livekit-plugins-anam
Agent Framework plugin for anam
Decision gist · record as of 2026-08-14
Yes, if you are already building with LiveKit Agents and need the specific capabilities anam provides. The plugin is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive Apache-2.0 license. However, verify that anam's functionality aligns with your use case before committing, as its exact role in the agent pipeline is not clearly documented in the available excerpt.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; also requires LiveKit server credentials (LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET) to run agents.
- Low friction installation as a pure Python wheel with a single runtime dependency on livekit-agents.
- Actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,004 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 74,963 downloads/mo, #14,762 on PyPI
Alternatives
Verify before relying
pip install livekit-plugins-anam
from livekit.agents import Agent, AgentSession, AgentServer
from livekit.plugins import anam
server = AgentServer()
@server.rtc_session()
async def entrypoint(ctx):
session = AgentSession()
agent = Agent(instructions="You are a helpful assistant")
await session.start(agent=agent, room=ctx.room)- What specific speech processing or model capabilities does the anam plugin add beyond the base livekit-agents framework.
- Whether anam is a speech-to-text, text-to-speech, language model, or voice activity detection provider.
- Performance characteristics or latency impact of using this plugin in production voice agent deployments.
What it is and what it does
Livekit-plugins-anam is a plugin for the LiveKit Agents framework, a Python library for building real-time, programmable voice agents that run on servers. The base framework lets you create conversational, multi-modal agents that can see, hear, and understand by combining speech-to-text, language models, text-to-speech, and other AI services. This anam plugin extends that framework with additional capabilities, though the exact nature of those capabilities is not detailed in the available documentation.
The framework itself handles job scheduling, WebRTC client integration, telephony support, and data exchange with clients. You install it as a lightweight Python package with minimal dependencies and use it by defining agent classes, setting up an AgentServer, and implementing entrypoint functions that handle incoming sessions. The plugin integrates into this ecosystem as one of the available provider or processing options.
Use it for
- Build a voice agent that answers customer support calls using anam's speech processing alongside other LiveKit providers.
- Create a multi-agent system where agents hand off conversations to each other, using anam for specialized voice handling.
- Deploy a real-time conversational AI that receives phone calls via LiveKit's telephony stack with anam-enhanced audio processing.
- Test and validate voice agent behavior using LiveKit's built-in test framework with anam as part of the agent pipeline.
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 need the specific capabilities anam provides.
The plugin is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive Apache-2.0 license. However, verify that anam's functionality aligns with your use case before committing, as its exact role in the agent pipeline is not clearly documented in the available excerpt.
Install
livekit-plugins-anam on PyPI
Before you install
Low friction installation as a pure Python wheel with a single runtime dependency on livekit-agents. Actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.10 or later; also requires LiveKit server credentials (LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET) to run agents.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install livekit-plugins-anam
from livekit.agents import Agent, AgentSession, AgentServer
from livekit.plugins import anam
server = AgentServer()
@server.rtc_session()
async def entrypoint(ctx):
session = AgentSession()
agent = Agent(instructions="You are a helpful assistant")
await session.start(agent=agent, room=ctx.room)Verify before relying
- What specific speech processing or model capabilities does the anam plugin add beyond the base livekit-agents framework.
- Whether anam is a speech-to-text, text-to-speech, language model, or voice activity detection provider.
- Performance characteristics or latency impact of using this plugin in production voice agent deployments.
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 | 74,963 / month, #14,762 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_anam-1.6.10-py3-none-any.whl
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