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    <title><![CDATA[StreamingMeme — LiveKit coverage]]></title>
    <link>https://www.streamingmeme.com</link>
    <description><![CDATA[Articles mentioning LiveKit.]]></description>
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    <lastBuildDate>Tue, 22 Sep 2026 00:00:00 GMT</lastBuildDate>
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      <title><![CDATA[StreamingMeme — LiveKit coverage]]></title>
      <link>https://www.streamingmeme.com</link>
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    <item>
      <title><![CDATA[LiveKit launches Private Links for secure agent access to internal data]]></title>
      <link><![CDATA[https://livekit.com/blog/introducing-private-links-on-livekit]]></link>
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      <pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[LiveKit has launched Private Links, a managed service that provides encrypted tunnels between hosted AI agents and internal cloud resources via AWS PrivateLink and Azure Private Link. The service allows enterprises to securely connect agents to sensitive data without exposing internal systems to the public internet.]]></description>
      <content:encoded><![CDATA[LiveKit has launched Private Links, a managed service that provides encrypted tunnels between hosted AI agents and internal cloud resources via AWS PrivateLink and Azure Private Link. The service allows enterprises to securely connect agents to sensitive data without exposing internal systems to the public internet.]]></content:encoded>
      <dc:creator><![CDATA[LiveKit]]></dc:creator>
      <author><![CDATA[LiveKit]]></author>
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    </item>

    <item>
      <title><![CDATA[LiveKit and Pipecat emerge as leading open source AI agent frameworks]]></title>
      <link><![CDATA[https://livekit.com/blog/best-open-source-voice-and-video-ai-agent-frameworks]]></link>
      <guid isPermaLink="false">29087e0d-d657-4fcf-9fc5-e59f9fd7a28d</guid>
      <pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[LiveKit provides a comparative analysis of its own Agents framework against Pipecat, evaluating their respective architectures, transport requirements, and production readiness for voice and video AI agents. The guide outlines the trade-offs between LiveKit's integrated infrastructure approach and Pipecat's modular, transport-agnostic pipeline design.]]></description>
      <content:encoded><![CDATA[LiveKit provides a comparative analysis of its own Agents framework against Pipecat, evaluating their respective architectures, transport requirements, and production readiness for voice and video AI agents. The guide outlines the trade-offs between LiveKit's integrated infrastructure approach and Pipecat's modular, transport-agnostic pipeline design.]]></content:encoded>
      <dc:creator><![CDATA[LiveKit]]></dc:creator>
      <author><![CDATA[LiveKit]]></author>
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    <item>
      <title><![CDATA[Jitsi Meet leads WebRTC open source media servers with 29,875 stars]]></title>
      <link><![CDATA[https://bloggeek.me/webrtc-open-source-media-servers-github/]]></link>
      <guid isPermaLink="false">b2162f12-2b00-4782-9c46-abd637aed9f8</guid>
      <pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[An analysis of the WebRTC open source media server landscape as of September 2026 highlights Jitsi Meet, LiveKit, and Pion as the leading projects by GitHub popularity. The report evaluates these tools based on commit activity and contributor distribution, noting that project selection should be driven by specific use cases like conferencing, programmable backends, or streaming.]]></description>
      <content:encoded><![CDATA[An analysis of the WebRTC open source media server landscape as of September 2026 highlights Jitsi Meet, LiveKit, and Pion as the leading projects by GitHub popularity. The report evaluates these tools based on commit activity and contributor distribution, noting that project selection should be driven by specific use cases like conferencing, programmable backends, or streaming.]]></content:encoded>
      <dc:creator><![CDATA[BlogGeek.me]]></dc:creator>
      <author><![CDATA[BlogGeek.me]]></author>
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    <item>
      <title><![CDATA[LiveKit details VAD inference latency issues in voice agent processes]]></title>
      <link><![CDATA[https://livekit.com/blog/inference-is-slower-than-realtime]]></link>
      <guid isPermaLink="false">64908cb9-8940-4b7f-b2ca-e4c5ccb340cb</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[LiveKit has published technical guidance for developers to diagnose and resolve 'inference is slower than realtime' warnings in their voice agent applications. The guide explains how CPU starvation and blocked event loops in Python or Node.js environments can cause voice activity detection (VAD) latency, impacting turn detection and overall audio quality.]]></description>
      <content:encoded><![CDATA[LiveKit has published technical guidance for developers to diagnose and resolve 'inference is slower than realtime' warnings in their voice agent applications. The guide explains how CPU starvation and blocked event loops in Python or Node.js environments can cause voice activity detection (VAD) latency, impacting turn detection and overall audio quality.]]></content:encoded>
      <dc:creator><![CDATA[LiveKit]]></dc:creator>
      <author><![CDATA[LiveKit]]></author>
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    <item>
      <title><![CDATA[LiveKit launches Connectors for Twilio and WhatsApp Business Calling]]></title>
      <link><![CDATA[https://livekit.com/blog/introducing-livekit-connectors]]></link>
      <guid isPermaLink="false">ecbbfd38-64c9-4a37-a184-59b7e50c6682</guid>
      <pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[LiveKit has launched LiveKit Connectors, a new service that integrates AI voice agents directly with Twilio Programmable Voice and WhatsApp Business Calling. The solution allows developers to bridge telephony and WhatsApp WebRTC streams into LiveKit rooms without requiring SIP trunks or additional gateways.]]></description>
      <content:encoded><![CDATA[LiveKit has launched LiveKit Connectors, a new service that integrates AI voice agents directly with Twilio Programmable Voice and WhatsApp Business Calling. The solution allows developers to bridge telephony and WhatsApp WebRTC streams into LiveKit rooms without requiring SIP trunks or additional gateways.]]></content:encoded>
      <dc:creator><![CDATA[LiveKit]]></dc:creator>
      <author><![CDATA[LiveKit]]></author>
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    <item>
      <title><![CDATA[Baseten and Cerebras lead voice AI latency and throughput benchmarks]]></title>
      <link><![CDATA[https://www.marktechpost.com/2026/08/30/lowest-latency-inference-apis-for-voice-and-realtime-agents-a-time-to-first-token-ttft-first-benchmark/]]></link>
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      <pubDate>Sun, 30 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[This article provides a comprehensive benchmark of latency metrics for voice AI agents, emphasizing that time-to-first-token (TTFT) is insufficient for measuring conversational performance. It highlights the importance of time-to-first-sentence (TTFS) and end-to-end latency budgets, while evaluating various LLM, STT, and TTS providers based on independent data from Artificial Analysis and LiveKit.]]></description>
      <content:encoded><![CDATA[This article provides a comprehensive benchmark of latency metrics for voice AI agents, emphasizing that time-to-first-token (TTFT) is insufficient for measuring conversational performance. It highlights the importance of time-to-first-sentence (TTFS) and end-to-end latency budgets, while evaluating various LLM, STT, and TTS providers based on independent data from Artificial Analysis and LiveKit.]]></content:encoded>
      <dc:creator><![CDATA[Marktechpost]]></dc:creator>
      <author><![CDATA[Marktechpost]]></author>
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    <item>
      <title><![CDATA[Speechmatics integrates Linden STT model into LiveKit Inference platform]]></title>
      <link><![CDATA[https://www.speechmatics.com/company/articles-and-news/speechmatics-linden-livekit-inference]]></link>
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      <pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Speechmatics has integrated its Linden speech-to-text model into the LiveKit Inference platform, allowing developers to access the model without separate API keys or billing. The integration aims to improve transcription accuracy for voice agents in noisy, multi-speaker, and non-native language environments.]]></description>
      <content:encoded><![CDATA[Speechmatics has integrated its Linden speech-to-text model into the LiveKit Inference platform, allowing developers to access the model without separate API keys or billing. The integration aims to improve transcription accuracy for voice agents in noisy, multi-speaker, and non-native language environments.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
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    </item>

