MultixAI is a unified, next-generation transport protocol for multiplexed AI, audio, and video streaming—optimized for real-time applications, AI-driven inference, and seamless interoperability with modern web technologies like WebRTC and WebTransport. Secure, extensible, and adapter-ready.
- Unified Real-Time Streaming: Efficient handling of AI inference, text, audio, and video over a single multiplexed connection.
- AI-First Features: Native support for streaming tokens, batch inference, and model metadata.
- Media Ready: Low-latency audio/video, adaptive bitrate, and live feedback.
- Flexible Communication: Supports request/response, bidirectional, and streaming models.
- Interoperability: Adapter services for WebRTC, WebTransport, and legacy protocols.
- Security by Design: Encrypted and authenticated at the protocol core.
- Extensibility: Modern, future-proof headers for easy codec and model upgrades.
- Multiplexed channels for AI, audio, video, and control data over one secure connection.
- Efficient packet/header format to minimize overhead and maximize flexibility.
- Adapter architecture for connecting WebRTC/WebTransport to advanced AI features.
- Designed for browsers, mobile, and backend services.
[WebRTC/WebTransport Client] <--> [Adapter Service] <--> [MultixAI Protocol & AI Services] | [AI Inference, Transcription, Moderation, etc.]
This repository contains multi-language components. To build and test, install the following toolchains:
- C++17 compiler (e.g.,
g++) andmake - Go 1.21+
- Python 3.10+ with
pytest
To run all language test suites:
make test
make test-cpp
make test-go
make test-python
Instructions:
- Copy the above markdown and save it as
README.mdin yourcanvasfolder (or any project root). - This file contains a unified project intro, goals, architecture, toolchain setup, and testing instructions.
Let me know if you need any customizations or additional sections!