A real-time interactive Omni Avatar framework built on LiveKit, AlphaAvatar enables developers to integrate customizable avatar components like real-time models, voice, memory, and search. It targets users seeking a learnable, configurable, and pluggable assistant solution, offering extensibility through its modular architecture.

How It Works

The project centers around a pluggable "Omni Avatar" concept, allowing seamless integration of various open-source components. It utilizes LiveKit for real-time communication infrastructure and supports modules for memory, persona management, reflection, behavior control, and virtual character rendering. This modular design aims for learnability and configurability, facilitating the creation of sophisticated AI assistants.

Quick Start & Requirements

Installation involves either pip install alpha-avatar-agents for the stable version or cloning the repository and using uv for the latest development version. A quick start requires setting several environment variables, including API keys for LiveKit, OpenAI, and Qdrant, followed by commands like alphaavatar download-files and alphaavatar dev examples/pipline_openai_dev.yaml. Further details on supported modes are available in LiveKit's agent documentation.

Highlighted Details

• Features pluggable modules for Memory, Persona, Reflection, Behavior Controls, and Virtual Character.
• Announced release of version 0.1.0 supporting automatic memory and user persona extraction (dated 2025/11).
• Built upon LiveKit for real-time, interactive avatar capabilities.

Maintenance & Community

The repository welcomes Pull Requests. Specific links to community channels (Discord, Slack), detailed roadmaps, or active sponsorship information are not explicitly detailed in the provided README snippet.

Licensing & Compatibility

A license is indicated via a GitHub link, but the specific license type and its compatibility for commercial use or closed-source linking are not detailed in the provided text.

Limitations & Caveats

As indicated by the version number (0.1.0), the project appears to be in an early stage of development. The setup process requires multiple external API keys and specific environment configurations, suggesting a non-trivial initial deployment.