    <item>
      <title><![CDATA[LiveKit and Vapi AI converge on no-code voice agent tools]]></title>
      <link><![CDATA[https://www.cloudtalk.io/livekit-vs-vapi-ai/]]></link>
      <guid isPermaLink="false">4e4dde32-84f8-4d76-9af9-b8c24b6519bc</guid>
      <pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[LiveKit and Vapi AI have both updated their voice AI platforms, with LiveKit launching a no-code Agent Builder and Vapi transitioning to its Squads orchestration framework. The article provides a comparative analysis of these platforms, highlighting the trade-offs between LiveKit's open-source infrastructure and Vapi's managed telephony-first service.]]></description>
      <content:encoded><![CDATA[LiveKit and Vapi AI have both updated their voice AI platforms, with LiveKit launching a no-code Agent Builder and Vapi transitioning to its Squads orchestration framework. The article provides a comparative analysis of these platforms, highlighting the trade-offs between LiveKit's open-source infrastructure and Vapi's managed telephony-first service.]]></content:encoded>
      <dc:creator><![CDATA[CloudTalk]]></dc:creator>
      <author><![CDATA[CloudTalk]]></author>
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    <item>
      <title><![CDATA[LiveKit adds LLM-powered PII redaction to Agent Observability platform]]></title>
      <link><![CDATA[https://livekit.com/blog/introducing-pii-redaction-for-livekit-observability]]></link>
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      <pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[LiveKit has introduced a PII redaction feature for its Agent Observability service, utilizing LLMs to identify and redact sensitive information from voice conversation transcripts and audio. The feature supports 41 categories of PII and is available at no additional cost to customers using the latest LiveKit Agents SDK.]]></description>
      <content:encoded><![CDATA[LiveKit has introduced a PII redaction feature for its Agent Observability service, utilizing LLMs to identify and redact sensitive information from voice conversation transcripts and audio. The feature supports 41 categories of PII and is available at no additional cost to customers using the latest LiveKit Agents SDK.]]></content:encoded>
      <dc:creator><![CDATA[LiveKit]]></dc:creator>
      <author><![CDATA[LiveKit]]></author>
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    <item>
      <title><![CDATA[LiveKit launches expressive mode for AI voice agents]]></title>
      <link><![CDATA[https://livekit.com/blog/making-voice-agents-sound-human-with-expressive-mode]]></link>
      <guid isPermaLink="false">2651236c-ae2d-4033-913a-aa4b96422c34</guid>
      <pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[LiveKit has introduced an expressive mode for its Agents framework, designed to inject emotional prosody and non-verbal cues into AI-generated voice interactions. The system acts as a translation layer between LLMs and various text-to-speech providers to improve the emotional delivery of automated voice agents.]]></description>
      <content:encoded><![CDATA[LiveKit has introduced an expressive mode for its Agents framework, designed to inject emotional prosody and non-verbal cues into AI-generated voice interactions. The system acts as a translation layer between LLMs and various text-to-speech providers to improve the emotional delivery of automated voice agents.]]></content:encoded>
      <dc:creator><![CDATA[LiveKit]]></dc:creator>
      <author><![CDATA[LiveKit]]></author>
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    </item>

