for LiveKit Observability
Observability logs now support PII redaction to protect sensitive data.
Zero Data Retention (ZDR) support
LiveKit now offers Zero Data Retention (ZDR) for data not being stored.
Expressive mode for voice agents
New expressive mode makes agents sound more natural and human-like.
LiveKit Unity SDK 2.0.0: out of Developer Preview
Unity SDK reaches 2.0.0, exiting Developer Preview with new features.
What people actually say about LiveKit — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
79 mentions across 6 sources (Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, Lemmy) · researched Aug 30, 2026.
- +Open-source with no vendor lock-in; take your code anywhere.
- +Multi-language SDKs: Python, Node.js, C++, Unity for any stack.
- +Global edge network keeps latency under 1000ms for real-time interactions.
- +Inference gateway integrates 100+ TTS, LLM, and STT models.
- +Production-ready features like Turn Detector v1.0 enhance voice interactions.
- −Steep learning curve for non-engineers or those new to WebRTC.
- −Per-minute costs not always clear upfront; can surprise users.
- −Offline deployment requires a powerful computer.
- −Limited no-code flexibility compared to Vapi or Bland AI.
- −Customer support may be slower for open-source community users.
- • Per-minute session costs can add up with premium models (TTS/LLM/STT) used through the inference gateway.
- • Standard support may be limited; paid plans are needed for faster response times.
- • Self-hosting requires infrastructure costs (bandwidth, compute) not covered by the platform.
Viability Score
How well maintained and how widely used is LiveKit? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Voice AI agents with real-time conversation
- Video AI agents for frame analysis
- Physical AI / robotics support
- Multi-language SDKs (Python, Node.js, C++, Unity)
- Unity SDK 2.0.0 for real-time 3D apps
- Inference gateway with 100+ models
- Automatic turn detection
- Interruption handling
- Per-second metering
- Expressive mode for natural voices
- PII redaction in logs
- Zero Data Retention (ZDR)
- Telephony integration (phone numbers, SIP)
- Full-stack observability
- Global edge network (15+ regions)
About LiveKit
LiveKit is an open-source developer platform for building, deploying, scaling, and observing real-time AI agents across voice, video, and physical robotics. It powers billions of calls annually, including OpenAI's ChatGPT Advanced Voice, and is trusted by teams like Retell AI, Podium, and Spara. With multi-language SDKs for Python, Node.js, C++, and Unity, you can build a voice agent in under 10 minutes and keep full control over agent code, model choices, and infrastructure. The platform pairs a flexible agent framework with an inference gateway giving you access to 100+ TTS, LLM, and STT models, then wraps it in a global edge network that keeps latency under 1000ms. Recent production releases include Unity SDK 2.0.0 (exiting Developer Preview), expressive mode for more natural-sounding agents, per-second metering for more granular billing, and PII redaction for observability logs. It also handles telephony via phone numbers and SIP, and now supports Zero Data Retention (ZDR) for privacy-sensitive deployments. LiveKit Cloud meets GDPR, SOC 2 Type 2, and HIPAA compliance, and runs on a global edge network across 15+ regions. The free Build tier lets you start without a credit card; Ship ($50/mo) and Scale ($500/mo) add team collaboration, instant rollbacks, role-based access, region pinning, and inference discounts. Enterprise plans offer SSO, shared Slack, and volume pricing. Compared to no-code platforms like Vapi or Bland AI, LiveKit demands more engineering effort but delivers far greater flexibility and control. It's the right fit for teams that want to customize every layer of their agents or integrate deeply with their own stack, and it's built for production scale that smaller tools can't match.
Behind the Verdict
LiveKit stands out for developers who need deep customization and production-grade reliability. Unlike no-code platforms, you own the agent code, choose any model provider, and can fine-tune every interaction. The global edge network keeps latency sub-1000ms, and the platform handles millions of concurrent calls—evidenced by OpenAI's use for ChatGPT Advanced Voice. Strengths: full-stack observability, per-second metering, expressive mode, and the new Unity SDK 2.0 expand the possible applications. Zero Data Retention and PII redaction address privacy concerns. The open-source framework means you're never locked in. Weaknesses: it's developer-centric; there's no visual builder. Pricing can be unpredictable: inference costs add up, with an estimated $0.0672/min per phone call. Advanced features like HIPAA, SSO, and security reports are gated to higher tiers. Teams wanting a black-box solution will find it too technical. Where it fits: startups and enterprises building custom voice/video agents, robotics companies needing low-latency streaming, and teams that want to avoid vendor lock-in. Where it doesn't: non-technical users, quick prototypes, or anyone not ready to write code.
