pipecat-examples vs agent-starter-node

Two of the top projects in Voice and realtime, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.

22nd of 16 in Voice and realtime

pipecat-examples

Runnable Pipecat voice agent examples for phone, web and deployment

#44th of 16 in Voice and realtime

agent-starter-node

Node.js voice AI agent starter for LiveKit Agents

Verdict

pipecat-examples ranks higher, 57 to 54. Of the 4 score parts we measure for both, pipecat-examples leads on 2, agent-starter-node on 1 and 1 is even.

  • Adoptionpipecat-examples leads by 12 points, 29 to 17.
  • FreshnessEven at 100.
  • Maintenancepipecat-examples leads by 20 points, 60 to 40: a wide gap.
  • Agent-readyagent-starter-node leads by 70 points, 70 to 0: a wide gap.

Pick pipecat-examples if you are

Pipecat developers needing telephony or client patterns

  • Telephony examples for Twilio, Telnyx, Plivo, Exotel and Daily SIP
  • simple-chatbot ships React, Swift, Kotlin and React Native clients

Pick agent-starter-node if you are

Node.js developers building voice agents on LiveKit

  • Models via LiveKit Inference need no separate provider API keys, including realtime models
  • Turn detector covers 14 languages; adaptive interruption handling and noise cancellation included
pipecat-examples vs agent-starter-node: score parts and facts
What we comparepipecat-examplesagent-starter-node
Score parts, out of 100
Adoption29, niche17, niche
Freshness100, active100, active
Maintenance60, fair40, patchy
Agent-ready0, none70, partly
Facts from GitHub and the README
Stars403115
LicenseBSD-2-Clause (permissive)MIT (permissive)
Last commitOct 2026Oct 2026
Last releaseNone publishedNone published
LanguagePythonTypeScript
DockerYesYes
GPUNot neededNot needed
arm64 or Apple SiliconNot statedNot stated

pipecat-examples

Pipecat apps in Python 3.11+, one directory each: phone bots for Twilio, Telnyx, Plivo, Exotel and Daily SIP, a simple-chatbot with React, Swift, Kotlin and React Native clients, websocket and p2p WebRTC transports, Gemini Live, local smart-turn, OpenTelemetry tracing and deploy recipes for Pipecat Cloud, Fly.io, Modal and Cerebrium. For teams on Pipecat who want a working pattern to copy.

Who it is for: Pipecat developers needing telephony or client patterns

Strengths

  • Telephony examples for Twilio, Telnyx, Plivo, Exotel and Daily SIP
  • simple-chatbot ships React, Swift, Kotlin and React Native clients
  • Deployment and OpenTelemetry (Langfuse, LangSmith, Jaeger) examples

Weaknesses

  • Each example has its own setup; no single app to fork
  • Needs API keys for STT, LLM and TTS services (OpenAI, Deepgram, Cartesia)
  • Beginner examples live in the main Pipecat repo, not here
  • Issues are tracked in the main Pipecat repo
  • Python, Pipecat service plugins (OpenAI, Deepgram, Cartesia, Gemini Live)
  • Needs OpenAI, Deepgram, Cartesia or similar API keys, Daily or a telephony provider for phone examples
  • Docker

agent-starter-node

TypeScript starter for a voice AI assistant built on LiveKit Agents for Node.js. It wires up a speech pipeline through LiveKit Inference (default LLM Gemma 4 31B, default TTS Fish Audio S2.1 Pro), with turn detection, interruption handling and noise cancellation. It also includes simulation tests that run in CI and a Dockerfile for LiveKit Cloud deployment.

Who it is for: Node.js developers building voice agents on LiveKit

Strengths

  • Models via LiveKit Inference need no separate provider API keys, including realtime models
  • Turn detector covers 14 languages; adaptive interruption handling and noise cancellation included
  • Simulation scenarios in scenarios.yaml run in GitHub Actions on every merge to main
  • Ships AGENTS.md, a CLI debugger and a Dockerfile; pairs with React, Swift, Flutter, Android starters

Weaknesses

  • Defaults assume a LiveKit Cloud account; self-hosting means swapping in model plugins
  • Noise cancellation plugin is LiveKit Cloud only and must be removed when self-hosting
  • Simulations use real inference on LiveKit Cloud, so CI runs cost money
  • No frontend included; web or mobile client lives in a separate repo
  • TypeScript, Gemma 4 31B, Fish Audio S2.1 Pro, OpenAI, Cartesia
  • Needs LiveKit Cloud, LiveKit CLI 2.18.8+, pnpm
  • GitHub template
  • Docker
  • env example file

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