    <item>
      <title><![CDATA[LiveKit and Daily compete for WebRTC voice AI infrastructure dominance]]></title>
      <link><![CDATA[https://saasbonus.com/blog-details/livekit-vs-daily-best-webrtc-engine-for-voice-ai]]></link>
      <guid isPermaLink="false">1243977b-9f45-4e58-b025-b788d060a702</guid>
      <pubDate>Mon, 10 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[This article provides a technical comparison between LiveKit and Daily for building sub-300ms latency voice AI agents. It evaluates their respective architectures, focusing on LiveKit's open-source, self-hostable SFU model versus Daily's managed global network and modular Pipecat pipeline framework.]]></description>
      <content:encoded><![CDATA[This article provides a technical comparison between LiveKit and Daily for building sub-300ms latency voice AI agents. It evaluates their respective architectures, focusing on LiveKit's open-source, self-hostable SFU model versus Daily's managed global network and modular Pipecat pipeline framework.]]></content:encoded>
      <dc:creator><![CDATA[Saasbonus]]></dc:creator>
      <author><![CDATA[Saasbonus]]></author>
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    <item>
      <title><![CDATA[LiveKit benchmarks show Google Gemma 4 31B leading in voice latency]]></title>
      <link><![CDATA[https://livekit.com/benchmarks/capabilities]]></link>
      <guid isPermaLink="false">461d6e44-8340-4166-a71e-600aa3b51b59</guid>
      <pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[LiveKit has published a benchmark report comparing the performance and cost-efficiency of various LLMs for voice AI agent scenarios, such as hotel receptionists. The data indicates that Google's Gemma 4 31B model outperformed several OpenAI GPT models in terms of time-to-first-token latency and operational cost.]]></description>
      <content:encoded><![CDATA[LiveKit has published a benchmark report comparing the performance and cost-efficiency of various LLMs for voice AI agent scenarios, such as hotel receptionists. The data indicates that Google's Gemma 4 31B model outperformed several OpenAI GPT models in terms of time-to-first-token latency and operational cost.]]></content:encoded>
      <dc:creator><![CDATA[LiveKit]]></dc:creator>
      <author><![CDATA[LiveKit]]></author>
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    </item>

    <item>
      <title><![CDATA[LiveKit details causes and fixes for AI agent join latency]]></title>
      <link><![CDATA[https://livekit.com/blog/agent-join-latency]]></link>
      <guid isPermaLink="false">d62dbd9b-80f5-4e68-aa96-cc3fa19cdeb2</guid>
      <pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[LiveKit provides a technical guide on diagnosing and optimizing 'agent join latency' for AI-driven streaming agents. The post details common bottlenecks, such as cold starts on cloud infrastructure and sub-optimal worker scaling in self-hosted environments.]]></description>
      <content:encoded><![CDATA[LiveKit provides a technical guide on diagnosing and optimizing 'agent join latency' for AI-driven streaming agents. The post details common bottlenecks, such as cold starts on cloud infrastructure and sub-optimal worker scaling in self-hosted environments.]]></content:encoded>
      <dc:creator><![CDATA[LiveKit]]></dc:creator>
      <author><![CDATA[LiveKit]]></author>
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    </item>

