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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

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    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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  • 1
    holaOS

    holaOS

    An Open Agent Computer for ANY digital work

    holaOSc is an AI-native operating system concept designed to integrate intelligent agents directly into the core of the computing environment. It provides a framework where AI agents manage tasks, workflows, and interactions across applications. The system emphasizes seamless automation, allowing users to interact with their computer through natural language and high-level instructions. It integrates memory, context awareness, and task orchestration into a unified environment. The architecture is designed to support extensibility, enabling developers to add new capabilities and agents. It is particularly useful for creating fully automated workflows across digital systems. ...
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  • 2
    Matroska Server Mk2

    Matroska Server Mk2

    The streaming solution to end all streaming problems

    ...It supports handling large video files while maintaining smooth playback performance. The implementation emphasizes simplicity and ease of deployment. It is particularly useful for users who want a straightforward way to stream local video libraries. The server architecture is optimized for reliability and low overhead.
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  • 3
    PyLivestream

    PyLivestream

    Pure Python FFmpeg-based live video / audio streaming to YouTube

    PyLivestream is a Python-based tool that enables real-time video streaming from various input sources to platforms such as YouTube and Twitch. It acts as a wrapper around FFmpeg, allowing users to stream video from cameras, files, or screen capture devices with minimal configuration. The tool supports cross-platform operation and integrates easily into Python workflows, making it suitable for automation and scripting. It provides options for controlling streaming parameters such as bitrate, resolution, and codecs. PyLivestream is designed for reliability, handling streaming sessions with consistent performance across different environments. ...
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  • 4
    StreamPot

    StreamPot

    Run FFmpeg as an API with fluent-ffmpeg compatibility, queues and S3

    StreamPot is a self-hosted video processing platform that provides scalable media transcoding and streaming capabilities through a modern API-driven architecture. It enables users to upload video content, process it into multiple formats, and deliver it efficiently across different devices and network conditions. The system supports adaptive bitrate streaming, allowing videos to be optimized dynamically based on viewer bandwidth. It integrates FFmpeg as its core processing engine, enabling advanced encoding and transformation workflows. ...
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

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  • 5
    Nothing Ever Happens

    Nothing Ever Happens

    Focused async Python bot for Polymarket

    ...Its core concept is based on statistical observations that a majority of prediction market outcomes resolve negatively, and it attempts to exploit this base-rate bias through systematic participation rather than predictive modeling. The bot includes a safety-oriented design with explicit environment variable requirements to enable live trading, ensuring that users consciously opt into real financial risk, along with a paper trading mode for testing without capital exposure.
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  • 6
    Polymarket Data

    Polymarket Data

    Polymarket Data Retriever that fetches, processes, and structures data

    Polymarket Data is a comprehensive data engineering pipeline designed to collect, process, and structure trading activity from the Polymarket prediction market ecosystem into analyzable datasets. The system operates as a multi-stage pipeline that integrates data from both off-chain APIs and on-chain event sources, enabling users to reconstruct full trading activity including markets, order events, and executed trades. It begins by fetching market metadata such as questions, outcomes, and trading volumes, then proceeds to scrape order-filled events from a GraphQL-based subgraph, and finally transforms these raw events into structured trade-level records with calculated prices and directions. ...
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  • 7
    Dgrm.net

    Dgrm.net

    Flowchart editor

    ...It provides developers with tools to build flowcharts, graphs, and structured visual layouts using a flexible and extensible API. The library focuses on simplicity, allowing users to define nodes, edges, and relationships without requiring complex setup or dependencies. It supports dynamic updates, enabling diagrams to respond to user interactions or data changes in real time. The system is particularly useful for applications that require visual modeling, such as workflow editors, architecture diagrams, or educational tools. ...
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  • 8
    EmDash

