Most LiveKit alternatives solve one problem and introduce two more. I tested seven of them, Pipecat, Vapi, Retell, Daily, Telnyx, SignalWire, and Agora, to find out where each one breaks and what it costs when it does. ## **7 Best LiveKit Alternatives:** At a Glance | 🏆 Platform | 🎯 Best For | 💰 Price | |------------|------------|---------| | [Pipecat](https://www.pipecat.ai/) | Full pipeline control, Python-first | [$0.01/min](https://www.daily.co/pricing/pipecat-cloud/) agent hosting and provider costs for agent-1x | | [Vapi](https://vapi.ai/) | Managed voice AI, bring your own LLM/STT/TTS | [$0.05/min](https://vapi.ai/pricing) platform and provider costs | | [Retell AI](https://www.retellai.com/) | Low-code voice agents, fast deploy | [$0.07+/min](https://www.retellai.com/pricing) plus LLM and telephony costs | | [Daily.co](https://www.daily.co/) | WebRTC transport, Pipecat native | [$0.004/participant min](https://www.daily.co/pricing/video-sdk/) video and audio | | [Telnyx](https://telnyx.com/) | Native telephony and STT/TTS savings | [$0.05/min](https://telnyx.com/resources/livekit-pricing-scale-voice-ai-costs) Voice AI | | [SignalWire](https://signalwire.com/) | All-in-one telecom and AI stack | [$0.16/min](https://signalwire.com/c/voice-ai-pricing) all AI components included | | [Agora](https://www.agora.io/) | Global scale, BYOK AI engine | [$0.10/min](https://docs.agora.io/en/conversational-ai/overview/pricing) ASR, LLM, and TTS included |

Pricing correct as of June 2026. Verify with each vendor.

## Why Look for a LiveKit Alternative? LiveKit powers OpenAI's ChatGPT Voice mode and gives teams direct control over their media stack via an open-source codebase. That architecture **generates operational costs** that compound quickly outside a prototype. That's usually the point where teams start looking for a LiveKit alternative. **Infrastructure overhead that sticks.** Self-hosting means owning deployment, scaling, and monitoring yourself. Teams without dedicated DevOps find that it eats engineering time that wasn't budgeted for it. **Cloud costs that compound at scale.** LiveKit Cloud charges [$0.01/min](https://livekit.com/pricing) per concurrent AI agent session, plus per-component fees for STT, TTS, telephony, and observability. Those components each carry their own per-minute rate on top of the base subscription. **Multi-vendor challenges.** A LiveKit voice agent typically involves separate providers for STT, LLM, TTS, telephony, and observability, each with its own billing cycle and its own failure modes. When latency spikes, you're guessing which of the five vendors caused it. **Telephony still requires assembly.** LiveKit added native SIP in 2025. Configuring SIP trunks, PSTN routing, and call transfer logic still falls to the team. Vapi, Retell, and SignalWire ship all of that as first-class features. **JavaScript is a second-class citizen.** LiveKit's Python SDK has deeper coverage than its JS counterpart. Teams in Node.js or TypeScript run into feature parity gaps that the Python SDK doesn't have. ## TL;DR: Which LiveKit Alternative Should You Choose? - **Choose Pipecat** if your team writes Python and wants full control over every pipeline component without paying a managed platform margin. Telephony and phone number provisioning require a separate integration. - **Choose Vapi** if you want a managed voice AI platform where you bring your own speech and language models, and your team can absorb the HIPAA add-on if compliance is required. - **Choose Retell AI** if you want a low-code path to production and your stack runs on standard US telephony. Budget beyond the advertised $0.07/min once LLM and telephony costs are added. - **Choose Daily.co** if you're already building on Pipecat and want the native transport layer behind it, or if you need a managed WebRTC platform with a free tier that doesn't require a credit card. - **Choose Telnyx** if you're running LiveKit today and want to cut speech processing costs by 50% without rebuilding your stack. If you're building web-only agents, you'll get less value from the carrier-grade telephony layer. - **Choose SignalWire** if predictable all-in billing matters more than modular control. At $0.16/min with every voice AI component bundled, finance can forecast the call bill before the month ends. - **Choose Agora** if your traffic is concentrated in Southeast Asia, India, or Latin America, where its SD-RTN edge wins on latency, or if you want a no-code Agent Studio for non-developer configuration. - **Stick with LiveKit** if you're above 10,000 minutes a month, have DevOps resources in place, and need vendor freedom across every layer of the stack. Engineering overhead is cheaper than platform margin at that scale. ## The 7 Best LiveKit Alternatives for Voice AI in 2026 All seven of these alternatives were tested on the **same Cekura evaluation suite:** scenario simulations, regression sweeps after prompt changes, and production replay. --- ### 1. Pipecat

I swapped the speech model mid-project with [Pipecat](https://www.pipecat.ai/), and nothing else broke. A provider swap in a tightly coupled framework typically cascades into multiple layers. Pipecat **treats each one as interchangeable by design**, and it held up on production projects. The tradeoff is that the framework is server-side Python only. If your team doesn't use it, there's a language ramp before any agent work starts.

