27 مستودعات
Systems that propagate database changes to connected clients instantly to ensure user interfaces reflect the current state without manual refreshing.
Explore 27 awesome GitHub repositories matching data & databases · Real-Time. Refine with filters or upvote what's useful.
Pocketbase is a backend-as-a-service platform that provides a self-contained, single-binary server for building full-stack applications. It integrates a relational database, authentication, and file storage into one executable process, eliminating the need for external infrastructure or complex server management. The platform distinguishes itself through an embedded database engine that runs directly within the application process and a reactive communication layer that pushes live updates to connected clients. By monitoring internal transaction logs, it synchronizes data across multiple user
Streams database modifications to connected clients instantly to ensure user interfaces remain synchronized with current state.
Refine is a React-based framework for building data-intensive internal tools, admin panels, and B2B applications. It functions as a data-driven UI library and a headless admin panel generator that connects frontends to external backend services using standardized logic for state management and network request handling. The project decouples business logic from the presentation layer, allowing any custom design system or interface library to be applied to the application. It includes a CRUD application generator that automatically creates user interfaces for managing records based on the struc
Ensures application state reflects backend changes instantly through real-time data synchronization.
Apollo is a microservice configuration management system and dynamic configuration center. It serves as a centralized platform for storing, distributing, and syncing application settings across distributed environments to maintain consistency across various clusters. The system distinguishes itself through a dynamic configuration orchestrator that supports real-time updates to connected applications, eliminating the need for manual service restarts. It features a grayscale configuration deployment tool for rolling out changes to a small subset of service instances and a version control system
Propagates configuration changes to connected clients instantly to ensure the system reflects the current state without restarts.
Storm is an automated research platform that coordinates multiple language model agents to conduct internet-based information gathering and generate structured, citation-backed articles. The system functions as a modular framework that grounds generated content in real-time web data, ensuring that all outputs are verifiable and evidence-based. The platform distinguishes itself through a multi-agent discourse orchestrator that simulates expert dialogues to refine information discovery. By utilizing hierarchical concept mapping, the system organizes retrieved data into dynamic structures, allow
Connects language models to live internet data to ensure generated content is verifiable and evidence-based.
React-admin is a framework for building data-driven administrative interfaces that connect to REST or GraphQL backends. It provides a comprehensive suite of tools for managing the full lifecycle of administrative applications, including resource-oriented routing, declarative form scaffolding, and context-driven state management. By utilizing a modular adapter-based architecture, the framework abstracts backend communication, allowing developers to build consistent CRUD interfaces that handle data fetching, authentication, and synchronization automatically. The project distinguishes itself thr
Reflects live backend updates in the user interface using pub-sub mechanisms to keep dashboards current without manual refreshes.
This project is a high-performance, lightweight C graphics library designed for creating interactive user interfaces on resource-constrained embedded hardware. It functions as a comprehensive framework that provides a widget toolkit, a rendering engine, and hardware-agnostic drivers to support the development of graphical displays on microcontrollers and embedded systems. The framework distinguishes itself through a flexible, object-oriented widget hierarchy and a declarative layout engine that supports responsive design patterns like flexbox and grid systems. It enables developers to synchro
Connects graphics engines to real-time operating systems to handle task scheduling and hardware abstraction.
The Gemini Cookbook is a comprehensive collection of implementation patterns, code samples, and development guides designed for building applications with Google Gemini models. It serves as a central resource for developers to integrate multimodal generative artificial intelligence into their software, providing the necessary frameworks to manage model interactions, stateful workflows, and structured data extraction. The repository distinguishes itself by offering specialized toolkits for autonomous agent orchestration, enabling the construction of agents that can execute code, browse the web
Integrates real-time geographical data into model outputs to provide location-aware answers based on current place information.
Memori is an AI agent memory middleware platform designed to provide persistent, context-aware recall for language models. It functions as a non-intrusive layer that intercepts outbound model requests to automatically capture interaction history and execution traces, ensuring that agents maintain continuity across sessions without requiring modifications to existing application logic. The platform distinguishes itself through a dual-model storage architecture that maintains information as both structured relational primitives for precise fact retrieval and rolling narrative summaries for situ
Integrates execution results and tool outputs with conversation history to ensure agents learn from past actions.
OpenMetadata is an enterprise data catalog, metadata platform, and governance suite that functions as a knowledge graph for data assets. It serves as an AI-ready metadata layer, providing governed context and organizational memory to large language model agents via the Model Context Protocol. The platform distinguishes itself by capturing institutional knowledge, linking conversations, decisions, and remediation notes directly to data assets to preserve tribal knowledge. It integrates AI agents to automate metadata governance, such as suggesting descriptions and identifying sensitive data thr
Provides business context grounding to make technical assets discoverable and understandable for users and AI.
