Awesome GitHub RepositoriesReal-Time

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

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

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

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

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

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

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

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

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

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

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

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

F Prime es un framework basado en componentes diseñado para el desarrollo y despliegue de software embebido y de vuelo espacial. Proporciona una arquitectura modular que desacopla la lógica del software de las interfaces de comunicación, permitiendo a los desarrolladores definir estructuras de sistema mediante un lenguaje de modelado específico del dominio. Este enfoque basado en modelos permite la generación automática de código, asegurando la consistencia en topologías de sistemas complejos mientras mantiene estrictos contratos de interfaz entre los módulos de software. El framework se distingue por su sistema de compilación integrado y su suite de operaciones de datos en tierra. Automatiza todo el ciclo de vida del software embebido, desde la compilación cruzada y la gestión de dependencias hasta la generación de interfaces de telemetría y comandos. Al proporcionar un entorno unificado tanto para el software de vuelo a bordo como para la monitorización en tierra, facilita la integración, las pruebas y el mando y control de sistemas embebidos distribuidos en diversas plataformas de hardware. Más allá de su arquitectura central, el proyecto incluye herramientas integrales para la observabilidad del sistema, incluyendo visualización de telemetría en tiempo real, registro de eventos y trazado de diagnóstico. Soporta una amplia gama de escenarios de despliegue, desde entornos bare-metal hasta sistemas operativos en tiempo real, y proporciona mecanismos para la gestión de memoria, modelado de comportamiento basado en estados y ejecución de tareas asíncronas. El proyecto se mantiene como un repositorio en C++ con documentación extensa y soporte de sistema de compilación para el desarrollo multiplataforma.

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

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

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

Este proyecto es un plugin de base de conocimientos y gestor de contexto RAG que utiliza una interfaz de base de datos vectorial local para permitir la búsqueda semántica y el mapeo de relaciones. Transforma texto en vectores numéricos para encontrar notas y extractos semánticamente relacionados basándose en el significado conceptual en lugar de coincidencias de palabras clave. El sistema se diferencia mediante un visualizador de grafos semánticos que mapea las notas en clústeres para revelar conexiones conceptuales. También cuenta con un gestor de contexto capaz de agrupar notas y extractos locales en paquetes reutilizables para proporcionar bases factuales fundamentadas para conversaciones con modelos de lenguaje grandes. La herramienta cubre una amplia gama de capacidades, incluyendo consultas de conocimiento en lenguaje natural, ejecución de flujos de trabajo automatizados para la creación de notas y la capacidad de enrutar prompts entre modelos de IA locales y basados en la nube. Proporciona varias interfaces de descubrimiento, como indicadores de contenido relacionado en línea y un panel inferior para mostrar documentos similares durante el proceso de edición.

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

Deep research is an automated research generation system that uses large language models and web search engines to synthesize comprehensive reports and deep-dive analyses on complex topics. It combines real-time web search results with uploaded local documents to ground generated content in specific factual data. The system employs an iterative research workflow to refine reports through a step-by-step process of editing, updating, and restarting specific research stages. It can transform unstructured report data into knowledge graph visualizations to map relationships between different findi

DocSearch is an integrated toolset for adding search capabilities to documentation websites. It provides a JavaScript and React search interface for embedding autocomplete search bars, a dedicated web crawler to extract and synchronize site content into a searchable index, and a monitoring system to track user queries and interaction events. The project distinguishes itself by incorporating a conversational AI assistant powered by retrieval-augmented generation. This assistant grounds a large language model in a specific documentation index to provide factual answers, with configurable system