"PipeCat is great if you want to go deep into custom routing, but you'll trade speed for control." (Verified User, Reddit)

#### Key Features - **Pipeline architecture:** Transport, speech recognition, LLM inference, and speech synthesis run as sequential processors. Round-trip runs [500 to 800ms](https://docs.pipecat.ai/overview/pipecat) under standard conditions. - **[80+ service integrations](https://www.daily.co/products/pipecat-cloud/):** Connects to Deepgram, OpenAI, ElevenLabs, Cartesia, Anthropic, Google, and more. Provider billing stays directly between the team and each vendor. - **Smart Turn v3:** Pipecat's open-source end-of-turn model, available as a drop-in. Unlike silence-based VAD, it uses ML to detect conversational cues like intonation patterns for more natural turn-taking. - **Pipecat Flows:** A structured conversation layer for branching dialogue with a defined state. Useful when a flat prompt loop keeps going off-script on multi-step flows. - **Pipecat Cloud:** Managed hosting with autoscaling, multi-region deployment, PSTN and SIP telephony, Krisp VIVA noise cancellation, and [HIPAA compliance](https://docs.pipecat.ai/deployment/pipecat-cloud/security/hipaa). #### Pros

✅ Vendor-neutral by design. Swap any provider, and the pipeline structure stays intact.

✅ Client SDKs cover JavaScript, React, React Native, iOS, Android, and C++.

✅ HIPAA compliance available on Pipecat Cloud.

#### Cons

❌ Python-only on the server side. Teams that don't already use it will need to pick it up before writing the first agent.

❌ Pipecat Cloud went GA in January 2026. Production track record at scale is shorter than LiveKit or Vapi.

❌ No observability dashboard on the framework layer. Monitoring requires Pipecat Cloud or a self-hosted solution.

#### Best For - Python teams that want pipeline-level control with infrastructure managed by Pipecat Cloud - Regulated industries that need HIPAA compliance on a self-serve plan - Multimodal agents that combine voice, video, and text in a single pipeline #### Pricing Pipecat is free and **open source under the BSD-2-Clause**. Pipecat Cloud charges [$0.01/min](https://www.daily.co/pricing/pipecat-cloud/) per active agent-1x session and $0.018/min for PSTN. Speech and model costs go directly to each provider. --- ### 2. Vapi

I had a [Vapi](https://vapi.ai/) agent answering calls the same day I signed up. That was six months ago, and the timeline hasn't changed. Fallbacks, latency balancing, and **multi-agent handoffs are handled** automatically. However, that ease has a cost side that I didn't fully price out until later. The platform **fee is only the starting number**. Provider fees, compliance add-ons, and model choices stack on top. The gap between the listed rate and the actual invoice can be wide.

"If you're going beyond quick demos, Vapi still wins for dev speed." (Verified User, Reddit)

#### Key Features - **Sub-500ms latency:** Vapi's infrastructure targets under [500ms](https://vapi.ai/enterprise) average response time. Dynamic Compute handles model fallbacks and latency balancing automatically. - **[200+ models](https://vapi.ai/platform) and integrations:** Use Vapi's managed list or bring your own models. Provider costs pass through at cost on the Build plan. - **Multi-agent orchestration:** Agents hand off to other agents mid-call, trigger tools via MCP, and pull live data during conversations while the session stays live. - **Telephony control:** Custom SIP, warm transfers, voicemail detection, phone number management, and DTMF support are included at every plan tier. - **Test suites and evals:** A/B testing, versioning, and structured call analysis built in. Compare configurations against the same scenario set before going live. #### Pros

✅ The full call lifecycle runs under one account. No separate vendor for building, deploying, monitoring, or scaling.

✅ Amazon Ring, Intuit, and ServiceTitan run production volume on it. If you're skeptical about scale, those names are a reasonable data point.