Planning with files is an enterprise knowledge graph platform designed to transform unstructured organizational data into a searchable, interconnected network. By utilizing a graph-based retrieval-augmented generation engine, the system grounds language model outputs in verified internal data, ensuring that responses are explainable, traceable, and free from hallucinations. The platform distinguishes itself through a focus on data sovereignty and secure, private infrastructure deployment. It enables organizations to maintain full control over sensitive information by processing data locally o
Grounds language models in verified internal data to ensure generated responses are accurate and trustworthy.
This project is a multi-model database system designed to store and manage information as documents, graphs, and key-value pairs within a single engine. It functions as a graph database and knowledge graph platform, providing the infrastructure to build, query, and visualize structured data models. By integrating vector search capabilities, the system serves as a vector database that supports retrieval-augmented generation for artificial intelligence applications. The platform distinguishes itself through a unified query language that allows users to perform document lookups, graph traversals
Supplies large language models with verified enterprise context through graph retrieval and vector search.
DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono
Supplies AI agents with verified business definitions and lineage to ensure grounded, trustworthy insights.
F Prime هو إطار عمل قائم على المكونات مصمم لتطوير ونشر البرمجيات المدمجة وبرمجيات الطيران الفضائي. يوفر بنية معيارية تفصل منطق البرمجيات عن واجهات الاتصال، مما يسمح للمطورين بتحديد هياكل النظام من خلال لغة نمذجة خاصة بالمجال. يتيح هذا النهج القائم على النماذج توليد الكود آلياً، مما يضمن الاتساق عبر طوبولوجيا النظام المعقدة مع الحفاظ على عقود واجهة صارمة بين وحدات البرمجيات. يتميز إطار العمل بنظام بناء متكامل ومجموعة عمليات بيانات أرضية. فهو يقوم بأتمتة دورة حياة البرمجيات المدمجة بالكامل، بدءاً من التجميع المتقاطع وإدارة التبعيات وصولاً إلى توليد واجهات القياس عن بُعد والأوامر. من خلال توفير بيئة موحدة لكل من برمجيات الطيران الموجودة على متن المركبة والمراقبة الأرضية، فإنه يسهل التكامل والاختبار والتحكم في الأنظمة المدمجة الموزعة عبر منصات أجهزة متنوعة. بالإضافة إلى بنيته الأساسية، يتضمن المشروع أدوات شاملة لمراقبة النظام، بما في ذلك تصور القياس عن بُعد في الوقت الفعلي، وتسجيل الأحداث، وتتبع التشخيص. وهو يدعم مجموعة واسعة من سيناريوهات النشر، من بيئات الأجهزة الخام (bare-metal) إلى أنظمة التشغيل في الوقت الفعلي، ويوفر آليات لإدارة الذاكرة، ونمذجة السلوك القائم على الحالة، وتنفيذ المهام غير المتزامنة. يتم صيانة المشروع كمستودع C++ مع توثيق شامل ودعم لنظام البناء من أجل التطوير عبر المنصات.
Executes custom external processes alongside the ground data system to integrate new user interfaces or data processors.
This project is a plugin framework and agentic workflow library designed to connect large language models to professional toolstacks. It provides a system for integrating language models with external data warehouses, CRMs, and other enterprise software to retrieve and manipulate real-time business data. The framework enables the automation of specialized professional tasks through a file-based plugin definition system. It allows for the customization of domain expertise and plugin behavior to align with internal company processes, supported by an enterprise data connector that links models t
Captures business details and tool connections to provide organizational context for agentic workflows.
This project is a browser extension and toolset designed to integrate real-time web search results and extracted page content into large language model prompts. It functions as a web search integrator and content parser that feeds current internet data into conversational AI interfaces to ensure responses are grounded in evidence. The system includes a prompt template manager for storing and executing pre-defined structures that trigger automated web crawls. It enables deep research workflows by performing comprehensive searches to generate detailed responses supported by citations and links
Inserts real-time web search results into the prompt context to ground AI reasoning with current evidence.
Genkit is an open-source framework for building AI-powered applications. It provides a unified interface for connecting to hundreds of generative AI models from multiple providers, enabling text, image, audio, and video generation through a single API. The framework structures multi-step AI interactions—including chat, retrieval-augmented generation, tool use, and agentic workflows—as composable, traceable flows with built-in streaming and state management. The framework distinguishes itself through a comprehensive developer toolkit that includes a command-line interface and a local developer
Provides location-aware answers by integrating maps data into the model's context.