    EmDash

    EmDash is a full-stack TypeScript CMS based on Astro

    ...It emphasizes modularity and extensibility, allowing developers to define custom content types, editing experiences, and workflows tailored to their needs. The system likely includes a rich editing interface, enabling users to create complex documents with structured data and formatting. It separates content from presentation, making it easier to reuse and distribute content across different platforms. The architecture supports integration with APIs and external services, enabling it to function as part of a larger content ecosystem. It is particularly useful for applications that require dynamic content management and scalable publishing workflows. ...
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  • 9
    macOS-Security-and-Privacy-Guide

    macOS-Security-and-Privacy-Guide

    Community guide to securing and improving privacy on macOS

    ...It covers a wide range of topics, including threat modeling, system configuration, encryption, networking, and application security. The guide is designed for both advanced users and beginners who want to adopt stronger security practices on their devices. It emphasizes a layered approach to security, highlighting that no single tool or technique can guarantee complete protection. The content includes step-by-step recommendations for configuring macOS features such as FileVault, firewalls, and system integrity protections. ...
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  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

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  • 10
    Cr3dOv3r

    Cr3dOv3r

    Know the dangers of credential reuse attacks

    Cr3dOv3r is a penetration testing and security auditing tool designed to demonstrate and analyze the risks associated with credential reuse across multiple online services. It allows users to input an email address and automatically checks for data breaches and leaked credentials using public databases. The tool then attempts to verify whether those credentials are reused across various popular platforms, highlighting potential vulnerabilities. It is primarily intended for educational and ethical security testing purposes, helping security professionals understand how attackers might exploit reused passwords. ...
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  • 11
    Hacking with Swift

    Hacking with Swift

    The project source code for Hacking with iOS

    ...Each project is designed to reinforce specific concepts such as UI design, data handling, animations, and app architecture. The material emphasizes hands-on learning, encouraging users to build real applications rather than passively consume theory. It is continuously updated to align with the latest versions of Swift, Xcode, and iOS, ensuring relevance for modern development practices.
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  • 12
    CommunityScrapers

    CommunityScrapers

    This is a public repository containing scrapers

    ...The repository contains hundreds of scraper definitions written primarily in YAML and Python, each tailored to extract structured metadata such as titles, performers, tags, and media details from specific websites. These scrapers integrate directly into Stash, allowing users to enrich their media libraries with accurate and detailed information without manual entry. The project supports both automatic installation through in-app feeds and manual configuration for advanced use cases. Some scrapers require additional configuration such as API keys or cookies, highlighting its flexibility and adaptability to different sources.
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  • 13
    Agent Auth Protocol

    Agent Auth Protocol

    Standard and implementation for AI agent authentication

    ...Built alongside the broader Better Auth framework, it integrates with a comprehensive authentication system that supports features like OAuth, multi-factor authentication, and session management. The protocol focuses on enabling secure interactions in environments where automated agents act on behalf of users or systems, requiring robust identity verification and permission handling. It aligns with modern authentication standards and is intended to work seamlessly with APIs, distributed systems, and AI-driven workflows.
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  • 14
    One-Person Company

    One-Person Company

    One-Person Company AI Tools Series

    ...The repository includes workflows, strategies, and system designs that demonstrate how multiple AI agents can collaborate to run different aspects of a business in a coordinated manner. It emphasizes modularity, allowing users to combine different tools and services into a cohesive pipeline that automates end-to-end business processes. The project also highlights the importance of integrating APIs, automation tools, and AI models to create self-sustaining systems that can generate revenue with minimal oversight.
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  • 15
    AI-Crawler

    AI-Crawler

    Crawl a website starting from a URL, find relevant pages

    ...Unlike traditional web scrapers that rely on static selectors and manual scripting, it uses AI to dynamically identify and prioritize pages based on user intent, making it more flexible and resilient to changes in website structure. Users can define their data requirements in plain English, and the system will interpret those instructions to crawl a domain and extract structured data. The tool supports output formats such as JSON and Markdown, and it can generate or accept schemas to ensure that extracted data is structured according to application needs. It is designed as a low-code solution, reducing the complexity of building and maintaining custom scraping pipelines.
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  • 16
    TTime

    TTime

    Screenshots, word marking, OCR, AI, translation software

    TTime is a desktop productivity tool that combines translation, OCR, and screen capture capabilities into a unified application designed for fast and efficient text processing workflows. It allows users to translate text through multiple methods, including direct input, screenshot-based capture, and real-time word selection, making it versatile for both casual use and professional tasks. The software integrates a wide range of translation engines and OCR services, including cloud-based providers and offline options, ensuring flexibility across different environments and connectivity conditions. ...
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  • 17
    VIPER

