
LiveKit AgentsOpen-source framework for building real-time, multimodal voice and video AI agents.
Overview
Key features
- Real-time voice, video, and text agent orchestration
- WebRTC-based streaming infrastructure
- Pluggable model providers for STT, LLM, and TTS
- Built-in interruption and turn detection
- Tool and function calling support
- SDKs for Python and Node.js
Pricing
- Model
- Freemium
- Category
- Speech Recognition
- Rating
- 4.5 / 5 (6)
Use cases
Build Real-Time Voice Assistants
Create conversational voice assistants that handle natural turn-taking and interruptions, using pluggable STT, LLM, and TTS providers over a low-latency WebRTC pipeline.
AI Phone Agents for Customer Support
Deploy AI-powered phone agents that answer calls, resolve customer queries, and trigger backend actions through tool and function calling.
Interactive Live Tutors
Build multimodal tutoring agents that listen, speak, and see, enabling real-time back-and-forth instruction with students through voice and video.
Interactive AI Avatars
Power video-based avatars that perceive their environment via audio and vision, responding in real time for immersive conversational experiences.
Pros & Cons
Pros
- Open source with permissive licensing
- Low-latency real-time audio and video pipeline
- Flexible integrations with major LLM, STT, and TTS providers
- Handles interruptions and turn-taking out of the box
Cons
- Requires developer expertise to deploy and customize
- Self-hosting infrastructure adds operational overhead
- Documentation can lag behind rapid feature updates
Reviews
Average from 6 ratings.
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Solid for our team
We rolled this out across the team last quarter and low-latency real-time audio and video pipeline. SDKs for Python and Node.js fits neatly into how we already work, and built-in interruption and turn detection removed a step we used to do by hand. but it has held up under daily use.
Does the job
Pretty happy overall. Tool and function calling support just works and flexible integrations with major LLM, STT, and TTS providers. Documentation can lag behind rapid feature updates can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Does the job
Pretty happy overall. SDKs for Python and Node.js just works and handles interruptions and turn-taking out of the box. but no dealbreakers — I'd recommend it to a friend without hesitating.
Does the job
Pretty happy overall. Pluggable model providers for STT, LLM, and TTS just works and open source with permissive licensing. Self-hosting infrastructure adds operational overhead can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Solid for our team
We rolled this out across the team last quarter and low-latency real-time audio and video pipeline. Tool and function calling support fits neatly into how we already work, and pluggable model providers for STT, LLM, and TTS removed a step we used to do by hand. but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on sDKs for Python and Node.js, and handles interruptions and turn-taking out of the box caught me off guard. Requires developer expertise to deploy and customize is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Q&A
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