livekit-plugins-silero
Agent Framework Plugin for Silero
Decision gist · record as of 2026-08-14
Yes. This is a focused, actively maintained plugin for a specific use case within the LiveKit Agents framework. If you are already building voice agents with LiveKit and need voice activity detection, it offers low friction installation and integrates seamlessly. If you are not using LiveKit Agents, it has no standalone value.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; depends on livekit-agents, numpy, and onnxruntime.
- Low friction install with a pure-Python wheel.
- Actively maintained as part of the LiveKit Agents ecosystem, with a recent release and 13002 repository stars indicating stable backing.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions, typical for open-source AI infrastructure.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,002 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,594,523 downloads/mo, #2,568 on PyPI
Alternatives
Verify before relying
pip install livekit-plugins-silero
from livekit.agents import Agent, AgentSession
session = AgentSession(
vad=inference.VAD(),
stt=inference.STT("deepgram/nova-3"),
llm=inference.LLM("google/gemma-4-31b-it"),
tts=inference.TTS("cartesia/sonic-3"),
)- Whether Silero VAD model is bundled or downloaded on first use, and any bandwidth/storage implications.
- Latency characteristics and accuracy metrics compared to other VAD implementations.
- Whether the plugin supports custom model weights or configuration tuning beyond defaults.
What it is and what it does
This package is a plugin that adds Silero voice activity detection to the LiveKit Agents framework. It enables real-time voice agents running on servers to detect when a user is speaking or has finished their turn, reducing false interruptions in conversational AI applications.
The plugin integrates with the broader LiveKit Agents ecosystem, which is designed for building multi-modal, programmable voice agents that can see, hear, and understand. It works alongside other components like speech-to-text, language models, and text-to-speech providers. The package depends on livekit-agents, numpy, and onnxruntime, making it a lightweight addition to an existing agent deployment.
Use it for
- Detect user speech turns in real-time voice agents to minimize interruptions during conversations.
- Enable turn detection in multi-turn dialogue systems where agents need to know when to listen vs. respond.
- Integrate as a voice activity detection component within LiveKit agent deployments.
- Build telephony-integrated voice agents that handle incoming or outgoing calls with speech detection.
- Reduce latency in voice agent responses by using efficient on-device VAD.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a focused, actively maintained plugin for a specific use case within the LiveKit Agents framework. If you are already building voice agents with LiveKit and need voice activity detection, it offers low friction installation and integrates seamlessly. If you are not using LiveKit Agents, it has no standalone value.
Install
livekit-plugins-silero on PyPI
Before you install
Low friction install with a pure-Python wheel. Actively maintained as part of the LiveKit Agents ecosystem, with a recent release and 13002 repository stars indicating stable backing.
Requires Python 3.10 or later; depends on livekit-agents, numpy, and onnxruntime.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions, typical for open-source AI infrastructure.
Quickstart
pip install livekit-plugins-silero
from livekit.agents import Agent, AgentSession
session = AgentSession(
vad=inference.VAD(),
stt=inference.STT("deepgram/nova-3"),
llm=inference.LLM("google/gemma-4-31b-it"),
tts=inference.TTS("cartesia/sonic-3"),
)Verify before relying
- Whether Silero VAD model is bundled or downloaded on first use, and any bandwidth/storage implications.
- Latency characteristics and accuracy metrics compared to other VAD implementations.
- Whether the plugin supports custom model weights or configuration tuning beyond defaults.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageslivekit-agentsnumpyonnxruntime |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,594,523 / month, #2,568 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Topic :: Multimedia :: Sound/AudioTopic :: Multimedia :: VideoTopic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: livekit_plugins_silero-1.6.10-py3-none-any.whl
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See also livekit-plugins-rime · livekit-plugins-assemblyai · livekit-plugins-turn-detector · livekit-blingfire · livekit-plugins-telnyx · livekit-plugins-elevenlabs · livekit-agents · livekit-plugins-xai · livekit-plugins-anam · livekit-plugins-noise-cancellation