    VIPER

    AI-powered red team platform for adversary simulation toolkit

    ...It integrates a wide range of tools and capabilities required for penetration testing, post-exploitation, and attack simulation workflows into a unified environment. Viper emphasizes ease of use through a graphical interface, allowing users to manage complex operations without relying solely on command-line tools. It includes a large collection of built-in modules that cover multiple stages of the MITRE ATT&CK framework, enabling realistic and structured attack simulations. Viper also incorporates automation features and workflow orchestration, helping teams streamline repetitive tasks and maintain continuous monitoring of target environments. ...
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  • 18
    RL with PyTorch

    RL with PyTorch

    Clean, Robust, and Unified PyTorch implementation

    ...It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL approaches. The repository is structured so that users can easily experiment with different algorithms and training environments. Many examples demonstrate how agents learn to interact with simulated environments through trial and error using reinforcement learning principles. The codebase emphasizes clarity and modular design so that researchers can extend the implementations or use them for experimentation and benchmarking.
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  • 19
    OpenUI

    OpenUI

    OpenUI let's you describe UI using your imagination

    OpenUI is an experimental open-source interface generator that allows developers to describe user interfaces in natural language and instantly render them visually. The project aims to accelerate UI prototyping by combining generative AI with modern frontend tooling. Users can iteratively refine designs through conversational prompts and convert generated layouts into frameworks like React or Web Components. OpenUI supports multiple model providers through LiteLLM, making it flexible across different AI ecosystems. The system is designed both as a practical prototyping tool and as a research platform for building next-generation AI-powered developer experiences. ...
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  • 20
    HackerRepo.org

    HackerRepo.org

    Collection of cybersecurity-related references, scripts, tools, code

    ...It spans both offensive and defensive security topics, including exploit development, threat hunting, reverse engineering, AI security, and bug bounty methodologies. The repository is continuously maintained and categorized into specialized directories so users can quickly locate relevant learning material or utilities. Rather than being a single tool, it functions as an extensive reference library that supports skill development across the entire cybersecurity lifecycle. Overall, h4cker serves as a comprehensive open knowledge repository for practitioners building or expanding professional security expertise.
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  • 21
    i.am.ai

    i.am.ai

    Roadmap to becoming an Artificial Intelligence Expert in 2022

    ...The roadmap emphasizes foundational skills like mathematics, programming, and data handling before progressing into deep learning and specialized domains. Rather than prescribing a single path, it helps users navigate the AI landscape and understand which tools fit different scenarios. Overall, the repository serves as a high-level strategic learning map for individuals planning long-term AI careers.
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  • 22
    Fish Skin AI Knowledge Base

    Fish Skin AI Knowledge Base

    Programmer Fish Skin's AI Resource Guide

    ...It combines beginner-friendly introductions with advanced guides on context management, hallucination mitigation, and production-quality code practices. The repository also includes hands-on project tutorials that walk users from zero to deployable AI products across multiple application types. Beyond technical implementation, it provides guidance on productization, monetization strategies, SEO, and content growth for AI-powered products.
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  • 23
    GitNexus

    GitNexus

    Zero-Server Code Intelligence Engine

    ...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 agent that helps users explore and understand complex repositories through intelligent navigation and querying. Because the system runs client-side, it emphasizes privacy and portability without requiring backend infrastructure. Overall, GitNexus is designed for developers, code reviewers, and AI tooling builders who need fast, visual codebase comprehension.
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  • 24
    InterviewGuide

    InterviewGuide

    Repository that collects extensive computer science

    ...The repository contains curated algorithm and data structure explanations, collections of interview questions, high-frequency topics, and practical problem-solving guides to help users brush up on skills that are often tested in technical interviews.
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  • 25
    HARPOON 2

    HARPOON 2

    Getting you where you want with the fewest keystrokes

    HARPOON 2 is a highly popular Neovim plugin created by ThePrimeagen that enhances editor navigation by letting users mark and quickly jump to frequently used files and terminals within their Neovim workflow. Unlike traditional global marks in Vim, Harpoon’s marks are per-project and automatically updated, meaning they follow files even as content changes, which streamlines switching between contextually relevant files during development. It comes with an intuitive menu system that lists marked files and offers commands to add, remove, or navigate to those files with minimal keystrokes. ...
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