Decibri is a universal infrastructure platform for real-time Voice AI and AI agents. From microphone to model to speaker, Decibri brings together audio capture, processing, streaming, orchestration, AI models, plus cross-platform integration into one integrated stack. Built on a high-performance Rust foundation, Decibri supports development across Python, Node.js, Rust and browsers, with compatibility across Windows, macOS and Linux. The platform provides real-time audio capture, playback, multichannel processing, voice activity detection (VAD), acoustic echo cancellation (AEC), audio conditioning, decoding, resampling and audio file processing. Decibri simplifies the development of conversational AI, intelligent assistants, speech-enabled applications, automated audio pipelines, plus agent workflows. Its modular architecture supports integration with local or cloud-based speech recognition, speech synthesis and AI models. The Decibri ecosystem includes developer libraries, command-line tools, Model Context Protocol (MCP) integrations, plus an expanding collection of Voice AI capabilities. Explore Decibri: GitHub: https://github.com/decibri Documentation: https://decibri.com/docs/