    <item>
      <title><![CDATA[Fish Audio secures $52M seed round following $21M revenue milestone]]></title>
      <link><![CDATA[https://techcrunch.com/2026/07/28/fish-audio-raises-50m-seed-to-build-ai-voice-models-for-creators-and-enterprises/]]></link>
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      <pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Fish Audio has raised $52 million in a seed funding round led by Coreline Ventures and Capital Today to scale its generative AI voice models for creators and enterprise customers. The company currently generates $21 million in annual recurring revenue and provides synthetic voice APIs to partners including HeyGen and LiveKit.]]></description>
      <content:encoded><![CDATA[Fish Audio has raised $52 million in a seed funding round led by Coreline Ventures and Capital Today to scale its generative AI voice models for creators and enterprise customers. The company currently generates $21 million in annual recurring revenue and provides synthetic voice APIs to partners including HeyGen and LiveKit.]]></content:encoded>
      <dc:creator><![CDATA[TechCrunch]]></dc:creator>
      <author><![CDATA[TechCrunch]]></author>
      <enclosure url="https://techcrunch.com/wp-content/uploads/2026/07/Fish-Audio-CoFounders.jpeg?resize=1200,675" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Smallest.ai integrates Pulse STT and Lightning TTS with LiveKit Agents]]></title>
      <link><![CDATA[https://smallest.ai/blog/real-time-voice-ai-with-livekit-stt-and-tts-integration-guide]]></link>
      <guid isPermaLink="false">3be0ef5d-875b-49c2-8a87-c0fe9e17772d</guid>
      <pubDate>Mon, 27 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Smallest.ai has released an integration guide for connecting its Pulse speech-to-text and Lightning text-to-speech models with the open-source LiveKit Agents framework. The guide details how developers can implement a streaming pipeline intended to achieve sub-second latency for voice AI applications.]]></description>
      <content:encoded><![CDATA[Smallest.ai has released an integration guide for connecting its Pulse speech-to-text and Lightning text-to-speech models with the open-source LiveKit Agents framework. The guide details how developers can implement a streaming pipeline intended to achieve sub-second latency for voice AI applications.]]></content:encoded>
      <dc:creator><![CDATA[Smallest.ai]]></dc:creator>
      <author><![CDATA[Smallest.ai]]></author>
      <enclosure url="https://framerusercontent.com/images/iw3ysfQ8Sorfe3l17VCxEdZIkNo.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[LiveKit Cloud undercuts Daily.co as WebRTC cost flip points emerge]]></title>
      <link><![CDATA[https://www.forasoft.com/blog/article/daily-co-alternative]]></link>
      <guid isPermaLink="false">99f46a28-052c-4e4a-a592-a7f924c3fc0d</guid>
      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Fora Soft provides a 2026 economic and technical comparison of real-time video SDKs, highlighting cost-efficiency thresholds between managed platforms like Daily.co and custom WebRTC builds. The guide presents vendor 'flip points' based on participant-minutes to assist engineering leads in evaluating whether to maintain CPaaS contracts or transition to self-hosted architectures.]]></description>
      <content:encoded><![CDATA[Fora Soft provides a 2026 economic and technical comparison of real-time video SDKs, highlighting cost-efficiency thresholds between managed platforms like Daily.co and custom WebRTC builds. The guide presents vendor 'flip points' based on participant-minutes to assist engineering leads in evaluating whether to maintain CPaaS contracts or transition to self-hosted architectures.]]></content:encoded>
      <dc:creator><![CDATA[Fora Soft]]></dc:creator>
      <author><![CDATA[Fora Soft]]></author>
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    </item>

    <item>
      <title><![CDATA[LiveKit migration successfully replaces aging Kurento stack for production voice AI]]></title>
      <link><![CDATA[https://webrtc.ventures/2026/07/kurento-to-livekit-migration-case-study/]]></link>
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      <pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[WebRTC.ventures published a case study detailing the migration of a complex production platform from Kurento to LiveKit. The migration successfully addressed issues with scalability, cost, and operational complexity while enabling modern AI voice agent integrations.]]></description>
      <content:encoded><![CDATA[WebRTC.ventures published a case study detailing the migration of a complex production platform from Kurento to LiveKit. The migration successfully addressed issues with scalability, cost, and operational complexity while enabling modern AI voice agent integrations.]]></content:encoded>
      <dc:creator><![CDATA[WebRTC.ventures]]></dc:creator>
      <author><![CDATA[WebRTC.ventures]]></author>
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    </item>

