27 repositorios
Systems for merging technical data from disparate sources like websites, repositories, and media into a unified structure.
Distinct from Multi-file Aggregators: Candidates focus on real-time telemetry streams or simple file globs; this is multi-modal technical content aggregation.
Explore 27 awesome GitHub repositories matching data & databases · Multi-Source Content Aggregation. Refine with filters or upvote what's useful.
Owl is a framework for agentic workflow automation and multi-agent orchestration. It functions as a system for coordinating autonomous large language model agents to decompose and execute complex tasks through shared communication and collaborative planning. The project distinguishes itself through a multi-modal toolset for processing images, audio, and video, alongside a synthetic data generator that produces domain-specific datasets using self-instruct and verifier loops. It further incorporates a retrieval-augmented generation pipeline framework that integrates long-term memory and real-ti
Ships a suite of tools for processing images, audio, and video files alongside structured document parsing.
WebAgent is an autonomous web navigation agent and research system designed to browse the internet and synthesize information to answer complex queries. It functions as a reasoning orchestrator that navigates the web iteratively to perform deep research and extract structured data. The project includes a reinforcement learning training pipeline that generates synthetic interaction datasets for model pre-training and fine-tuning. It employs token-level policy gradients to stabilize training in non-stationary environments and uses a dual-mode inference scaling mechanism to balance execution bet
Normalizes heterogeneous inputs from live web pages and local PDFs into a uniform representation for processing.
Skill Seekers is a toolset for generating large language model knowledge bases, featuring a multi-source content scraper and a dedicated RAG data pipeline. It extracts technical data from documentation, code, and video to create structured assets and configuration files for AI-powered IDE extensions. The project distinguishes itself through the ability to transform raw data into polished tutorials and specialized skills for AI plugin marketplaces. It utilizes abstract syntax tree parsing and optical character recognition to analyze GitHub repositories, PDFs, and video frames, converting these
Combines content from websites, repositories, and media files into a unified knowledge structure.
This project is a self-hosted RSS feed aggregator and reader designed to collect and organize content from RSS, Atom, and JSON feeds. It functions as a privacy-focused client that blocks pixel trackers and strips URL parameters to prevent third-party tracking and referrer leakage. The system is built as a REST API feed reader, exposing its data and user accounts through a programmable interface for third-party clients. It maintains compatibility with the OPML standard for importing and exporting subscriptions and provides tools for web content extraction using readability parsers and custom r
Collects and organizes content from Atom, RSS, and JSON sources into a unified interface.
PicaComic is a digital comic and manga reader that enables browsing and reading content from multiple online sources within a single unified interface. It aggregates data from various providers into a local database for consistent searching and browsing. The application supports custom content integration, allowing the registration of new third-party reading sources through a provider-based extension system. It also features cross-device reading synchronization to keep reading progress and favorite lists aligned across different devices. Additional capabilities include offline content manage
Aggregates comic data from multiple third-party sources into a single unified interface.
Gridsome is a Vue.js static site generator designed for building Jamstack websites. It functions as a progressive web app framework that pre-renders components into static HTML files for delivery via content delivery networks. The system includes a GraphQL data orchestrator that unifies content from multiple APIs and local files into a single schema for site queries. It also integrates a frontend asset optimizer to automatically compress images and implement code-splitting. The framework provides support for offline-capable websites through prefetching pages and critical asset loading. Addit
Combines content from various APIs and local files into a single interface to power a website's frontend.
CloudSaver is a multi-cloud file transfer manager and storage aggregator designed to discover remote resources and save them directly to cloud drives. It functions as a cloud file downloader and management platform that enables the movement of data between different cloud storage providers without requiring files to be downloaded to a local device first. The system uses OAuth authentication to manage secure connections to third-party cloud drives, facilitating direct server-to-server data transfers. It incorporates asynchronous streaming to move data between remote sources and destinations, p
Merges searchable file information from disparate cloud providers into a unified structure for cross-platform discovery.
Jazzy is a source code documentation tool and API generator designed for Swift and Objective-C. It analyzes project roots and compiled modules to produce searchable HTML websites or offline docsets. The system functions as a multi-module API documenter, aggregating documentation from separate source modules into a single site with cross-module linking. It serves as a markdown-based documentation engine that integrates technical guides and LaTeX mathematical equations to complement generated API references. The tool covers a broad capability surface including multi-language API generation for
Merges technical API data from disparate source modules into a unified structure with shared search.
