Build and deploy real-time voice and video AI agents with LLM, STT, and TTS pipelines.
npx skills add https://github.com/rex009x/mush-talk --skill agent-rex009x
Please help me install this Agent Skill. Skill: Agent Source: https://github.com/rex009x/mush-talk/tree/main/.agents/skills/agent Command: npx skills add https://github.com/rex009x/mush-talk --skill agent-rex009x
This Skill solves the complexity of building real-time, low-latency conversational AI by providing a unified framework for managing audio/video streams, LLM pipelines, and call lifecycles.
Use the Agent skill to initialize a new project and start the local development server for your voice agent.
High-intent search queries and answers about installing and using this skill.
To build real-time voice and video AI agents, you orchestrate LLM, STT, and TTS pipelines using a unified framework that manages audio/video streams and call lifecycles. This requires configuring agent lifecycle methods, transport layers, and provider plugins for low-latency interaction.
Call lifecycle management for conversational AI automatically handles call routing, turn-taking, and session management for voice and video calls. This ensures seamless interaction by managing the state and flow of real-time audio streams alongside LLM processing.
The best way to scale real-time voice agents for production is using HTTP server modes, Docker, and Kubernetes. This deployment approach includes built-in telemetry and monitoring to ensure low-latency interaction and horizontal scaling across instances.
Yes, you need vision-agents and uv configured in your environment to develop real-time conversational interfaces. These dependencies support the framework's ability to manage video streams and handle project environment setup for the AI pipelines.
Yes, you can integrate telephony systems with LLM pipelines for AI agents. The framework supports telephony integration alongside STT and TTS providers, allowing you to route external calls directly into your conversational AI workflows.
FutureAtomsSet up the LiveKit Agents framework for Python or Node.js.
emSoumikBuild real-time voice and video AI agents with LLMs, STT/TTS, and MCP-style tools.
coco-researchDesign low-latency voice agent architectures with streaming audio and turn detection.
mikeyobrienAutomate audio playback, voice recording, and camera capture on Android via Termux.
