Project AIRI Web AI Realtime Voice Chat Demo
June 22, 2025 ยท View on GitHub
Note
This project is part of (and also associate to) the Project AIRI, we aim to build a LLM-driven VTuber like Neuro-sama (subscribe if you didn't!) if you are interested in, please do give it a try on live demo.
Who are we?
We are a group of currently non-funded talented people made up with computer scientists, experts in multi-modal fields, designers, product managers, and popular open source contributors who loves the goal of where we are heading now.
Demos:
Development
pnpm i
pnpm -F @proj-airi/vad-asr-chat dev
Other examples about AI / Model inference from Project AIRI
- WebAI Examples: WebGPU, and use of AI models inside Web Browsers (you could think of it as a type-safe and UI improved version of ๐ค Transformers.js' example repository)
- ๐ค candle Examples: Examples of using ๐ค candle for inference AI models in Rust, you could think of it as an alternative and more transformers like library than [Burn Examples (this repository)].
- Burn Examples: Examples of using Burn.dev for inference AI models in Rust, you could think of it as an alternative and more advanced library than [๐ค candle Examples].
Other side projects born from Project AIRI
- Awesome AI VTuber: A curated list of AI VTubers and related projects
unspeech: Universal endpoint proxy server for/audio/transcriptionsand/audio/speech, like LiteLLM but for any ASR and TTShfup: tools to help on deploying, bundling to HuggingFace Spacesxsai-transformers: Experimental ๐ค Transformers.js provider for xsAI.- WebAI: Realtime Voice Chat: Full example of implementing ChatGPT's realtime voice from scratch with VAD + STT + LLM + TTS.
@proj-airi/drizzle-duckdb-wasm: Drizzle ORM driver for DuckDB WASM@proj-airi/duckdb-wasm: Easy to use wrapper for@duckdb/duckdb-wasm- Airi Factorio: Allow Airi to play Factorio
- Factorio RCON API: RESTful API wrapper for Factorio headless server console
autorio: Factorio automation librarytstl-plugin-reload-factorio-mod: Reload Factorio mod when developing- Velin: Use Vue SFC and Markdown to write easy to manage stateful prompts for LLM
demodel: Easily boost the speed of pulling your models and datasets from various of inference runtimes.inventory: Centralized model catalog and default provider configurations backend service- MCP Launcher: Easy to use MCP builder & launcher for all possible MCP servers, just like Ollama for models!
- ๐ฅบ SAD: Documentation and notes for self-host and browser running LLMs.