    <item>
      <title><![CDATA[LiveKit launches Gemma 4 for sub-400ms voice AI response times]]></title>
      <link><![CDATA[https://livekit.com/blog/latency-optimized-inference-gemma-4-on-livekit]]></link>
      <guid isPermaLink="false">1ec55e3f-1d09-44a6-83bf-e3c12e8eec79</guid>
      <pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[LiveKit has deployed a latency-optimized version of the 31B-parameter Gemma 4 model within its Inference service. The deployment targets real-time voice AI applications by focusing on low time-to-first-token and improved response speeds compared to existing model providers.]]></description>
      <content:encoded><![CDATA[LiveKit has deployed a latency-optimized version of the 31B-parameter Gemma 4 model within its Inference service. The deployment targets real-time voice AI applications by focusing on low time-to-first-token and improved response speeds compared to existing model providers.]]></content:encoded>
      <dc:creator><![CDATA[LiveKit]]></dc:creator>
      <author><![CDATA[LiveKit]]></author>
      <enclosure url="https://livekit.com/blog/content/images/2026/07/gemma-4-og.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[LiveKit Turn Detector v1 fuses acoustic and semantic cues for voice AI]]></title>
      <link><![CDATA[https://livekit.com/blog/solving-end-of-turn-detection]]></link>
      <guid isPermaLink="false">edb4dad8-b3f2-4578-8a8c-8c99805ac88d</guid>
      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[LiveKit has released Turn Detector v1, a voice AI model that uses combined acoustic and semantic processing to predict speaker end-of-turn events directly from audio streams. Designed to optimize conversational flow for streaming agents, the model reduces false cut-offs to 9.9% within a 300 ms latency budget and is accompanied by an open-source benchmark suite called eot-bench.]]></description>
      <content:encoded><![CDATA[LiveKit has released Turn Detector v1, a voice AI model that uses combined acoustic and semantic processing to predict speaker end-of-turn events directly from audio streams. Designed to optimize conversational flow for streaming agents, the model reduces false cut-offs to 9.9% within a 300 ms latency budget and is accompanied by an open-source benchmark suite called eot-bench.]]></content:encoded>
      <dc:creator><![CDATA[Livekit]]></dc:creator>
      <author><![CDATA[Livekit]]></author>
      <enclosure url="https://livekit.com/blog/content/images/2026/06/eot-v1-og.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Google launches Gemini 3.5 Live Translate with 70-language speech-to-speech support]]></title>
      <link><![CDATA[https://slator.com/google-ai-live-speech-translation-gemini-3-5-live-translate/]]></link>
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      <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Google has launched Gemini 3.5 Live Translate, a new speech-to-speech AI model supporting over 70 languages which is rolling out across consumer, enterprise, and developer products. The model will expand real-time translation features in Google Meet for Workspace customers and the Google Translate mobile app. It is also available via the Gemini Live API, allowing developers to build multilingual voice applications for various use cases including live broadcasting, with partners like Agora and LiveKit already integrating it.]]></description>
      <content:encoded><![CDATA[Google has launched Gemini 3.5 Live Translate, a new speech-to-speech AI model supporting over 70 languages which is rolling out across consumer, enterprise, and developer products. The model will expand real-time translation features in Google Meet for Workspace customers and the Google Translate mobile app. It is also available via the Gemini Live API, allowing developers to build multilingual voice applications for various use cases including live broadcasting, with partners like Agora and LiveKit already integrating it.]]></content:encoded>
      <dc:creator><![CDATA[Slator]]></dc:creator>
      <author><![CDATA[Slator]]></author>
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    </item>

    <item>
      <title><![CDATA[Google releases Gemini 3.5 Live Translate for fluid speech-to-speech translation]]></title>
      <link><![CDATA[https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-live-3-5-translate/]]></link>
      <guid isPermaLink="false">aaa8bd08-a2a6-4727-a13a-ca7b5612b662</guid>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Google has launched Gemini 3.5 Live Translate, an AI audio model that provides near real-time, fluid speech-to-speech translation in over 70 languages. This technology is rolling out across Google products like Meet and Google Translate, and is also available for developers via the Gemini Live API, with integrations already announced by several developer platforms including Agora and LiveKit. The model preserves speaker intonation and pacing, enabling more natural communication for multilingual calls, meetings, lessons, and broadcasts.]]></description>
      <content:encoded><![CDATA[Google has launched Gemini 3.5 Live Translate, an AI audio model that provides near real-time, fluid speech-to-speech translation in over 70 languages. This technology is rolling out across Google products like Meet and Google Translate, and is also available for developers via the Gemini Live API, with integrations already announced by several developer platforms including Agora and LiveKit. The model preserves speaker intonation and pacing, enabling more natural communication for multilingual calls, meetings, lessons, and broadcasts.]]></content:encoded>
      <dc:creator><![CDATA[Google]]></dc:creator>
      <author><![CDATA[Google]]></author>
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    </item>