✅ SOC 2, HIPAA, and PCI compliance. SOC 2 Type II is certified platform-wide, while HIPAA is a $2,000/month add-on.

#### Cons

❌ HIPAA is a paid add-on. Confirm the total cost before comparing against alternatives with compliance bundled.

❌ Provider costs stack on top of the subscription fee. The actual per-minute total shifts a lot based on which models the team runs.

❌ The Scale plan is an annual contract, and volume pricing goes through a sales conversation.

#### Best For - Developer teams that want API-first control without managing voice infrastructure - Enterprise deployments that need SOC 2, HIPAA, and 99.9% uptime SLAs - Teams running multi-agent workflows where one call triggers handoffs across several agents #### Pricing Vapi's Build plan charges [$0.05/min](https://vapi.ai/pricing) for platform usage, with provider costs passed through at cost. The **Scale plan is an annual contract** with volume-based per-minute rates. HIPAA and Zero Data Retention are $2,000/month and $1,000/month add-ons, respectively. --- ### 3. Retell AI

[Retell AI](https://www.retellai.com/) got me to a working phone agent faster than any other tool I tested. Telephony, streaming, and **post-call analysis are pre-wired**, which is what makes it fast to ship. The tradeoff shows up in pricing. The advertised **rate covers the voice engine only**, and LLM and carrier costs are separate line items that stack on top, so the per-minute number depends on the full stack.

"Retell AI has significantly supported our team in deploying and building AI voice agents, and no complex development experience." (Luciana S., G2)

#### Key Features - **Conversation Flow Agent:** Structured conversation paths with fine-grained control over branching, state, and fallback behavior. Designed for teams that need predictable call outcomes. - **Batch Call:** Send outbound calls to a list at scale from the dashboard or API. Includes scheduling, concurrency controls, and per-call result tracking. - **Post Call Analysis:** Automatic extraction of custom variables, call outcomes, and sentiment from every call. Feeds directly into the dashboard without extra configuration. - **AI Quality Assurance:** Automated scoring of agent performance against defined criteria post-call. Replaces manual review for teams monitoring at volume. - **Branded Call ID:** Display a registered brand name on outbound calls. Verified numbers reduce spam flagging on US carrier networks. #### Pros

✅ 4.8/5 on G2 across 2,400+ verified reviews, with low latency and interruption handling cited consistently.

✅ Pay-as-you-go billing with no platform fee. Every account starts with free credits and 20 concurrent calls included.

✅ Native integrations with Twilio, Vonage, HubSpot, GoHighLevel, Make, and n8n are included without extra setup.

#### Cons

❌ The advertised rate covers the voice engine only. LLM and telephony costs are separate and depend on which providers the team uses.

❌ No visual flow builder. Prompt changes and conversation logic run through the API or SDK.

❌ Pay-as-you-go support runs through Discord and email only. Dedicated channels require an enterprise plan.

#### Best For - Developer teams that need telephony and streaming handled by the platform - Operations teams running high-volume outbound campaigns with batch calling at scale - If you want automated post-call QA built into the same platform you deploy on #### Pricing Retell charges [$0.07+/min](https://www.retellai.com/pricing) for AI voice agents with **no platform fee on pay-as-you-go**. LLM and telephony costs are billed separately based on which providers the team selects. Enterprise plans offer custom concurrency and volume-based pricing. --- ### 4. Daily

I ran [Daily](https://www.daily.co/) under load, expecting to troubleshoot WebRTC, but I never had to. Accenture, Pinterest, and Vapi itself run on it, which isn't surprising for **a platform that's been running WebRTC** in production since 2016. That longevity reflects what Daily is built for. It's a transport layer that handles WebRTC and leaves the agent logic to the application.

"Despite its advanced capabilities, the tool is intuitive and easy to navigate, which made onboarding quick and seamless." (Byron Cameron, Product Hunt)

#### Key Features - **Global Mesh Network:** WebRTC infrastructure in production since 2016. Clients include Accenture, Pinterest, Cal.com, and Vapi. - **Cross-platform SDKs:** JavaScript, React Native, iOS, Android, Python, and Flutter all share a common Rust core. Behavior stays consistent across all six targets. - **Pipecat integration:** Daily is the native transport layer for Pipecat. Voice agents connect to Daily rooms without extra configuration. - **Recording and live streaming:** Cloud recording with gapless audio transcoding, layout animations, and RTMP output. Layout and output settings are configurable from the dashboard. - **Daily React:** A React layer on the core SDK that handles state synchronization and event management, reducing custom client code. #### Pros

✅ Free tier with no credit card required. Start testing on the same day you sign up.

