AlphaAvatar/AlphaAvatar: A real-time interactive Omni Avatar built on LiveKit, which allows you to seamlessly integrate with any open source Avatar components (real-time model, visual, voice, memory, search, etc.). · GitHub

Learnable, configurable, and pluggable Omni Personal Assistant for everyone

AlphaAvatar is a self-hostable Omni Personal Assistant framework designed to evolve into an intelligent personal butler — a continuous, personalized, and proactive assistant that can remember, understand, plan, and act on behalf of the user.

It is built around a plugin-based real-time Agent architecture, combining:

• 🧠 Memory for long-term user, assistant, and tool interaction history
• 🧬 Persona for user understanding, identity continuity, and personalization
• 💡 Reflection for self-improvement and long-term behavioral adaptation
• 📅 Planning for task decomposition, reminders, and future-oriented actions
• ⚙️ Behavior for response style, workflow policy, and proactive assistance
• 🧰 Tools through MCP, RAG, DeepResearch, and external integrations
• 😊 Virtual Character for real-time voice/avatar interaction

✨ Fully self-hostable and privacy-first — AlphaAvatar can run locally or on your own infrastructure, giving you control over your data, memory, tools, and behavior.

AlphaAvatar follows a layered realtime multimodal architecture:

• 🎙️ User & Channels: voice, text, camera, screen, files, and messaging platforms.
• 🔌 RTC Adapter: connects LiveKit and other realtime communication backends.
• 👁️ Core Perception: normalizes multimodal observations, streams, timelines, and windows.
• ⚙️ Agent & Runtime: manages sessions, context, interaction routing, shared inference access, and runtime lifecycle.
• 🧩 Plugin Ecosystem: adds Memory, Persona, RAG, MCP, Character, and other capabilities.
• 🧠 Provider & Infrastructure: connects models, embeddings, routing, tracing, and structured output.
• 💾 Storage & Data: stores identity, memory, vectors, traces, artifacts, and media.
• 📤 Assistant Outputs: delivers voice, text, avatar responses, tool actions, and status updates.

💡 AlphaAvatar is not just a chatbot. It is a foundation for building stateful, proactive, multimodal, and self-evolving personal AI assistants.

• [2026/08] Released AlphaAvatar version 0.6.6: Added a unified time-aligned multimodal runtime, adaptive audiovisual ENV Memory, provider-neutral model input, runtime capability awareness, time-based perception retention, participant-scoped timezone context, and date-grouped session storage.

• [2026/07] Released AlphaAvatar version 0.6.4: Added a transport-agnostic perception runtime with typed multimodal streams, shared timelines, annotated payload views, and online ENV memory extraction from live visual observations.

  • Released AlphaAvatar version 0.6.5: Added shared realtime audio perception, the Interaction Router, AlphaAvatar-native VAD and STT, isolated per-runner inference processes, and migrated all AlphaAvatar VDB workloads away from LiveKit’s shared inference executor.

• [2026/06] Released AlphaAvatar version 0.6.0: Added the Status plugin, sampled visual input support, and status-aware DeepResearch / RAG / MCP tool feedback.

  • Released AlphaAvatar version 0.6.1: Added visual identity support for Persona, including face detection, face vector matching, speaker-face identity fusion, and several bug fixes.
  • Released AlphaAvatar version 0.6.2: introduced the unified provider layer, nested configuration, provider tracing, and a cleaner session/runtime foundation for future multi-user multimodal memory.
  • Released AlphaAvatar version 0.6.3: Added the first graph-aware Memory foundation, including multi-object memory items, session-scoped graph node mentions, LanceDB graph-node retrieval, alias-ready graph lookup, and cleaner session-content memory extraction prompts.

• [2026/05] Released AlphaAvatar version 0.5.4:

  • Added LanceDB-backed MCP tool retrieval, enabling AlphaAvatar to semantically search relevant MCP tools from Agent queries.
  • Refactored system prompt and runtime prompt composition, improved Persona runtime state tracking, added temporary-user to real-user identity merging, and improved RAG runtime behavior.
  • Released AlphaAvatar version 0.5.5: Fixed the inference runner registration lifecycle for production start mode, ensuring plugins runners are registered after config parsing and before LiveKit creates the inference executor.

• [2026/04] Released AlphaAvatar version 0.5.3:

  • Added localized Markdown backup for the Memory plugin.
  • Added LanceDB as the default local VDB option when Qdrant credentials are not provided.

