Awesome GitHub RepositoriesExecution Parameter Configurators

Luigi is a Python framework designed for building and managing complex batch data pipelines. It functions as a workflow orchestration engine that organizes tasks into directed acyclic graphs, ensuring that jobs execute in the correct logical order based on their dependencies. By utilizing a centralized scheduler, the system coordinates task execution across distributed environments, tracks global workflow state, and prevents redundant processing by verifying the existence of output targets before triggering any work. The project distinguishes itself through a robust state-tracking mechanism t

Ragas is an evaluation framework designed to measure the performance of retrieval-augmented generation pipelines and autonomous agent workflows. It provides a comprehensive suite of tools for benchmarking system outputs, utilizing language models as automated judges to score performance against defined rubrics and reference data. By standardizing inputs, retrieved contexts, and generated responses into a unified schema, the project enables consistent analysis across complex AI applications. The framework distinguishes itself through its ability to generate synthetic test datasets from existin

zvec is an embedded vector database engine and indexing library designed for high-dimensional similarity search. It functions as a hybrid search engine and a retrieval-augmented generation knowledge base, allowing for the storage and retrieval of dense and sparse vectors. The system is distinguished by its hybrid retrieval pipeline, which fuses vector similarity, full-text keyword matching, and scalar metadata filtering into single query operations. It supports a plugin-based model integration system for registering custom embedding models and rerankers, as well as language bindings for nativ

Empire is a post-exploitation command-and-control (C2) framework designed for red team operations. It deploys and manages agents written in PowerShell, Python, C#, Go, and C across Windows, Linux, and macOS, using encrypted communication channels over HTTP, HTTPS, and SMB. The framework executes over 400 built-in modules for reconnaissance, privilege escalation, credential theft, and lateral movement, and provides a modular engine for authoring custom attack modules. What sets Empire apart is its multi-language agent deployment system, which allows operators to choose implants that suit each

Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di

Cet outil fonctionne comme un serveur de protocole de contexte de modèle (Model Context Protocol) qui relie les modèles d'intelligence artificielle aux environnements de développement locaux. Il permet aux assistants IA d'effectuer une analyse de base de code, d'exécuter des utilitaires en ligne de commande et d'appliquer des modifications de code automatisées directement sur les fichiers de projet locaux. En s'intégrant à l'API Gemini, le système facilite une interaction profonde entre les modèles externes et les ressources système locales. Le projet se distingue par un cadre de sécurité et de fiabilité robuste conçu pour les flux de travail de développement automatisés. Il applique des contrôles d'accès stricts basés sur les chemins pour protéger les fichiers sensibles et utilise des environnements sandbox isolés pour exécuter le code généré. Pour assurer une opération continue, l'outil implémente un routage de secours dynamique des modèles, qui bascule automatiquement entre les niveaux de modèle si les limites d'utilisation sont atteintes, et utilise un jugement de modèle secondaire pour valider la qualité des sorties générées. Le système prend en charge un large éventail d'opérations techniques, y compris l'extraction de données structurées à partir de la sortie du terminal, la gestion de l'historique des conversations et la configuration des paramètres d'exécution pour les tâches de longue durée. Il fournit des capacités complètes pour scanner les répertoires de projet, générer des informations techniques et gérer les fenêtres de contexte pour traiter une documentation et des informations de base de code étendues.

This project serves as a curated directory and resource hub for developers working with generative artificial intelligence. It provides a comprehensive index of open-source software solutions, frameworks, and project examples designed to help users discover and implement advanced AI systems. The repository focuses on practical implementations of agentic, multimodal, and retrieval-augmented generation architectures. It highlights tools for building conversational assistants, voice-enabled agents, and automated workflows that leverage large language models. By showcasing diverse technical domai