agents vs Ultravox

Side-by-side comparison of two AI agent tools

Short answer

  • Ultravox has had no commit in 9 months; agents is actively maintained (528 commits in the last 90 days).
  • agents is growing faster: +1,358 GitHub stars in the last 30 days vs +31 for Ultravox.
  • Pick agents for: a framework for building realtime voice AI agents. Pick Ultravox for: a fast multimodal LLM for real-time voice.

From GitHub data refreshed daily.

agentsopen-source

A framework for building realtime voice AI agents 🤖🎙️📹

Ultravoxopen-source

A fast multimodal LLM for real-time voice

Metrics

agentsUltravox
Stars14.4k4.6k
Star velocity /mo1.4k30.634920634920636
Commits (90d)5280
Releases (6m)100
Overall score0.86053206712639660.2365584347917388

Pros

  • +Comprehensive multi-modal capabilities with flexible integrations for STT, LLM, TTS, and Realtime APIs in a single framework
  • +Built-in telephony integration allows agents to make and receive phone calls through LiveKit's telephony stack
  • +Advanced semantic turn detection using transformer models helps reduce interruptions and improve conversation flow
  • +无需单独 ASR 阶段,音频直接处理,响应速度更快
  • +支持多种开放权重模型(Llama、Mistral、Gemma)训练和扩展
  • +提供完整的实时语音 AI 代理构建平台和演示

Cons

  • -Requires server infrastructure and technical expertise to deploy and maintain realtime voice agents
  • -Complex setup with multiple integration points may have a steep learning curve for newcomers
  • -Real-time voice processing demands significant computational resources and low-latency networking
  • -目前仅输出文本,尚未实现直接语音输出
  • -需要大量计算资源(默认 70B 模型)
  • -作为研究项目,生产环境稳定性可能有限

Use Cases

  • •Customer service automation with voice-enabled agents that can handle phone calls and web-based interactions
  • •Virtual assistants for healthcare or education that need to see, hear, and respond in real-time conversations
  • •Interactive voice response (IVR) systems that integrate with existing telephony infrastructure for business applications
  • •构建实时语音客服或语音助手系统
  • •开发需要快速语音理解的多模态应用
  • •研究和实验下一代语音AI技术

FAQ

Which is more popular, agents or Ultravox?
agents has more GitHub stars (14,447 vs 4,575).
Which is more actively developed, agents or Ultravox?
agents had more commits in the last 90 days (528 vs 0).
Should I use agents or Ultravox?
Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.