Search Results for "retrieve data"
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Showing 30 open source projects for "retrieve data"
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Recordly
Recordly is an open‑source screen recorder for MacOS/Windows/Linux
Recordly is a lightweight recording and data capture tool designed to streamline the process of collecting, organizing, and replaying structured information, likely oriented toward developers or productivity workflows. The project focuses on simplicity and speed, allowing users to record interactions or data streams with minimal configuration while maintaining clarity and usability. -
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nhentai
A library for interacting with the nhentai API
nhentai is a JavaScript and TypeScript library designed to interact with the nhentai API and retrieve doujinshi metadata and content information. It enables developers to programmatically access galleries, titles, tags, covers, and page URLs from the nhentai platform. The library supports both CommonJS and ES6 module imports, making it easy to integrate into different Node.js projects. Developers can use it to fetch specific doujin entries, explore associated metadata, and process gallery data for applications or scripts. ... -
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douyin
Open source Douyin crawler for collecting and downloading public data
DouyinCrawler is an open source data collection tool designed to gather publicly available information from the Douyin platform. It demonstrates how to build a Python-based web crawler combined with a graphical interface and command line functionality. It allows users to collect data from various types of Douyin content, including user profiles, videos, hashtags, and music pages. DouyinCrawler supports both automated scraping and batch operations to process multiple targets efficiently. It... -
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GitNexus
Zero-Server Code Intelligence Engine
GitNexus is a zero-server code intelligence engine that builds an interactive knowledge graph of a codebase entirely within the user’s browser. The tool allows developers to drop in a GitHub repository or ZIP archive and automatically generate a relational map of files, dependencies, and structural relationships. Its core concept centers on precomputed relational intelligence, enabling AI systems to retrieve comprehensive context with minimal queries. GitNexus includes a built-in Graph RAG... -
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Quivr
Your Second Brain supercharged by Generative AI
Quivr, your second brain, utilizes the power of GenerativeAI to store and retrieve unstructured information. Think of it as Obsidian, but turbocharged with AI capabilities. -
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EcoPaste
Open source clipboard management tools for Windows, Macos and Linux
...The application is resident in the background, wakes up with one click through custom shortcut keys, saves time, and improves efficiency. Allows you to bookmark clipboard content for easy and fast access. Whether it's crucial data for work or frequently used information in daily life, you can effortlessly save and retrieve it. Supports plain text, rich text, HTML, images, and files. Automatically groups clipboard content by type, managing your clipboard content efficiently. Recognize text and QR codes in seconds. Quickly copy-recognized content via the context menu, enabling convenient offline text recognition. -
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Talk to Figma MCP
AI bridge enabling Cursor agents to read and modify Figma designs
cursor-talk-to-figma-mcp is an open source integration that connects AI coding agents with Figma through the Model Context Protocol (MCP). It allows AI tools such as Cursor or other compatible agents to directly communicate with Figma documents and interact with design elements programmatically. Through this integration, an AI assistant can read the structure of a design, retrieve information about nodes or selections, and perform modifications to the layout or content.... -
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YourInfo
Real-time browser fingerprinting demo with cross-browser tracking
YourInfo is a personal information management tool designed to let users securely store, structure, and retrieve their key data — such as contacts, credentials, personal notes, and preferences — while also enabling AI-assisted queries or reminders using that data. The platform prioritizes privacy by focusing on local storage or user-controlled databases, ensuring sensitive data stays under the user’s control rather than in third-party servers. -
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VisualDL
Deep Learning Visualization Toolkit
VisualDL, a visualization analysis tool of PaddlePaddle, provides a variety of charts to show the trends of parameters and visualizes model structures, data samples, histograms of tensors, PR curves , ROC curves and high-dimensional data distributions. It enables users to understand the training process and the model structure more clearly and intuitively so as to optimize models efficiently. VisualDL provides various visualization functions, including tracking metrics in real-time,... -
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Framelink MCP for Figma
MCP server enabling AI coding tools to access Figma design data
Figma-Context-MCP is an open source server that connects Figma design data with AI-powered coding tools through the Model Context Protocol (MCP). It allows coding assistants to retrieve structured information from Figma files so they can better translate visual designs into working code. Instead of relying on screenshots or manual descriptions, Figma-Context-MCP accesses layout, styling, and component metadata directly from the Figma API and presents it in a simplified format optimized for AI models. ... -
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Paperclip
Open-source orchestration for zero-human companies
Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI applications to search and retrieve scholarly papers without needing to integrate with each provider individually. The system supports repositories such as arXiv, OpenAlex, and the Open Science Framework, giving AI agents access to a large body of research literature. ... -
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Sanity
Rapidly configure content workspaces powered by structured content
...Instead of using predefined content templates, Sanity allows developers to define schemas in code that determine how content is structured and stored. The platform stores data in a real-time backend called the Content Lake, enabling collaborative editing and instant updates across connected applications. Because the system separates content management from presentation, developers can use any front-end framework to display the data. Sanity also includes APIs and query tools that allow developers to retrieve content dynamically and integrate it into websites, mobile apps, and other digital services. -
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civitai
Open platform for sharing and discovering Stable Diffusion models
Civitai is an open source project that provides the codebase for a platform designed to share and manage generative AI models used for image generation. It focuses primarily on models compatible with Stable Diffusion and related technologies, allowing creators to upload, organize, and distribute custom AI models and related resources. These resources can include textual inversions, hypernetworks, aesthetic gradients, and variational autoencoders that modify or extend the capabilities of... -
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Redux Toolkit
Toolset for efficient Redux development