• [2026/03] Released AlphaAvatar version 0.5.0:

  • Added the MCP plugin, enabling retrieval and concurrent invocation of MCP tools.
  • Released AlphaAvatar version 0.5.1: Added WhatsApp channel support via Baileys.
  • Released AlphaAvatar version 0.5.2: Added the AlphaAvatar Voice plugin with Voice.ai TTS support.

• [2026/02] Released AlphaAvatar version 0.4.0:

  • Added RAG support through RAG-Anything.
  • Optimized the Memory and DeepResearch modules.
  • Released AlphaAvatar version 0.4.1: Fixed Persona plugin bugs and added a new MCP plugin.

• [2026/01] Released AlphaAvatar version 0.3.0:

  • Added DeepResearch support through the Tavily API.
  • Released AlphaAvatar version 0.3.1: Added tool-call memory extraction during user–assistant interactions.

• [2025/12] Released AlphaAvatar version 0.2.0:

  • Added AIRI Live2D-based virtual character display.

• [2025/11] Released AlphaAvatar version 0.1.0:

  • Added automatic memory extraction.
  • Added automatic user persona extraction and matching.

Install stable AlphaAvatar version from PyPI:

uv venv .my-env --python 3.11
source .my-env/bin/activate
pip install alpha-avatar-agents

Install latest AlphaAvatar version from GitHub:

git clone --recurse-submodules https://github.com/AlphaAvatar/AlphaAvatar.git
cd AlphaAvatar

uv venv .venv --python 3.11
source .venv/bin/activate
uv sync --all-packages

Start your agent in dev mode to connect it to LiveKit and make it available from anywhere on the internet.

🧩 Step 1. Configure Environment Variables

cd AlphaAvatar

# Copy template
cp .env.template .env.dev

Edit .env.dev and set required environment variables.

📦 Step 2. Download Required Files

alphaavatar download-files

✅ Step 3. Run the Agent

ENV_FILE=.env.dev alphaavatar dev examples/agent_configs/voice/pipeline_openai_tools.yaml
# or
ENV_FILE=.env.dev alphaavatar dev examples/agent_configs/mm/pipeline_openai_tools.yaml

To see more supported modes, please refer to the LiveKit doc.

To see more examples, please refer to the Examples README

AlphaAvatar supports multiple Access Channels, allowing different types of users — from end users to developers — to interact with the system.

AlphaAvatar now provides a browser-based realtime demo interface built on LiveKit.

👉 Try the Web Demo: https://www.alphaavatar.ai/demo

The Web Demo supports:

• 🎙️ Real-time voice interaction
• 💬 Text chat with the Avatar
• 📷 Camera preview and video-ready interaction
• 🔊 Agent audio playback
• 😊 Virtual character / avatar stage
• 🧠 Full plugin support, including Memory, Persona, RAG, MCP, and DeepResearch
• 🌍 Browser timezone metadata, enabling AlphaAvatar to understand local login time

The Web Demo is the recommended way to try AlphaAvatar with a full realtime multimodal experience.

Interact with AlphaAvatar directly inside messaging platforms.

Capabilities:

• 💬 Text-based conversation
• 🎤 Voice message interaction
• 🧰 Tool invocation via chat interface

📦 Channel introduction: README

▶️ Start WhatsApp Channel

Make sure AlphaAvatar Agent is already running (see Quick Start above).

ENV_FILE=.env.dev sh examples/channels/start_whatsapp.sh

💡 The WhatsApp channel runs as an independent bridge process and connects to the Agent runtime.

A dedicated AlphaAvatar mobile application providing:

• 🎙️ Real-time voice communication
• 😊 Live2D / Virtual character visualization
• 🧠 Persistent memory & persona

Developers can immediately access AlphaAvatar via the LiveKit Playground.

👉 https://agents-playground.livekit.io/

After starting your AlphaAvatar server:

1. Connect to your LiveKit instance
2. Configure the Agent name in the Playground (must match avatar_name, default: Assistant) to enable Explicit Dispatch.
3. Connect to the agent room
4. Start testing real-time interaction

Supported capabilities:

• 🎙️ Voice interaction
• 🧠 Memory extraction
• 🔍 RAG retrieval
• 🧰 MCP tool invocation
• 😊 Virtual character display

💡 AlphaAvatar is currently developer-first, with a Web Demo available for realtime interaction.

More user-facing web and mobile experiences are under active development.