Honest pros, cons, and verdict on this voice agents tool
✅ Fully open source under Apache 2.0 license with active community
Starting Price
Free
Free Tier
Yes
Category
Voice Agents
Skill Level
Developer
Real-time media infrastructure platform with an integrated agent framework for building voice and video AI assistants that can participate in live conversations. Enables developers to create AI agents that can see, hear, and speak in real-time video calls, with support for spatial audio, screen sharing, and multi-participant interactions.
LiveKit Agents is an open-source framework for building real-time, multimodal AI agents that can see, hear, and speak. Built on top of LiveKit's WebRTC infrastructure, it provides the transport layer and developer framework needed to create voice agents, video AI assistants, and other real-time AI applications that interact with users through audio and video streams rather than just text.
The framework's architecture centers on a worker process model where agent code runs as "workers" that connect to LiveKit rooms. When a user joins a room, the agent worker is dispatched to participate alongside them, receiving audio/video tracks and sending responses back in real-time. This design handles the complex WebRTC plumbing — media encoding/decoding, network adaptation, echo cancellation — so developers can focus on the AI logic.
per month
per month
CrewAI is an open-source Python framework for orchestrating autonomous AI agents that collaborate as a team to accomplish complex tasks. You define agents with specific roles, goals, and tools, then organize them into crews with defined workflows. Agents can delegate work to each other, share context, and execute multi-step processes like market research, content creation, or data analysis. CrewAI supports sequential and parallel task execution, integrates with popular LLMs, and provides memory systems for agent learning. It's one of the most popular multi-agent frameworks with a large community and extensive documentation.
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Learn more →Open-source multi-agent framework from Microsoft Research with asynchronous architecture, AutoGen Studio GUI, and OpenTelemetry observability. Now part of the unified Microsoft Agent Framework alongside Semantic Kernel.
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Learn more →LiveKit Agents delivers on its promises as a voice agents tool. While it has some limitations, the benefits outweigh the drawbacks for most users in its target market.
Real-time media infrastructure platform with an integrated agent framework for building voice and video AI assistants that can participate in live conversations. Enables developers to create AI agents that can see, hear, and speak in real-time video calls, with support for spatial audio, screen sharing, and multi-participant interactions.
Yes, LiveKit Agents is good for voice agents work. Users particularly appreciate fully open source under apache 2.0 license with active community. However, keep in mind primarily focused on real-time applications (not suitable for batch processing).
Yes, LiveKit Agents offers a free tier. However, premium features unlock additional functionality for professional users.
LiveKit Agents is best for Building voice assistants that need real-time conversation capabilities and Telehealth applications requiring AI-assisted consultations. It's particularly useful for voice agents professionals who need workflow runtime.
Popular LiveKit Agents alternatives include CrewAI, AutoGen, LangGraph. Each has different strengths, so compare features and pricing to find the best fit.
Last verified March 2026