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Langflow is a low-code platform for designing and deploying multi-step AI agent pipelines and large language model sequences. It provides a visual environment to map logic and data flow between components, serving as an orchestrator for managing conversations and data retrieval across multiple autonomous agents. The platform distinguishes itself through a drag-and-drop interface that allows for the construction of complex AI pipelines without extensive boilerplate code. It enables the conversion of these internal workflows into standardized tools for external connectivity via the Model Contex

Keras is a high-level deep learning API used to design, build, and train neural networks for tasks such as computer vision, natural language processing, and time series forecasting. It provides a framework for defining model architectures and optimizing weights through a structured interface. The project is defined by a backend-agnostic design that allows the same model code to run across different compute engines. This multi-backend execution enables users to swap underlying engines to optimize for specific hardware or performance requirements. The system supports distributed model training

ModelScope is a comprehensive machine learning platform that functions as a model hub, training framework, inference engine, and cloud development environment. It provides a centralized repository for discovering, downloading, and managing pre-trained models and datasets across multiple modalities, including natural language, vision, and speech. The platform features a unified interface for multimodal model inference and a standardized framework for fine-tuning and evaluating large-scale models. It supports distributed training to scale workloads across multiple processors and provides contai

Qtile هو مدير نوافذ متجانب (Tiling Window Manager) ومؤلف (Compositor) قابل للبرمجة، مكتوب ومُعد باستخدام Python. يقوم بتنظيم نوافذ التطبيقات في مربعات غير متداخلة أو أوضاع عائمة لزيادة مساحة الشاشة، ويدعم بروتوكولات خادم العرض X11 و Wayland. يتم تعريف البيئة من خلال تنفيذ نصوص Python، مما يسمح بالتخصيص البرمجي لاختصارات لوحة المفاتيح، والأنماط المرئية، وسلوكيات النظام. يتيح هذا النهج مساحة عمل مخصصة حيث يتم إدارة واجهة المستخدم بالكامل ومنطق التخطيط من خلال تكوين قائم على النصوص البرمجية. يغطي المشروع مجالات قدرات واسعة تشمل تنظيم مساحات العمل الافتراضية، وسير عمل سطح المكتب المؤتمت، وإدارة نوافذ التطبيقات عبر بروتوكولات رسومية مختلفة. كما يتضمن أدوات لمراقبة صحة النظام عبر تتبع تخصيص الذاكرة وتحليل أداء العمليات.

Agency Swarm is a multi-agent orchestration framework and development kit designed to coordinate specialized AI agents through defined communication patterns and handoffs. It functions as a system for managing agent swarms, providing an API gateway to expose these coordinated collectives as production-ready HTTP endpoints. The project distinguishes itself through its Model Context Protocol integration layer, which connects agents to external data sources and capabilities. It implements specialized orchestration patterns, such as the orchestrator-worker model and role-based delegation, to tran

This is a Python SDK for interacting with large language models via API. It serves as a client library to generate text, process messages, and manage conversational states, while providing a specialized interface for connecting to models hosted across different cloud infrastructure providers. The SDK includes a tool-calling framework that maps Python functions to JSON schemas, allowing models to execute external tools. It also features a built-in token counting utility to estimate input size before transmission and a server-sent events client for receiving model tokens in real time. The libr