Horizon es un sistema de agregación de noticias impulsado por IA diseñado para construir tuberías personalizadas que obtienen, filtran y enriquecen información de diversas fuentes web. Utiliza modelos de lenguaje de gran tamaño para automatizar el filtrado de información, puntuando el contenido para eliminar el ruido y resaltar historias de alto valor. El sistema integra el Protocolo de Contexto de Modelo (Model Context Protocol) para exponer las etapas de la tubería como herramientas para asistentes de IA externos. Emplea un adaptador unificado para estandarizar diversos proveedores de modelos de IA para tareas consistentes de puntuación y resumen de contenido. La tubería agrega datos de feeds RSS, plataformas sociales, kits de herramientas financieras y repositorios de código. Gestiona el contenido mediante deduplicación, filtrado de categorías basado en cuotas y enriquecimiento contextual antes de entregar resúmenes multilingües por correo electrónico, webhooks o despliegue de sitio estático. Los flujos de trabajo se orquestan a través de automatización en la nube recurrente para gestionar la recolección y entrega programada de información procesada.
Aggregates technical content from diverse sources like RSS, social platforms, and repositories into a unified structure.
Este proyecto es un gestor de paquetes de Android y cliente de tienda de aplicaciones diseñado para navegar, instalar y actualizar software de código abierto desde F-Droid y repositorios personalizados de terceros. Funciona como un cliente de repositorio de código abierto que permite a los usuarios descubrir software a través de un catálogo sincronizado. El sistema cuenta con una caché de repositorio local, lo que permite a los usuarios buscar y gestionar su biblioteca de software en modo de operación offline sin una conexión a internet activa. Admite la gestión de catálogos de múltiples fuentes para agregar datos de aplicaciones de múltiples URLs de repositorio en un solo índice. El cliente proporciona rutas de instalación de paquetes flexibles, enrutando despliegues a través de prompts basados en sesiones, acceso root o escalada de privilegios especializada mediante Shizuku. También incluye sondeo de actualizaciones en segundo plano automatizado para mantener las aplicaciones instaladas actualizadas.
Aggregates application data from multiple custom and default repository URLs into a single unified index.
BibiGPT-v1 is an AI-powered media summarizer that generates concise summaries and enables interactive Q&A for audio and video content from multiple platforms. It uses large language models to process transcripts from sources like YouTube, Bilibili, and local files, delivering real-time streaming responses for an interactive chat experience. The project distinguishes itself by combining multi-platform content aggregation with a conversational learning assistant capability, allowing users to query audio and video content through AI-driven dialogue. It also includes export functionality for savi
Fetches and processes media from diverse sources like YouTube, Bilibili, and local files into a unified AI workflow.
DeepChat is a desktop application that connects to multiple cloud and local AI model providers through a single unified chat interface, while also integrating external ACP-compatible coding and task agents as selectable models. It manages local AI agent sessions with project folders, permission modes, and resumable context for long-running tasks, and connects external tools and data sources via the Model Context Protocol using StreamableHTTP, SSE, or Stdio transports. The application distinguishes itself by supporting remote desktop session control, binding messaging app channels to sessions
Displays Markdown, code blocks, images, Mermaid diagrams, and artifacts within conversations for diverse result presentation.
Podcastfy is an AI content-to-podcast generator that converts text, URLs, PDFs, images, and videos into conversational audio podcasts. It integrates with over 100 language models for transcript creation and multiple text-to-speech engines for audio output, with support for customizable dialogue style and optional local transcript generation for privacy. The project distinguishes itself through a flexible architecture that decouples job submission from result retrieval via asynchronous polling, normalizes heterogeneous inputs into uniform text, and routes content through pluggable LLM and TTS
Transforms heterogeneous inputs like text, URLs, images, and PDFs into a uniform text representation.
Returns images or media from tools, allowing the LLM to analyze visual content.
Este proyecto es una biblioteca agnóstica de frameworks para construir interfaces accesibles de búsqueda a medida que escribes (search-as-you-type). Proporciona una capa de lógica headless que desacopla la gestión del estado de búsqueda y el filtrado de resultados de la presentación visual, permitiendo a los desarrolladores mantener el control total sobre la estructura HTML y el estilo subyacentes. La biblioteca destaca por una arquitectura altamente modular que soporta la agregación de datos de múltiples fuentes, permitiendo la combinación de resultados de arrays estáticos, APIs remotas e índices externos en una sola interfaz. Cuenta con un motor de renderizado flexible que se integra con varias bibliotecas de DOM virtual, junto con un sistema basado en plugins para extender la funcionalidad con características como sugerencias de consulta, historial de búsqueda reciente y redirecciones personalizadas. El sistema cubre una amplia gama de capacidades de búsqueda, incluyendo integración de IA generativa para respuestas conscientes del contexto, filtrado de resultados en tiempo real y ajuste de relevancia. Incluye herramientas de observabilidad integradas para rastrear interacciones de usuario y estado de red, así como soporte completo para los estándares de accesibilidad WAI-ARIA para asegurar una navegación inclusiva mediante teclado y lectores de pantalla. La biblioteca está diseñada para su integración en diversos entornos web, ofreciendo utilidades de configuración para fuentes de datos, localización de interfaces y optimizaciones específicas para móviles.