هذا المشروع عبارة عن إضافة لقاعدة المعرفة ومدير سياق RAG يستخدم واجهة قاعدة بيانات متجهة محلية لتمكين البحث الدلالي ورسم خرائط العلاقات. يقوم بتحويل النص إلى متجهات رقمية للعثور على ملاحظات ومقتطفات ذات صلة دلالياً بناءً على المعنى المفاهيمي بدلاً من مطابقة الكلمات الرئيسية. يتميز النظام من خلال مصور رسوم بيانية دلالي يقوم بتعيين الملاحظات في مجموعات للكشف عن الروابط المفاهيمية. كما يتميز بمدير سياق قادر على تجميع الملاحظات والمقتطفات المحلية في حزم قابلة لإعادة الاستخدام لتوفير قواعد واقعية راسخة لمحادثات النماذج اللغوية الكبيرة. تغطي الأداة مجموعة واسعة من الإمكانيات بما في ذلك استعلام المعرفة باللغة الطبيعية، وتنفيذ سير العمل المؤتمت لإنشاء الملاحظات، والقدرة على توجيه المطالبات بين نماذج الذكاء الاصطناعي المحلية والسحابية. يوفر واجهات اكتشاف متعددة، مثل مؤشرات المحتوى ذي الصلة المضمنة ولوحة تذييل لعرض المستندات المشابهة أثناء عملية التحرير.
Grounds AI responses using content from a local index of documents and notes.
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
Retrieves grounded answers from verified source material across large repositories to ensure accurate technical information.
Deep research هو نظام مؤتمت لتوليد الأبحاث يستخدم نماذج لغوية كبيرة ومحركات بحث على الويب لتجميع تقارير شاملة وتحليلات متعمقة حول مواضيع معقدة. يجمع بين نتائج بحث الويب في الوقت الفعلي والمستندات المحلية التي تم تحميلها لربط المحتوى المولد ببيانات واقعية محددة. يستخدم النظام سير عمل بحثي تكراري لتحسين التقارير من خلال عملية خطوة بخطوة للتحرير والتحديث وإعادة تشغيل مراحل بحثية محددة. يمكنه تحويل بيانات التقارير غير المهيكلة إلى تصورات رسوم بيانية للمعرفة لرسم خرائط العلاقات بين النتائج المختلفة وتنظيم هيكل مشروع بحثي. تشمل مجالات القدرات تكامل نماذج ذكاء اصطناعي ومحركات بحث متعددة، واستخدام قوالب متخصصة لتحديد نطاق البحث، وإدارة تاريخ البحث. يدعم النظام أيضًا بروتوكول سياق النموذج (Model Context Protocol) لربط قدرات البحث وتدفقات البيانات بالأدوات الخارجية.
Grounds AI generated reports in specific factual data from a combination of local documents and web search.
DocSearch هي مجموعة أدوات متكاملة لإضافة إمكانيات البحث إلى مواقع التوثيق. توفر واجهة بحث JavaScript و React لتضمين أشرطة بحث الإكمال التلقائي، وزاحف ويب مخصص لاستخراج ومزامنة محتوى الموقع في فهرس قابل للبحث، ونظام مراقبة لتتبع استعلامات المستخدم وأحداث التفاعل. يتميز المشروع بدمج مساعد ذكاء اصطناعي محادثي مدعوم بالتوليد المعزز بالاسترجاع (RAG). يقوم هذا المساعد بتأسيس نموذج لغوي كبير في فهرس توثيق محدد لتقديم إجابات واقعية، مع مطالبات نظام قابلة للتكوين لضبط السلوك وقيود النطاق للتحكم في الأماكن التي يظل فيها المساعد نشطاً. يغطي النظام نطاقاً واسعاً من الإمكانيات التشغيلية، بما في ذلك جدولة الزحف المؤتمتة، والتحقق من ملكية النطاق، ومعالجة نتائج البحث من خلال التصفية والنطاق. واجهة المستخدم قابلة للتخصيص بدرجة عالية عبر سمات محددة مسبقاً، وتجاوزات نصية مترجمة، وقوالب نتائج قائمة على المكونات. يمكن نشر واجهة البحث كمدخل مضمن، أو نافذة منبثقة (modal)، أو لوحة جانبية دائمة.
Restricts the language model to a specific search index to ensure answers are based exclusively on internal documentation.