    <item>
      <title><![CDATA[WebRTC.ventures Details Voice AI Security with LiveKit Guardrails]]></title>
      <link><![CDATA[https://webrtc.ventures/2026/06/slug-voice-ai-security-webrtc-livekit-guardrails/]]></link>
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      <pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[WebRTC.ventures published an article discussing WebRTC security for voice AI applications. The article specifically mentions LiveKit Guardrails, a solution for implementing secure low-latency communication.]]></description>
      <content:encoded><![CDATA[WebRTC.ventures published an article discussing WebRTC security for voice AI applications. The article specifically mentions LiveKit Guardrails, a solution for implementing secure low-latency communication.]]></content:encoded>
      <dc:creator><![CDATA[WebRTC.ventures]]></dc:creator>
      <author><![CDATA[WebRTC.ventures]]></author>
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    </item>

    <item>
      <title><![CDATA[Voice AI Pipeline Filters Sensitive Data in Real Time]]></title>
      <link><![CDATA[https://www.youtube.com/watch?v=-xg9T6eto1A]]></link>
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      <pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[This article highlights a voice AI pipeline designed for real-time security, employing LiveKit, Whisper, OpenAI, and Kokoro, with GLiGuard for sensitive data detection. The system detects and filters PII, PHI, and PCI in live conversations to ensure large language models receive safe text, crucial for streaming services handling customer interactions. A demo illustrates its ability to block sensitive information before it reaches the LLM and before unsafe responses are generated.]]></description>
      <content:encoded><![CDATA[This article highlights a voice AI pipeline designed for real-time security, employing LiveKit, Whisper, OpenAI, and Kokoro, with GLiGuard for sensitive data detection. The system detects and filters PII, PHI, and PCI in live conversations to ensure large language models receive safe text, crucial for streaming services handling customer interactions. A demo illustrates its ability to block sensitive information before it reaches the LLM and before unsafe responses are generated.]]></content:encoded>
      <dc:creator><![CDATA[YouTube]]></dc:creator>
      <author><![CDATA[YouTube]]></author>
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    </item>

    <item>
      <title><![CDATA[Building a real-time AI patient simulator that actually feels real — here's the architecture that made it possible]]></title>
      <link><![CDATA[https://www.linkedin.com/posts/srikaran-kothuri-28184a355_systemsdesign-webrtc-llmengineering-activity-7464846195279147009-E6az?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAGj3QzoBPRsgTVGG0ARCDLM1JR3eJB9BzNg]]></link>
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      <pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Srikaran Kothuri detailed the system architecture for KarAI, a real-time AI patient simulator, focusing on achieving sub-3 second voice-to-voice latency. Key architectural decisions included a zero-backend, client-side application, asynchronous pipeline decoupling of LLM and avatar rendering, and the use of LiveKit WebRTC for low-latency audio transport. The system begins audio playback from the first byte, resulting in an average latency of 2.7 seconds.]]></description>
      <content:encoded><![CDATA[Srikaran Kothuri detailed the system architecture for KarAI, a real-time AI patient simulator, focusing on achieving sub-3 second voice-to-voice latency. Key architectural decisions included a zero-backend, client-side application, asynchronous pipeline decoupling of LLM and avatar rendering, and the use of LiveKit WebRTC for low-latency audio transport. The system begins audio playback from the first byte, resulting in an average latency of 2.7 seconds.]]></content:encoded>
      <dc:creator><![CDATA[srikaran kothuri]]></dc:creator>
      <author><![CDATA[srikaran kothuri]]></author>
      
