Which is more popular, agents or Seamless?

agents has more GitHub stars (14,454 vs 11,885).

Which is more actively developed, agents or Seamless?

agents had more commits in the last 90 days (532 vs 2).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

agents is growing faster: +1,352 GitHub stars in the last 30 days vs +17 for Seamless.
Pick agents for: a framework for building realtime voice AI agents. Pick Seamless for: foundational Models for State-of-the-Art Speech and Text Translation.

From GitHub data refreshed daily.

agentsopen-source

A framework for building realtime voice AI agents 🤖🎙️📹

Foundational Models for State-of-the-Art Speech and Text Translation

+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

-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

•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

Which is more popular, agents or Seamless?: agents has more GitHub stars (14,454 vs 11,885).
Which is more actively developed, agents or Seamless?: agents had more commits in the last 90 days (532 vs 2).
Should I use agents or Seamless?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.