Awesome GitHub RepositoriesSession Termination Signaling

Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants. The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations agai

This project is a high-performance implementation of the QUIC transport protocol, providing a library for establishing multiplexed, low-latency network connections over UDP. It serves as a foundational networking stack for building modern web servers and clients, with native support for HTTP/3 and WebTransport standards. The library distinguishes itself through advanced connection management, including the ability to maintain stable sessions across changing network paths or IP addresses using connection identifiers. It optimizes data throughput by employing packet batching to reduce kernel ov

This project is a framework for developing multimodal AI agents that function as programmable participants in real-time communication rooms. It enables the construction of agents that can see, hear, and speak by integrating speech-to-text, large language models, and text-to-speech pipelines to facilitate low-latency, natural conversations. The system is distinguished by its advanced orchestration of real-time media and conversational flow, including support for full-duplex speech, preemptive response generation, and sophisticated interruption management. It further differentiates itself throu

Duix-Mobile is a software development kit for deploying real-time conversational AI characters on mobile devices. It enables the creation of interactive digital humans capable of fluid voice-to-voice interactions, featuring low-latency speech recognition and synchronized lip movements. The project distinguishes itself through the ability to integrate custom external language models and speech providers to define an avatar's intelligence and voice. It supports the generation of real-time multilingual subtitles and provides mechanisms to track the training status of newly created digital charac

This project provides the formal network protocol standards and technical specifications for HTTP/2. It defines the requirements for binary framing structures, the HPACK compression standard for header fields, and the general behaviors necessary to ensure consistent data exchange and interoperability between network clients and servers. The specification covers the mechanisms for binary frame multiplexing and the HPACK standard to reduce network bandwidth and latency. It details the rules for session establishment, including connection preface handshaking and protocol negotiation. The projec

This project provides a translation layer and set of adapters designed to bridge AI agents with the Model Context Protocol. It functions as an integration layer that allows agents to operate as protocol-compliant servers and enables the conversion of protocol-based tools into formats compatible with agent frameworks and logic graphs. The adapters facilitate tool interoperability by wrapping external protocol tools for use within agent workflows and exposing internal agent capabilities to any client implementing the Model Context Protocol. This creates a communication bridge that supports inte