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Showing 58852 open source projects for "users"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Advanced Copy
A patch for GNU Core Utilities cp, mv to add progress bars
advcpmv is a command-line utility designed to enhance the traditional cp, mv, and rm commands with advanced safety and user interaction, making file operations less error-prone and more informative for users working in terminal environments. Instead of blindly copying, moving, or removing files, advcpmv adds features like progress displays, confirmation prompts, intelligent conflict resolution, and smart skipping of identical files, giving users greater transparency and control over batch operations. The interface maintains the familiar syntax of the classic Unix utilities while augmenting it with options that help prevent accidental data loss—such as asking before overwriting or deleting, comparing file hashes, and showing predicted outcomes. ... -
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awsm.fish
A curation of prompts, plugins & other Fish treasures
...Designed to fit naturally into Fish’s syntax and philosophy, awsm.fish aims to make the shell more approachable for beginners while still providing productivity-boosting tools for seasoned users. -
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OpenMLSys-ZH
Machine Learning Systems: Design and Implementation
Users can browse or clone the translated documentation to follow along with the original content, deploy examples, or understand system internals in their preferred language. -
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Movim
Movim - Decentralized social platform
...Movim relies on the XMPP standard and therefore allows you to exchange with many other clients on all devices such as Conversations (Android) or Dino (Desktop). You can easily access and explore the content of the whole network and connect with all other Movim users instantly. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Katib
Automated Machine Learning on Kubernetes
...Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is a project that is agnostic to machine learning (ML) frameworks. It can tune hyperparameters of applications written in any language of the users’ choice and natively supports many ML frameworks, such as TensorFlow, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom Resources with out-of-the-box support for Kubeflow Training Operator, Argo Workflows, Tekton Pipelines, and many more. -
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Hop Monorepo
Hop monorepo
...Using TypeScript, babel, webpack). Import as commonJS module (e.g. Using Node.js directly or no ES6 modules). Supported network is only mainnetat the moment. As a trustless bridge, Hop allows users to force exit their tokens in the rare event where Bonders (market makers) don’t bond a user’s transfer fast enough. Hop offers users a fallback option to withdraw their tokens manually at the destination chain albeit not as fast as it would arrive in a normal transfer involving a fully functioning Bonder. In order to withdraw, the Transfer Root bundle containing the proof of your transaction must be propagated to the destination, and this could take a few hours or days depending on the asset and route, so withdrawing immediately after sending won't work. -
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RainbowKit
The best way to connect a wallet
...RainbowKit provides a fast, easy, and highly customizable way for developers to add a great wallet experience to their applications. We handle the hard stuff so developers and teams can focus on building amazing products and communities for their users. Building RainbowKit has been an incredibly fun effort with many people at Rainbow and our friends at other companies. We're always looking to make RainbowKit better, so please let us know how we can improve. -
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BlenderMCP
Blender Model Context Protocol Integration
BlenderMCP is a bridge that connects Blender, a 3D modeling and rendering software, with AI systems like Claude through the Model Context Protocol, enabling direct AI-driven interaction with 3D environments. It allows users to control Blender using natural language prompts, effectively turning AI into a co-creator for 3D modeling, scene construction, and asset manipulation. The system establishes a two-way communication channel between Blender and the AI, where commands can be sent and results retrieved in real time. It includes features for object manipulation, material editing, and scene inspection, giving the AI deep control over the modeling environment. ... -
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Gemini MCP Tool
MCP server that enables AI assistants to interact with Google Gemini
...The system takes advantage of Gemini’s large context window, enabling deeper analysis of extensive datasets that might otherwise exceed the limits of other models. It supports workflows where users can reference files or directories using simple syntax, allowing the AI to process entire projects or documents in a single request. The tool also includes sandbox execution features, which allow safe testing of code or commands in an isolated environment without affecting the host system. -
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ALLWEONE
AI tool that generates custom presentations with real-time editing
Presentation AI by ALLWEONE is an open source tool that uses artificial intelligence to generate complete slide decks from a simple prompt. It helps users create professional presentations quickly, with support for customizable themes, layouts, and styles. You can define slide count, language, and tone, then review or edit the AI-generated outline before finalising. Slides are built in real time, allowing you to watch content develop as the system works. Presentation AI by ALLWEONE includes image generation, rich text editing, and drag-and-drop functionality for easy adjustments. ... -
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Rivet
Visual AI IDE for building agents with prompt chains and graphs
Rivet is an open source visual AI programming environment designed to help developers build complex AI agents using a node-based interface and prompt chaining workflows. It provides a desktop application that allows users to visually construct and debug AI logic as interconnected graphs, making it easier to manage sophisticated interactions between language models and external tools. Rivet also includes a TypeScript library that enables these visual graphs to be executed and integrated directly into applications, bridging the gap between prototyping and production use. ... -
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Learn PyTorch for Deep Learning
Materials for the Learn PyTorch for Deep Learning
...The materials include Jupyter notebooks, explanations of core deep learning concepts, and step-by-step demonstrations of building and training neural networks. Throughout the lessons, users learn how to work with tensors, create neural network architectures, manage training workflows, and evaluate model performance. -
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MemoryOS
MemoryOS is designed to provide a memory operating system
...These layers typically include short-term memory for immediate conversation context, mid-term memory for topic-level grouping, and long-term personal memory for persistent knowledge about users or tasks. The system dynamically updates and promotes information between these layers using structured algorithms that prioritize relevance and recency. -
