LiveKit

Open source framework and cloud platform for building voice, video, and physical AI agents.

[LiveKit @livekit]

We learn to speak before we learn to read.

Voice is the most natural interface we have.

We just raised a $100M to make building voice AI as easy as a web app.

[LiveKit @livekit]

Combine LiveKit's programmable audio pipeline with @inworld's state-of-the-art TTS and natural-language steering for emotionally grounded, turn-based dialogue and instant feedback

[Inworld AI @inworld]

Our @livekit partner story explores how Inworld’s speech models and LiveKit’s realtime infrastructure help developers build voice applications that can scale with their users.

Through Inworld’s integration with the LiveKit Agents framework, developers can use pre-built or custom voices alongside their choice of LLM and speech recognition models, with LiveKit handling realtime communication across web and mobile apps.

The accompanying video takes a closer look at expressive delivery, including how TTS-2’s voice steering helped the team bring Expressive Mode to LiveKit Agents.

“Inworld's TTS-2 marks a real step forward in emotionally expressive voice synthesis. When combined with the conversational intelligence of LiveKit agents, it enables interactions that feel genuinely human, responsive, nuanced, and alive in ways that feel natural.” - David Zhao, CTO, LiveKit

Watch the video or read the full partner story for more on our work together: https://t.co/4MTeupx93h

[LiveKit @livekit]

“In today’s world, ‘low code’ really just means ‘low customization.’”

@_kyleshechtman and @chasef07 started Acuity Health on a low-code platform, hit a wall, and rebuilt on LiveKit. Now 80% of patient calls are fully handled by their agents, and most bookings take under a minute.

Read more: https://t.co/CHTmgZ5oh6

[LiveKit @livekit]

Two small models we trained for voice agents: turn detection knows when the user is actually done talking, adaptive interruption knows “uh huh” isn’t an interruption.

Free for agents on LiveKit Cloud. Starting today, self-hosted agents can run them in production too: a free development allowance, then metered per request. The old monthly cap is gone.

https://t.co/KLmDveDPw1

[LiveKit @livekit]

@Anam_AI ran its new blind benchmark on a LiveKit pipeline, with the same speech recognition, LLM and voice for every provider, so the only thing that changed was the avatar.

If you're building a voice agent with LiveKit Agents, you can give it a face in a few lines of code.

Try it now: https://t.co/tlTCa5QvOD

[Ben Carr @benatanam]

Cara-4.1 Express is now live at @Anam__AI

Faster and more expressive than cara-4 with better lip sync and stronger prompt adherence. It also handles much wider framings for custom avatars.

We ran blind human evals: 85% of raters scored Anam higher than HeyGen, 88% higher than Tavus and 92% higher than LemonSlice. The eval code is public and reproducible.

Try it in the Anam Lab: https://t.co/0TXpYwwjA2

[LiveKit @livekit]

@GradiumAI Congrats team!

[LiveKit @livekit]

Meet SpookyKit, five haunted voices for your voice agent 🎃

Voices from LiveKit coworkers (guess who?), via @FishAudio as a custom voice:
🕯️ the hollow whisperer (v_rcMdmMksGhqr)
📞 the grave caller (v_ou7cbav4LMuq)
🌊 the thing below (v_U9DZ7HDMqqtM)

Voices summoned from the shadows by our spooky friends at @GradiumAI 🧡
💀 the bone barker (hwchrc8s07s20000)
📻 the dead air host (hwchrc8s07s00000)

paste a voice ID into LiveKit Inference or Agent Builder and go give someone a fright 👻

Try them now >
https://t.co/5uSWBmaDXx

[LiveKit @livekit]

Voice agents get built three ways: cascaded (STT, LLM, TTS), turn-based speech-to-speech, and full-duplex, where the model listens and talks at the same time.

All three now run on LiveKit Inference: GPT-Live and GPT Realtime from @OpenAI, @grok Voice Think Fast from @xai, and Gemini Live from @GoogleDeepMind. One LiveKit Cloud key, one bill.