    </item>

    <item>
      <title><![CDATA[LiveKit Appoints Tom Davies as Chief Revenue Officer to Accelerate Enterprise Growth]]></title>
      <link><![CDATA[https://www.usatoday.com/press-release/story/33085/livekit-appoints-tom-davies-as-chief-revenue-officer-to-accelerate-enterprise-growth/]]></link>
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      <pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[BUSINESS_NEWS]]></category>
      <description><![CDATA[LiveKit, a platform specializing in building voice, video, and physical AI agents, announced the appointment of Tom Davies as its Chief Revenue Officer (CRO).
This hiring aims to accelerate the company's enterprise growth. Davies brings prior experience from NVIDIA and Marvell Technology.]]></description>
      <content:encoded><![CDATA[LiveKit, a platform specializing in building voice, video, and physical AI agents, announced the appointment of Tom Davies as its Chief Revenue Officer (CRO).
This hiring aims to accelerate the company's enterprise growth. Davies brings prior experience from NVIDIA and Marvell Technology.]]></content:encoded>
      <dc:creator><![CDATA[USA Today]]></dc:creator>
      <author><![CDATA[USA Today]]></author>
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    <item>
      <title><![CDATA[LiveKit Reaches $1B Valuation With $100M Raise as Voice AI Infrastructure Demand Surges]]></title>
      <link><![CDATA[https://theaiinsider.tech/2026/01/26/livekit-reaches-1b-valuation-with-100m-raise-as-voice-ai-infrastructure-demand-surges/]]></link>
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      <pubDate>Mon, 26 Jan 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[LiveKit raised $100 million at a $1 billion valuation in a round led by Index Ventures with participation from Altimeter Capital, Hanabi Capital, and Redpoint Ventures. The company, founded in 2021 and originating as an open-source low-latency audio/video project, now operates a managed cloud platform used by OpenAI (for ChatGPT's voice mode), xAI, Salesforce, Tesla, and various emergency and healthcare providers.]]></description>
      <content:encoded><![CDATA[LiveKit raised $100 million at a $1 billion valuation in a round led by Index Ventures with participation from Altimeter Capital, Hanabi Capital, and Redpoint Ventures. The company, founded in 2021 and originating as an open-source low-latency audio/video project, now operates a managed cloud platform used by OpenAI (for ChatGPT's voice mode), xAI, Salesforce, Tesla, and various emergency and healthcare providers.]]></content:encoded>
      <dc:creator><![CDATA[The AI Insider]]></dc:creator>
      <author><![CDATA[The AI Insider]]></author>
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    </item>

    <item>
      <title><![CDATA[Wrapped Up Day 1 of the Murf AI Voice Agent Challenge]]></title>
      <link><![CDATA[https://www.linkedin.com/posts/akhil-gupta-10b638273_murfaivoiceagentschallenge-10daysofaivoiceagents-activity-7398004015965569024-cbkz?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAGFhuZ8BPGFQH9UtWkioOPSzdksjNWLO2MA]]></link>
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      <pubDate>Sat, 22 Nov 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[The Day 1 update of the Murf AI Voice Agent Challenge reveals the development of a real-time voice agent pipeline using technologies like LiveKit and Murf Falcon. This innovation aims to enhance user interaction through smoother voice responses, showcasing potential applications in the streaming video sector.]]></description>
      <content:encoded><![CDATA[The Day 1 update of the Murf AI Voice Agent Challenge reveals the development of a real-time voice agent pipeline using technologies like LiveKit and Murf Falcon. This innovation aims to enhance user interaction through smoother voice responses, showcasing potential applications in the streaming video sector.]]></content:encoded>
      <dc:creator><![CDATA[Akhil Gupta]]></dc:creator>
      <author><![CDATA[Akhil Gupta]]></author>
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    <item>
      <title><![CDATA[A New Journey Begins – 10 Days of AI Voice Agents Challenge]]></title>
      <link><![CDATA[https://www.linkedin.com/posts/bhavesh-nikam09_murfaivoiceagentschallenge-10daysofaivoiceagents-activity-7398007231604240384-Conn?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAGE9Lq0B7zrnc-tH4RNC8Wx0-Mr7a015S-A]]></link>
      <guid isPermaLink="false">330281f8-d463-43f2-b119-83c0876b2bc7</guid>
      <pubDate>Sat, 22 Nov 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[The Murf AI Voice Agents Challenge has commenced, with participants creating end-to-end voice agents leveraging LiveKit and Murf Falcon TTS. This initiative promises to enhance AI voice interaction capabilities, marking a significant step forward for professionals in the streaming video and technology sectors.]]></description>
      <content:encoded><![CDATA[The Murf AI Voice Agents Challenge has commenced, with participants creating end-to-end voice agents leveraging LiveKit and Murf Falcon TTS. This initiative promises to enhance AI voice interaction capabilities, marking a significant step forward for professionals in the streaming video and technology sectors.]]></content:encoded>
      <dc:creator><![CDATA[Bhavesh Nikam]]></dc:creator>
      <author><![CDATA[Bhavesh Nikam]]></author>
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    </item>

    <item>
      <title><![CDATA[We’re Hiring: LiveKit Engineer (Remote | North America or Europe)]]></title>
      <link><![CDATA[https://www.linkedin.com/posts/activity-7391464764524244992-RQrr?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAGBSmVcB5FTy-mWty4UaQyMCxd-F4bgLfgg]]></link>
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      <pubDate>Tue, 04 Nov 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[Daisy Intelligence and OpenVideo are hiring a LiveKit Engineer to enhance their AI-driven streaming infrastructure, crucial for developing intelligent interactions in sectors like commerce and healthcare. This role supports the intersection of AI and real-time media technology.]]></description>
      <content:encoded><![CDATA[Daisy Intelligence and OpenVideo are hiring a LiveKit Engineer to enhance their AI-driven streaming infrastructure, crucial for developing intelligent interactions in sectors like commerce and healthcare. This role supports the intersection of AI and real-time media technology.]]></content:encoded>
      <dc:creator><![CDATA[Vinay Kumar]]></dc:creator>
      <author><![CDATA[Vinay Kumar]]></author>
      