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BuildingAI
Build your own AI application system for free
...The project is intended for architects, engineers, and developers exploring how AI can automate or augment design workflows in the architecture, engineering, and construction industries. It supports interactions where users describe building features, layouts, or modifications in natural language and the AI translates those instructions into actionable design operations. -
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Domain Digger
Domain analysis toolkit for DNS, IP, and WHOIS lookups
Domain Digger is an open source toolkit designed to help users analyze and explore domain-related information in a structured and visual way. It provides a centralized interface for investigating various technical details associated with a domain, including DNS records, IP information, and WHOIS data. By combining several domain intelligence features into a single platform, it simplifies the process of gathering and understanding domain infrastructure details. -
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Agent Chat UI
Web app for interacting with any LangGraph agent (PY & TS) via a chat
Agent Chat UI is an open-source web application that provides a graphical interface for interacting with AI agents built using LangGraph and related frameworks. The project is implemented as a modern Next.js application and allows users to chat with agent workflows running on remote or local LangGraph servers. Through a simple configuration process, developers can connect the interface to a deployed agent by specifying the server URL, assistant identifier, and authentication credentials. Once connected, the interface enables real-time conversations where messages are sent to the agent and responses are streamed back to the chat interface. ... -
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DocETL
A system for agentic LLM-powered data processing and ETL
...Instead of relying on single prompts or ad-hoc scripts, DocETL provides a declarative pipeline framework that breaks complex document analysis tasks into manageable operations that can be optimized and orchestrated automatically. Pipelines are typically defined using a low-code YAML interface, giving users full control over prompts and processing steps while still simplifying workflow creation. -
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FireRed-Image-Edit
General-purpose image editing model that delivers high-fidelity
...It is built on a flexible text-to-image foundation model that has been extended with training paradigms including pretraining, supervised fine-tuning, and reinforcement learning to imbue the system with strong instruction following and editing consistency. The model excels in maintaining visual and text stylistic fidelity, allowing users to preserve the original artistic qualities of an image while applying creative changes according to natural language instructions. In addition to editing single images, FireRed supports multi-image editing scenarios such as virtual try-on or batch transformations, making it suitable for both creative and practical workflows. -
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claude-code-transcripts
Tools for publishing transcripts for Claude Code sessions
...It is designed to make the often dense and verbose outputs from AI coding sessions easier to read, share, and archive by breaking conversations into paginated, annotated pages with navigable timelines of prompts and responses. Users can run this tool locally or fetch sessions from the Claude API, giving flexibility for individual workflows or team documentation practices. The generated HTML includes interactive navigation and can optionally be published to GitHub Gists for sharing with collaborators or embedding in other documentation. It also supports including the raw session JSON alongside the transcript for forensic or archival purposes. -
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Interface Design
Design engineering for Claude Code
...It’s built around the idea that when building UI (dashboards, apps, admin panels), design decisions like spacing, colors, depth, and component patterns can drift over time, so Interface-Design captures and stores those decisions in a system MD file that’s loaded automatically each session. The plugin prompts users to confirm a design direction early in the process and then applies those principles consistently — from button sizes to spacing scales and color tokens — so work stays aligned with the established system. It also offers commands to inspect the current design system status, audit inconsistencies, and extract patterns back into a reusable format, making it a live feedback loop for quality UI work. -
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OCRBase
MD/.JSON Document OCR and structured data extraction API
...The core output is designed for downstream automation, producing structured results like JSON according to user-defined schemas while also providing readable formats like Markdown for human review or indexing. It includes real-time job progress updates via WebSockets, which makes it easier to integrate into UIs, dashboards, or ingestion systems where users need feedback on long-running document processing. -
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FinGPT
Open-Source Financial Large Language Models
...It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports. -
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Menubar Electron
High level way to create menubar desktop applications with electron
...It serves as a wrapper around frameworks like Electron or Node GUI backends, abstracting common tasks such as positioning the popup window, handling click events, and integrating native tray interactions without writing platform-specific code. The library makes it easy to build cross-platform utilities like clipboard managers, quick note popups, status displays, or background tools that users access from the bar icon without filling taskbars or docks. menubar handles the lifecycle of the UI window, system tray icon, and related events so developers can focus on the application logic rather than boilerplate integration. -
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Lidarr
Looks and smells like Sonarr but made for music
...The tool also supports quality upgrades: if a better version of a track becomes available (for example, a lossless format), Lidarr can automatically fetch and replace lower-quality files, saving you manual effort. Integrated with many popular download clients and indexers, users can customize how Lidarr interacts with their existing setup for optimized automation. Built with a user-friendly web interface, it works cross-platform on Windows, macOS, Linux, and NAS systems, and can also run as a Docker service for containerized environments. -
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GPT-5 Coding Examples
GPT-5 coding examples
...The collection highlights GPT-5’s strengths in scaffolding websites, front-end applications, games, and interactive UIs directly from natural-language instructions. Each demo illustrates how developers and non-developers alike can bootstrap functional projects by describing their ideas in plain English. The repository allows users to explore examples locally or through a hosted version, where they can view prompts, inspect generated code, and remix projects. It also provides guidance for experimenting with GPT-5 in different workflows — from using the Codex CLI for terminal-based automation, to integrating with IDEs, to leveraging ChatGPT’s browser-based code generation and preview. ...