✅ In production since 2016. That's a longer track record than any other tool reviewed here.

✅ SOC 2 Type 2 certified. HIPAA compliance is available with the Healthcare Add-on, and Daily signs a BAA.

#### Cons

❌ Billing counts each participant's minutes separately. For example, a 10-minute call with two participants consumes 20 minutes.

❌ The Pipecat advantage is specific to that ecosystem. Teams on other frameworks get raw WebRTC transport.

❌ No voice agent orchestration built in. Call logic and model routing stay the team's responsibility.

#### Best For - If you're already running Pipecat agents and want the native transport layer ready to go - Projects where WebRTC reliability and long-term production track record matter more than feature breadth - Regulated industries that need HIPAA compliance and are prepared to add the Healthcare Add-on #### Pricing Daily Video charges [$0.004/participant](https://www.daily.co/pricing/video-sdk/) minute for video and audio calls, with **10,000 free minutes per month**. Pipecat Cloud agent hosting starts at $0.01/min per active session. Volume discounts apply automatically at scale. --- ### 5. Telnyx

The call quality on [Telnyx](https://telnyx.com/) was cleaner than on platforms **routing through third-party carriers**. Telnyx originates calls directly as a licensed carrier in [45+ countries](https://telnyx.com/products/voice-ai-agents), which is where the [sub-200ms](https://telnyx.com/products/voice-ai-agents) latency comes from. Getting onto that network takes longer than signing up for a software platform. Account **verification requires human review**, and outbound calling stays locked until the review clears, which can take several days.

"The developer-centric Voice API is the standout feature. It provided us with the granular, real-time control needed to build a sophisticated, self-hosted AI voice agent." (Lance D., G2)

#### Key Features - **Carrier-grade network:** Licensed carrier in 45+ countries with A-level STIR/SHAKEN attestation. Calls originate on Telnyx's own infrastructure across its carrier network. - **Sub-200ms latency:** GPU inference runs adjacent to Telnyx's telecom PoPs. Audio reaches the model through local PoPs, staying within the same region. - **Full-stack AI pricing:** $0.05/min base covers Conversational AI orchestration. STT and Telnyx Natural/HD TTS are included. Model tokens billed separately. - **Custom LLM and TTS:** Bring your own LLM or TTS API keys. OpenAI-compatible endpoints work directly with existing SDK code. - **LiveKit Plugin:** One line of code swaps LiveKit's STT and TTS for Telnyx's. [50% off](https://telnyx.com/resources/livekit-pricing-scale-voice-ai-costs) LiveKit speech pricing for the first 90 days. #### Pros

✅ Carrier-grade compliance with SOC 2, HIPAA, GDPR, and PCI-DSS, and in-region infrastructure for data residency.

✅ Operates in 45+ countries as a licensed carrier. STIR/SHAKEN A-level attestation is on by default for outbound calls.

✅ The LiveKit Plugin cuts speech processing costs for teams already on LiveKit without touching the rest of the stack.

#### Cons

❌ Account verification requires human review. Getting to live outbound calling takes at least a few days while Telnyx reviews the account.

❌ International number routing is inconsistent

❌ The all-in rate applies to Telnyx-native TTS only. Third-party voices, premium LLMs, and telephony fees carry separate line items.

#### Best For - Teams running high-volume outbound campaigns where carrier-grade STIR/SHAKEN attestation reduces spam labeling - Enterprise deployments that need in-region data processing for GDPR or PCI compliance - LiveKit users who want lower speech processing costs through a one-line integration #### Pricing Telnyx Conversational AI starts at [$0.05/min](https://telnyx.com/pricing/conversational-ai) for the base rate, with STT and standard TTS included. LLM tokens are billed separately per model. **Volume-based contracts are available** with committed monthly spend and dedicated support. --- ### 6. SignalWire

[SignalWire](https://signalwire.com/) was the first platform where my finance team stopped asking me what the call bill was going to look like. **You get one number and one invoice**. A voice AI minute on many platforms generates five separate invoices, but SignalWire collapses them all into $0.16/min. It's built by the FreeSWITCH team on infrastructure that's **been running since 2006**, and the fact that [2,000+ companies](https://signalwire.com/c/voice-ai-pricing) are in production on it shows that longevity has converted into adoption.