The official, opinionated, batteries-included toolset for efficient Redux development. The Redux Toolkit package is intended to be the standard way to write Redux logic. It was originally created to help address main common concerns about Redux. We can't solve every use case, but in the spirit of create-react-app and apollo-boost, we can try to provide some tools that abstract over the setup process and handle the most common use cases, as well as include some useful utilities that will let... -
15
pi-autoresearch
Autonomous experiment loop extension for pi
...It is designed to simulate a continuous research loop where queries are generated, refined, and expanded based on previous outputs, enabling deeper exploration of complex topics. The system likely integrates with external data sources or APIs to retrieve information and process it into structured insights. Its architecture suggests a focus on autonomy, allowing it to run multi-step research pipelines that mimic human investigative processes. This makes it particularly useful for exploratory analysis, trend discovery, or generating structured knowledge from large information spaces. ... -
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Craft Agents
Work effectively with agents
...This repository extends the idea of “agents” by providing a user-friendly interface that integrates APIs, multitasking workflows, and session sharing so that you can easily orchestrate multiple AI interactions and retrieve context from your sources. With support for document connectivity and API integrations, it lets users supply their own data and tools into the agent workflows, enabling personalized automation and insight discovery. The project emphasizes flexibility and usability, surfacing key agent functionality through a responsive interface that works on major desktop platforms, including macOS, Windows, and Linux. -
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MCP Server Giphy
An implementation of Giphy integration with Model Context Protocol
The MCP Server Giphy is a Model Context Protocol (MCP) server that enables AI models to search, retrieve, and utilize GIFs from the Giphy platform. It facilitates seamless integration of Giphy's vast GIF library into AI applications, enhancing their expressive capabilities. -
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OpenMemory
Local long-term memory engine for AI apps with persistent storage
OpenMemory is a self-hosted memory engine designed to provide long-term, persistent storage for AI and LLM-powered applications. It enables developers to give otherwise stateless models a structured memory layer that can store, retrieve, and manage contextual information over time. OpenMemory is built around a hierarchical memory architecture that organizes data into semantic sectors and connects them through a graph-based structure for efficient retrieval. It supports multiple embedding strategies, including synthetic and semantic embeddings, allowing developers to balance speed and accuracy depending on their use case. ... -
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agent heroes
Generate, animate and schedule your AI characters
...It provides abstractions for defining agent behavior, communication patterns, and task execution pipelines, enabling developers to build systems that go beyond simple prompt-response interactions. The framework is designed to integrate with modern large language models and external APIs, allowing agents to access tools, retrieve data, and perform actions dynamically. It also supports modular design, making it possible to extend agent capabilities or swap components without redesigning the entire system. agentheroes is particularly useful for automation, workflow orchestration, and experimentation with collaborative AI systems. -
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Deep Research Web UI
AI-powered research assistant that performs iterative, deep research
Deep Research Web UI is an AI-powered research assistant interface designed to automate complex, multi-step information gathering workflows through a combination of search engines, web scraping, and large language models. It operates as a front-end system for deep research agents that iteratively refine queries, retrieve information from multiple sources, and synthesize structured outputs into coherent reports. The platform emphasizes long-horizon reasoning, allowing users to explore topics in depth rather than receiving shallow, single-response answers. Built with modern web technologies such as Vue and TypeScript, it provides a responsive interface for managing research sessions, tracking intermediate steps, and reviewing collected data. ... -
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Kong Konnect MCP
A Model Context Protocol server for interacting with Kong Konnect
...This server exposes Kong Konnect’s APIs through standardized MCP interfaces so that tools like conversational AI or agent systems can query analytics, inspect configuration, and manage Kong Gateway resources using natural language or programmable agents. By bridging MCP clients to Kong’s control plane, the project allows autonomous agents to retrieve data on traffic metrics, route definitions, services, plugins, and consumer settings without writing custom API integration code. It also groups tools into categories—such as analytics, configuration, and control plane management—to organize capabilities logically for AI workflows. -
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react-map-gl
React friendly API wrapper around MapboxGL JS
react-map-gl is a suite of React components designed to provide a React API for Mapbox GL JS-compatible libraries. More information is in the online documentation. Starting with v2.0, mapbox-gl requires a Mapbox token for any usage, with or without the Mapbox data service. See about Mapbox tokens for your options. To show maps from a service such as Mapbox you will need to register on their website in order to retrieve an access token required by the map component, which will be used to identify you and start serving up map tiles. The service will be free until a certain level of traffic is exceeded. ... -
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Xianyu Intelligent Monitor Bot
AI tool for real-time monitoring and analysis of Goofish listings
...It combines browser automation with AI-based analysis to automatically search, collect, and evaluate newly posted items that match a user’s purchase criteria. It uses Playwright to simulate real user interactions with the marketplace, allowing the system to retrieve product data and track updates in near real time. ai-goofish-monitor can run multiple monitoring tasks simultaneously, each configured with specific keywords, price ranges, and filtering conditions. A built-in web management interface allows users to create tasks, review results, and manage monitoring rules without relying solely on command line tools. ... -
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GitMCP
Turn any GitHub repository into an MCP documentation server for AI
GitMCP is an open source remote Model Context Protocol (MCP) server designed to transform GitHub repositories into structured documentation hubs that AI assistants can query directly. It enables developer-focused AI tools to access up-to-date project documentation and source code so that responses are grounded in real repository content rather than outdated training data. By exposing repository documentation and code through standardized MCP tools, GitMCP helps reduce incorrect or fabricated... -
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Reader LLM
Convert any URL to an LLM-friendly input with a simple prefix
Reader LLM is an open-source tool designed to convert web content into formats that are easier for large language models to process. The system works by transforming a webpage into a clean text or Markdown representation that removes unnecessary formatting and highlights the core information within the page. Developers can use a simple URL prefix to retrieve a version of a webpage that has been optimized for machine consumption, making it suitable for use in AI agents or retrieval-augmented...
