LiveKit Agents开源框架，实时语音、视频 AI 代理

4.5 (6)

审阅者 Daniel Nikulshyn·更新 2026年5月

Open Source Developer Tools Voice AI Real-Time WebRTC Multimodal Framework SDK

概览

LiveKit Agents 是一个开发者框架，用于创建能够通过语音、视觉和文本实时与用户交互的 AI 应用程序。它基于 LiveKit 的 WebRTC 基础设施，处理实现自然对话体验所需的低延迟媒体连接，帮助开发者把精力放在代理逻辑上，而非流媒体管道。该框架支持与主要的语音转文字、文字转语音以及大型语言模型提供商的集成，并能够协调轮流发声、打断以及工具使用。典型应用场景包括语音助手、AI 电话代理、实时辅导、客户支持机器人以及能够通过音频和视频感知环境的交互式化身。

主要功能

实时语音视频和文本代理协调
基于 WebRTC 的流媒体基础设施
可插拔型 STT、LLM 和 TTS 供应商
内置中断和交替检测功能
对工具和函数调用的支持
Python 和 Node.js 的 SDK

价格

模型: Freemium
分类: Speech Recognition
评分: 4.5 / 5 (6)

使用场景

构建实时语音助手

创建可以处理自然交替和中断的具备语音助手的具备交互性，使用 WebRTC 管道和可插拔 STT、LLM 和 TTS 供应商。

用于客户支持的 AI 电话代理

部署能够回答电话、解决客户问题，并通过工具和函数调用的操作进行支持的 AI 电话代理。

交互式直播辅导员

构建能够听、说和见的实时辅导代理，允许通过语音和视频实时进行后退和前进的指示。

互动 AI 机器人

为提供实时回答和交互的沉浸式会话体验而运行视觉机器人，它们能够通过语音和视觉感知其环境。

优点 & 缺点

优点

开源，具有宽容许可
低延迟实时音频和视频管道
可灵活集成主流 LLM、STT 和 TTS 供应商
内置中断和交替功能
无需额外许可即可开源

缺点

需要专业开发人员才能进行部署和定制
自主托管基础设施增加了运营复杂性
文档可能会落后于快速特性更新

评测

4.5

6 个评分的平均值。

登录以留下评测。

Elena Rossi

Apr 6, 2026

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.

Esther Adeyemi

Dec 30, 2025

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.

Kwame Mensah

Dec 1, 2025

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.

Sofia Lindqvist

Oct 31, 2025

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.

Hannah Goldberg

Oct 15, 2025

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.

Daniel Schmidt

Jun 23, 2025

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.