[LiveKit @livekit]

Interested in trying @GoogleDeepMind's Gemini-4 Argon? It's available in LiveKit Inference! Drop it into your voice agent with a single line of code, run a test call, and hear the difference for yourself.

Try it out now:
https://t.co/nxl8TiS1kY

[Moss (YC F25) @usemoss]

80% of Moss customers use @livekit. 👀

LiveKit handles real-time voice. Moss handles the retrieval.

Together, your agent gets the context it needs on every turn, automatically.

No tool call. No extra roundtrip. No dead air.

Sub-10ms retrieval for voice AI.

→ https://t.co/hHh1cevFbF

[LiveKit @livekit]

😁

[Ian Chan @chanian]

@IanLandsman

[LiveKit @livekit]

Next week: AI Agents Speakeasy w/ @modal, #LATechWeek. Cocktails, delicious food, and conversation with the people shipping agents.

Wed Oct 14 · 6-9pm · LA
RSVP: https://t.co/UNvwTCXFmf

[LiveKit @livekit]

Know exactly what your agent can do, catch gaps before customers do, and test any model against your own scenarios before you switch. Your agent has a QA team now.

Try LiveKit Simulations free through October: https://t.co/dx8DzqXb0s

[LiveKit @livekit]

Listen to this support call using @MicrosoftAI's speech models and LiveKit Agents.

• MAI-Transcribe-2-Streaming hears you
• Gemma 4 on LiveKit Inference reasons and calls tools
• MAI-Voice-2.1-Flash answers

What do you think?

STT: https://t.co/nJJvtNOvfU
TTS: https://t.co/XuXrEeUWiM

[LiveKit @livekit]

@AssemblyAI Universal 3.6 Pro is live in LiveKit Inference!

- 45% fewer wrong yes/no confirmations
- ~30% less background speech
- 32 languages + code-switching
- Endpointing that waits out phone numbers & emails

Swap to universal-3-6-pro, same $0.45/hr

Try it now > https://t.co/qpetn16t8O

[LiveKit @livekit]

@MicrosoftAI @MicrosoftAI STT plugin guide here: https://t.co/zvq3rEgM3W

[LiveKit @livekit]

MAI-Transcribe-2-Streaming, MAI-Voice-2.1, and MAI-Voice-2.1-Flash from @MicrosoftAI are now live on LiveKit. Transcribe-2-Streaming debuts at #1 on the Artificial Analysis accuracy leaderboard → Pair it with MAI-Voice-2.1-Flash to build efficient and expressive voice agents.

Try them out: https://t.co/tVagbAMpV4

[LiveKit @livekit]

The best robotics conversations don't happen in a keynote hall. Next week we're getting builders in a room instead.

Robotics Happy Hour w/ @dimensionalos, #SFTechWeek
Tue Oct 6 · 5:30pm · SF
RSVP → https://t.co/5L97pZBmsN

[LiveKit @livekit]

Next week: talks and demos on the hard parts of voice AI, then drinks with the engineers actually building it.

Voice as an Interface meetup w/ @aquavoice + @speechmatics, #SFTechWeek
Wed Oct 7 · 5:30-8:30pm · SF

RSVP: https://t.co/wqkLOgtKZi

[LiveKit @livekit]

Latency. Interruptions. Turn-taking. The hard parts of voice AI, discussed by the people actually solving them.

w/ @aquavoice + @speechmatics, #SFTechWeek
Wed Oct 7 · 5:30-8:30pm · SF

https://t.co/wqkLOgtKZi

[LiveKit @livekit]

Some of the best conversations at Tech Week happen away from the stage, over a drink, no deck required.

AI Agents Speakeasy w/ @modal, #LATechWeek
Wed Oct 14 · 6-9pm · LA

RSVP → https://t.co/UNvwTCXFmf