Aggregates search results from diverse sources like static arrays, remote APIs, and external indices into a single unified interface.
TAICHI-flet es un navegador de recursos integrado con IA y una aplicación de escritorio para Windows construida con Flet. Sirve como un centro multimedia centralizado y agregador de contenido web diseñado para combinar utilidades de inteligencia artificial con herramientas para buscar y acceder a películas, música y software. La aplicación permite la agregación de recursos de múltiples fuentes, incluyendo unidades de almacenamiento en la nube y direcciones web externas. Proporciona herramientas especializadas para transmitir y descargar anime y música, leer novelas en línea con reproducción de texto a voz y automatizar operaciones en el sistema operativo Windows utilizando inteligencia artificial. La interfaz incluye un sistema de navegación basado en pestañas para cambiar entre categorías de contenido y un sistema de gestión de temas para personalizar la estética del escritorio y los fondos de pantalla. Las capacidades técnicas incluyen el uso de servidores proxy para saltar restricciones de seguridad de origen cruzado para imágenes remotas y procesamiento mediante hilos demonio para mantener la capacidad de respuesta de la interfaz durante tareas de larga duración.
Aggregates multimedia and software resources from various web APIs and cloud drives into a unified interface.
Proxypool is an automated proxy crawler and aggregator that discovers, validates, and curates proxy servers from public pages and subscription addresses. It functions as a background service that collects proxy nodes across multiple protocols and serves the resulting validated list through a network API for external consumption. The system manages the full lifecycle of proxy discovery by aggregating data from multiple sources, deduplicating entries, and utilizing a connectivity validator to ensure only active and functional nodes are maintained. Crawl sources are managed via a configuration f
Collects and merges proxy nodes from multiple public pages and channels into a single curated list.
ShuiZe_0x727 es un framework de recolección de inteligencia de código abierto y herramienta de gestión de superficie de ataque. Funciona como un motor de descubrimiento de activos y agregador de ciberinteligencia diseñado para identificar activos expuestos a internet, mapear infraestructura de red y visualizar la exposición total de la red. El proyecto integra escaneo de vulnerabilidades y detección de fugas de datos sensibles para identificar debilidades de seguridad y puntos de acceso no autorizados. Emplea una combinación de consultas a APIs de espacio de red, análisis de logs de certificados y escaneo de repositorios públicos para extraer credenciales filtradas, claves de API y rutas administrativas internas. El framework proporciona capacidades para la recolección automatizada de información y la investigación de ciberinteligencia, utilizando un motor de escaneo basado en plugins para detectar vulnerabilidades en servicios web y puertos abiertos. Los datos de activos recopilados y los hallazgos de seguridad se exportan a hojas de cálculo formateadas para su análisis y auditoría offline.
Merges technical data from certificate logs, DNS records, and crawlers into a single asset structure.
UserScripts is a collection of JavaScript browser userscripts designed to modify website behavior and add custom functionality to web browsers. It serves as a multi-purpose toolset for web page content automation, web interface enhancement, and specialized web scraping and downloading. The project distinguishes itself through a wide range of specialized utilities, including a browser-based text transformer for character encoding and terminology mapping, and tools for bypassing content censorship. It provides advanced web scraping capabilities such as deciphering obfuscated download links, agg
Aggregates multi-chapter text from web pages into a single file by detecting main content automatically.
Aidoku is a manga reader application and digital library manager. It serves as a modular content aggregator that allows users to discover, download, and read manga from various third-party sources and local files. The application utilizes a modular source plugin system to integrate external provider packages, enabling the ingestion of content from multiple third-party sources. It includes a sync engine that communicates with external tracking APIs to maintain consistent reading progress across different platforms. The system covers manga library management, including the ability to search fo
Merges manga content from disparate third-party sources into a unified internal structure for consistent rendering.