    </item>

    <item>
      <title><![CDATA[Introducing real-time, speaker-aware Voice Agents with LiveKit + Speechmatics]]></title>
      <link><![CDATA[https://www.speechmatics.com/company/articles-and-news/build-ai-agents-that-understand-who-said-what-livekit]]></link>
      <guid isPermaLink="false">e829dd43-600b-41bf-8ebb-e24d29b1e0e3</guid>
      <pubDate>Tue, 02 Sep 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Speechmatics announced new real-time, speaker-aware Voice Agents developed in partnership with LiveKit. The integration aims to enhance the accuracy of AI agents by 25% in real time, supporting natural, inclusive, and reliable speech AI. This collaboration focuses on enabling AI agents to understand speaker identity.]]></description>
      <content:encoded><![CDATA[Speechmatics announced new real-time, speaker-aware Voice Agents developed in partnership with LiveKit. The integration aims to enhance the accuracy of AI agents by 25% in real time, supporting natural, inclusive, and reliable speech AI. This collaboration focuses on enabling AI agents to understand speaker identity.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
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    </item>

    <item>
      <title><![CDATA[Fora Soft Launches Monthly WebRTC & Real-time Video Engineering Report]]></title>
      <link><![CDATA[https://www.forasoft.com/ship-log]]></link>
      <guid isPermaLink="false">bf06de0e-d775-42ac-b47a-e7e0958367a7</guid>
      <pubDate>Fri, 05 Jun 2026 07:11:21 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Fora Soft's engineering team provides a monthly field report with insights from debugging WebRTC, LiveKit, and real-time video in production. This report is based on their extensive experience in shipping telemedicine, e-learning, OTT, and voice-AI systems since 2005.]]></description>
      <content:encoded><![CDATA[Fora Soft's engineering team provides a monthly field report with insights from debugging WebRTC, LiveKit, and real-time video in production. This report is based on their extensive experience in shipping telemedicine, e-learning, OTT, and voice-AI systems since 2005.]]></content:encoded>
      <dc:creator><![CDATA[Forasoft]]></dc:creator>
      <author><![CDATA[Forasoft]]></author>
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    </item>

    <item>
      <title><![CDATA[Fora Soft Debuts LiveKit-Powered WebRTC Demos for Real-Time Video Building]]></title>
      <link><![CDATA[https://www.forasoft.com/lab]]></link>
      <guid isPermaLink="false">e8cf5074-6e9b-47f1-9ede-219c3cec92fe</guid>
      <pubDate>Wed, 03 Jun 2026 05:14:34 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Fora Soft has released four browser-based demos showcasing real-time video capabilities, including 1:1 chat, multi-party conferencing, virtual classrooms, and AI video surveillance. These demos utilize LiveKit and YOLOv8 to illustrate low-latency streaming and AI integration. The company also offers architectural blueprints, production checklists, and PRDs for engineers developing similar infrastructure.]]></description>
      <content:encoded><![CDATA[Fora Soft has released four browser-based demos showcasing real-time video capabilities, including 1:1 chat, multi-party conferencing, virtual classrooms, and AI video surveillance. These demos utilize LiveKit and YOLOv8 to illustrate low-latency streaming and AI integration. The company also offers architectural blueprints, production checklists, and PRDs for engineers developing similar infrastructure.]]></content:encoded>
      <dc:creator><![CDATA[Fora Soft]]></dc:creator>
      <author><![CDATA[Fora Soft]]></author>
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    </item>

    <item>
      <title><![CDATA[LiveKit lists 99 GitHub repositories for WebRTC and AI]]></title>
      <link><![CDATA[https://github.com/orgs/livekit/repositories]]></link>
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      <pubDate>Mon, 01 Jun 2026 06:21:48 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[LiveKit maintains 99 repositories on GitHub, focused on open-source WebRTC and real-time AI infrastructure. This indicates their primary development efforts are in these areas for streaming applications.]]></description>
      <content:encoded><![CDATA[LiveKit maintains 99 repositories on GitHub, focused on open-source WebRTC and real-time AI infrastructure. This indicates their primary development efforts are in these areas for streaming applications.]]></content:encoded>
      <dc:creator><![CDATA[GitHub]]></dc:creator>
      <author><![CDATA[GitHub]]></author>
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