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Real-world workflow fit
Concrete scenarios for the personas LiveKit actually fits — and what changes day-one when you adopt it.
Build a simple voice agent in under 10 minutes using Python quickstart.
Outcome: Deploy to LiveKit Cloud for free, test with a phone number, and iterate with full observability.
Launch a customer support voice bot with custom voices and team collaboration.
Outcome: Ship plan enables instant rollback and team access, letting you iterate quickly in production.
Deploy a HIPAA-compliant voice agent with RBAC and SSO.
Outcome: Scale/Enterprise tiers provide security reports, region pinning, and volume pricing to meet compliance needs.
Use Cases
- Build a voice agent that answers phone calls and automates customer service with live interruption handling.
- Create a real-time video analysis agent that processes frames from a camera and provides spoken feedback.
- Deploy a telephony-based appointment booking bot with IVR replacement using the handoff pattern.
- Integrate a multimodal AI assistant into a website that sees the user's screen and responds with voice.
- Develop a physical robot that uses LiveKit to stream video and accept voice commands via WebRTC.
- Run a concurrent pipeline agent that collects structured data from customers during a phone conversation.
- Teleoperate robots and collect data using LiveKit Portal for physical AI training.
Models Under the Hood
as of 2026-08-31
Limitations
- LiveKit is a developer platform; building agents requires coding skills.
- Pricing is usage-based with per-minute costs for agent sessions, telephony, LLM, STT, TTS, and observability, totaling about $0.0672/min for a phone call on Build/Ship plans.
- Advanced features like HIPAA, SSO, and security reports are only available in Scale and Enterprise tiers.
as of 2026-08-30
Verification history
We have re-verified LiveKit 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 18 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published LiveKit tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Build
$0/mo
Ideal for
Individual developers or small teams experimenting with voice/video agents, needing a free (no credit card) starting point.
What this tier adds
Starting tier: includes agent deployment, observability, inference credits, global edge network, and 1 free phone number.
Ship
$50/mo
Ideal for
Startups shipping to real users, needing team collaboration and custom voices for a production feel.
What this tier adds
Adds team collaboration, custom voices, instant rollback, and email support to the Build tier.
Scale
$500/mo
Ideal for
Growing teams needing role-based access, region pinning, and HIPAA compliance for sensitive deployments.
What this tier adds
Adds RBAC, metrics export APIs, region pinning, security reports/HIPAA, and inference discounts.
Enterprise
Custom
Ideal for
Large organizations needing white-glove support, SSO, and custom volume pricing for high-scale deployments.
What this tier adds
Adds volume pricing including inference, shared Slack channel, SSO, and support SLA.
Where the pricing makes sense
The company stage and team size where LiveKit's pricing actually pencils out — and where peers do it cheaper.
LiveKit's free Build tier lets you start without a credit card, while Ship at $50/mo adds team features for early production. Scale at $500/mo suits growth-stage companies needing RBAC and compliance. Compared to Vapi or Bland AI, LiveKit often ends up cheaper at scale due to volume pricing, but you pay with engineering time. Enterprise plans offer custom volume discounts.
Setup time & first value
How long it actually takes to get something useful out of LiveKit — broken out by persona, not the marketing-page minute.
Solo developer: voice agent in under 10 minutes. Team: deployment to production within a day. Enterprise: additional time for compliance and integration, but the platform is designed for rapid iteration.
Switching to or from LiveKit
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Twilio Voice: migrate your telephony flows to LiveKit's SIP integration and handle calls with a custom agent.
- ↗To Vapi or Bland AI: if you need a no-code interface, but you lose custom control and may pay more per minute.
Integrations
Resources & Guides
- Resourcelivekit.io
The Handoff Pattern for Voice Agents That Replaces IVR Menus
Build voice agents that replace IVR menus with an LLM triage agent that routes calls to specialist AI agents or humans with full context and seamless transfers.
- Resourcelivekit.io
The ReAct Pattern for Voice Agents and How AI Agents Think, Act, and Respond
Learn the ReAct pattern for voice agents. See how Think, Act, Observe loops power tool calling so your agent can use APIs, databases, and workflows to solve real requests.
Tutorials & Learning
Official links
Tools that pair well with LiveKit
Common stack mates teams adopt alongside LiveKit, with the specific reason each pairing earns its keep.
Alternatives to LiveKit
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