"SignalWire is so easy to build with. I had an AI agent live within less than an hour." (Chris G., G2)

#### Key Features - **All-in-one pricing:** $0.16/min covers STT, TTS, LLM, and telephony in a single line item. One invoice per month. - **Agents SDK:** Nine language bindings, including Python, TypeScript, Go, and Java. Each agent runs as a self-contained microservice with its own endpoint and tools. - **Multi-agent orchestration:** Coordinate multiple agents in a single call with context-aware routing, escalations, and handoffs between agents, humans, and SIP endpoints. - **Full telecom stack:** SIP, PSTN, and WebRTC in one programmable runtime built by the FreeSWITCH team. Carrier connectivity is included. - **SWML and SWAIG:** SWML defines call flows in YAML or JSON. SWAIG connects external data to agents at runtime through a standard webhook interface. #### Pros

✅ Phoenix Children's runs on it in production. The underlying FreeSWITCH stack has been in active use since 2006.

✅ Pay-as-you-go with no contract and no minimum spend.

✅ HIPAA, SOC 2, and PCI-compliant with serverless deployment options.

#### Cons

❌ The bundled rate applies only when using SignalWire's native STT, TTS, and LLM. BYOK changes the pricing structure.

❌ The telecom stack runs deep. SIP concepts surface before you write a single agent.

❌ Documentation quality is uneven across the SDK. Newer language bindings have less coverage than the Python SDK.

#### Best For - Teams where predictable per-minute billing matters more than modular provider selection - Developers with telephony or SIP backgrounds who want the full stack in one place - Contact center deployments that need multi-agent orchestration and IVR replacement in the same platform #### Pricing SignalWire charges [$0.16/min](https://signalwire.com/c/voice-ai-pricing) for all AI components on pay-as-you-go. **Volume-based contracts are available**. Contact sales for enterprise pricing and dedicated support. --- ### 7. Agora

I tested [Agora](https://www.agora.io/) specifically because a client had users in Indonesia and India, where every other platform was adding 400ms+ per response. Agora cut that in half. Agora carries [80 billion](https://www.agora.io/en/conversational-ai/) minutes per month across 200+ countries, which is **what backs that result**. SD-RTN routes through private edge nodes instead of the public internet. The network is mature. The Conversational **AI layer on top of it is newer**. It launched in March 2025, and the documentation is still catching up.

"Agora provides the best customization for the developer as per the need and application development." (Abhishek Kumar S., G2)

#### Key Features - **SD-RTN global network:** 200+ data centers worldwide. Conversations stay stable with up to 80% packet loss and brief network disconnections. - **[<200ms latency](https://www.agora.io/en/):** Machine learning routes each call to the lowest-latency path across private edge nodes. - **Conversational AI Engine:** Connect any LLM and TTS via API. Agora handles the network and audio processing. The AI model selection stays with the team. - **TEN Framework:** Open-source multimodal AI agent framework on [GitHub](https://github.com/TEN-framework/TEN-Agent). Supports voice, video, images, and text in a single agent pipeline. - **Agent Studio:** No-code builder for configuring ASR, LLM, and TTS presets from the dashboard. Released with preset support in March 2026. #### Pros

✅ Free tier available with no credit card required to start testing.

✅ 99.99% uptime on the underlying network. Conversations stay connected through up to 80% packet loss, per Agora's published network specs.

✅ TEN Framework is open source, so teams aren't locked into the managed engine if requirements change.

#### Cons

❌ Conversational AI Engine launched in March 2025. The docs haven't caught up to where the core RTC product is.

❌ BYOK deployments pay the standard rate plus model costs on top, so the listed price understates what you'll actually spend.

❌ No built-in telephony. PSTN calling requires a third-party SIP provider.

