Awesome GitHub RepositoriesGraph Execution Tracing

Ivy is a machine learning framework transpiler and model converter designed to ensure deep learning portability. It serves as a tool for migrating source code and models between different deep learning frameworks while maintaining original functionality. The system enables cross-framework model portability by translating model weights, architectures, and source code. It uses abstract syntax tree based transpilation and computational graph tracing to capture execution flows and rewrite high-level logic into target framework code. The project covers model interoperability through weight-layout

Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers. The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che

This project is a Java-based framework integration that provides an AI agent runtime, a graph-based AI workflow engine, and an LLM orchestration framework for Spring applications. It enables the development of stateful autonomous agents and the implementation of retrieval-augmented generation systems using document processing and vector databases. The framework distinguishes itself through a graph-based workflow runtime for designing complex AI pipelines with conditional routing and persistent state. It supports multi-agent orchestration via service-discovery coordination and provides human-i

Potpie is an LLM codebase analysis platform and multi-agent orchestration framework designed to act as an AI software engineer. It parses repositories into a structured code knowledge graph, enabling AI agents to perform multi-hop reasoning, dependency tracing, and grounded technical analysis across large codebases. The system distinguishes itself through a spec-driven development framework where agents generate detailed technical specifications and architecture plans before implementing multi-file code changes. It utilizes a durable execution engine to coordinate specialized AI personas for

Unit es un sistema de programación visual y entorno de desarrollo integrado basado en grafos, utilizado para construir software funcional conectando máquinas de estado y operaciones primitivas. Sirve como editor de lógica basado en nodos y orquestador de máquinas de estado que transforma especificaciones de programas visuales en archivos JavaScript independientes para su despliegue como sitios web estáticos. El sistema se distingue por un compilador visual que puede renderizar bundles de programas en sitios web activos y realizar inspección de grafos bidireccional, permitiendo que una aplicación renderizada en vivo se convierta de nuevo a su grafo visual original para depuración. Emplea un espacio de trabajo espacial donde las APIs del sistema de bajo nivel se envuelven en máquinas de estado reutilizables para crear una librería consistente de unidades funcionales. La plataforma cubre una amplia gama de capacidades, incluyendo composición de lógica basada en grafos con enrutamiento de datos mediante pines, anidamiento recursivo de subgrafos y creación manual de datos JSON. También proporciona herramientas para la serialización de proyectos, navegación jerárquica entre nodos padres e hijos y una vista previa de renderizado final para ver el resultado de un grafo.