livekit-plugins-rime
LiveKit Agents Plugin for Rime
Decision gist · record as of 2026-08-14
Yes—if you are already building with LiveKit Agents and want to use Rime for speech recognition. The plugin has low install friction, permissive licensing, no known vulnerabilities, and sits on an actively maintained framework with strong community adoption. Install it only if Rime is your preferred STT provider or you are evaluating it; if you are starting fresh, compare Rime's capabilities and cost against other STT options in the LiveKit ecosystem first.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires livekit-agents as a runtime dependency and a LiveKit server connection (LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET environment variables).
- Low friction install with a single runtime dependency on livekit-agents.
- Package released 1 day ago and actively maintained with 13003 repository stars, indicating a mature underlying framework.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions—suitable for most production deployments.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,003 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 177,862 downloads/mo, #10,204 on PyPI
Alternatives
Verify before relying
pip install livekit-plugins-rime
from livekit.agents import Agent, AgentSession
from livekit.plugins import rime
session = AgentSession(
stt=rime.STT(), # Rime speech-to-text provider
)
await session.start(agent=agent, room=ctx.room)- Specific Rime model variants or configuration options supported by this plugin version.
- Whether Rime STT supports language variants beyond what the base framework documents.
- Performance characteristics (latency, accuracy) compared to other STT providers in the LiveKit ecosystem.
What it is and what it does
This package is a plugin that adds Rime speech-to-text (STT) capability to LiveKit Agents, the framework for building real-time voice agents that run on servers. LiveKit Agents lets you compose conversational AI by mixing STT, LLM, and TTS providers; this plugin supplies Rime as the speech recognition layer. You install it alongside livekit-agents and use it to instantiate a Rime STT provider in your agent session, allowing your voice agent to understand spoken input from users in real-time conversations.
The plugin is part of LiveKit's broader ecosystem for building multi-modal agents that can see, hear, and respond. It integrates with the framework's job scheduling, WebRTC clients, and agent handoff patterns. Since it released recently (January 2025) and is actively maintained, it represents a current integration point for Rime speech recognition within the LiveKit platform.
Use it for
- Build a voice agent that uses Rime for speech recognition instead of Deepgram or other STT providers.
- Replace or supplement an existing STT provider in a multi-turn conversational agent without rewriting core logic.
- Deploy a real-time voice assistant on LiveKit infrastructure with Rime as the hearing layer.
- Test or evaluate Rime's speech recognition quality within a production-ready agent framework.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes—if you are already building with LiveKit Agents and want to use Rime for speech recognition.
The plugin has low install friction, permissive licensing, no known vulnerabilities, and sits on an actively maintained framework with strong community adoption. Install it only if Rime is your preferred STT provider or you are evaluating it; if you are starting fresh, compare Rime's capabilities and cost against other STT options in the LiveKit ecosystem first.
Install
livekit-plugins-rime on PyPI
Before you install
Low friction install with a single runtime dependency on livekit-agents. Package released 1 day ago and actively maintained with 13003 repository stars, indicating a mature underlying framework.
Requires livekit-agents as a runtime dependency and a LiveKit server connection (LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET environment variables).
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions—suitable for most production deployments.
Quickstart
pip install livekit-plugins-rime
from livekit.agents import Agent, AgentSession
from livekit.plugins import rime
session = AgentSession(
stt=rime.STT(), # Rime speech-to-text provider
)
await session.start(agent=agent, room=ctx.room)Verify before relying
- Specific Rime model variants or configuration options supported by this plugin version.
- Whether Rime STT supports language variants beyond what the base framework documents.
- Performance characteristics (latency, accuracy) compared to other STT providers in the LiveKit ecosystem.
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 | 1 packagelivekit-agents |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 177,862 / month, #10,204 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Topic :: Multimedia :: Sound/AudioTopic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: livekit_plugins_rime-1.6.10-py3-none-any.whl
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