#### Best For - Teams with significant user traffic in Southeast Asia, India, or Latin America, where SD-RTN's edge coverage wins on latency - Multimodal agents that combine voice, video, and image processing in a single pipeline via the TEN Framework - Developers who want BYOK flexibility on both LLM and TTS with full control over model selection #### Pricing Agora Conversational AI Engine charges [$0.10/min](https://docs.agora.io/en/conversational-ai/overview/pricing) with 300 free minutes per month. ASR, LLM, and TTS are included when **using Agora-managed keys**. BYOK deployments pay the same rate plus direct provider costs. --- ## How to Evaluate LiveKit Alternatives Six questions the pricing pages won't answer when you're evaluating a LiveKit alternative. 1. **What does the all-in per-minute cost look like in practice?** Several platforms in this list advertise a platform fee and bury STT, TTS, LLM, and telephony as separate line items. Build a realistic cost model using your expected call volume, average call length, and the specific models your stack requires before committing. 2. **Where does the latency number come from?** A published sub-500ms figure usually measures model inference only. The full round-trip adds network, auth, and encoding on top of that. Check whether the number comes from third-party benchmarks and whether it holds under load. 3. **What compliance is included in your plan tier?** SOC 2, HIPAA, and GDPR appear as feature bullets across the pricing pages in this list. Confirm whether they're active on the plan you'll use or locked behind an enterprise contract before you build data flows around them. 4. **Can you bring your own models, and what does that cost?** BYOK support varies significantly. Some platforms pass provider costs through at cost, while others add margin or require specific plan tiers. If you have preferred LLM or TTS providers, verify the integration before the build starts. 5. **How is telephony handled, and what does that mean for your use case?** Framework-based tools like Pipecat and Agora treat telephony as an external integration, but managed platforms like Vapi, Retell, and Telnyx ship it natively. Which works best depends on whether you're building a web agent or a phone agent. 6. **What does the concurrency model look like under traffic spikes?** Every platform caps concurrent sessions by tier. Find out whether hitting the cap queues calls, drops them, or returns a hard error. Ask what the upgrade path looks like before you need it in a live deployment. ## How to Test Your LiveKit Alternative in Production Picking a LiveKit alternative takes an afternoon, but finding out the new one breaks under live callers takes longer, and many teams discover the problem after go-live. [Cekura](https://www.cekura.ai/) runs on top of whichever platform you pick and covers that blind spot. - **Testing at scale:** Thousands of simulated calls run before go-live, catching the [edge cases](https://www.cekura.ai/blogs/cekura-scripted-testing-tools-for-ivr-and-voice-agents) that only surface when real people push your agent off-script. - **Latency tracking:** Cekura [pinpoints](https://www.cekura.ai/blogs/the-silence-between-words-architecting-resilient-voice-ai-systems) where slowdowns originate in the pipeline so you know exactly what to fix after each change. - **CI/CD integration:** Every time you update a prompt or swap a vendor, Cekura runs your full test suite before the change goes live. - **[A/B testing](https://www.cekura.ai/blogs/cekura-automated-test-case-generation-for-voice-agents):** Compare multiple versions of your agent against the same call scenarios and review results in one place. - **Conversation replay:** When something breaks, replay that exact exchange against your updated configuration to confirm the fix held. Integrations are pre-built for [Retell](https://docs.cekura.ai/documentation/integrations/retell/testing), [VAPI](https://docs.cekura.ai/documentation/integrations/vapi/testing), [ElevenLabs](https://docs.cekura.ai/documentation/integrations/elevenlabs/testing), [LiveKit](https://docs.cekura.ai/documentation/integrations/livekit/testing), [Pipecat](https://docs.cekura.ai/documentation/integrations/pipecat/automated), [Bland](https://docs.cekura.ai/documentation/integrations/chat-testing#bland), and more. It sits on top of what you already have. **Cekura supports SOC 2, HIPAA, and GDPR [compliance](https://tatva-labs-inc.trust.site/compliance)**, covering transcript redaction, role-based access, and audit trails. Switching to a LiveKit alternative takes days. Knowing whether the new stack performs under production load takes longer. [Schedule a demo](https://www.cekura.ai/expert) to see how Cekura fits into your testing workflow. ## Frequently Asked Questions ### What is the best LiveKit alternative for voice AI agents in 2026? The best LiveKit **alternative depends on your stack**. Use Pipecat for pipeline-level control, Vapi for a managed platform at scale, Retell for the fastest path to a working phone agent, and Telnyx or **SignalWire for telephony-first deployments**. ### Is LiveKit free to use? Yes, LiveKit is free and open source **under the MIT license for self-hosting**. [LiveKit Cloud](https://livekit.com/pricing) offers a free Build tier with 1,000 agent session minutes per month. Paid plans start at $50/month. ### What is the difference between LiveKit and Pipecat? LiveKit and Pipecat solve different problems. LiveKit is **infrastructure-first and ships its own agent framework**; Pipecat is a **vendor-neutral pipeline framework** that can run on top of LiveKit as its transport layer. ### Can I self-host a LiveKit alternative? Yes, several **Livekit alternatives support self-hosting**. Pipecat is open source under BSD-2-Clause and runs on any infrastructure. Agora's TEN Framework is also open source. SignalWire is built on FreeSWITCH, which **has been self-hostable since 2006**.

Posts tagged with "Webrtc"

7 LiveKit Alternatives Worth Switching To in 2026