Showing 2 open source projects for "full stack framework"

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  • Auth0 for AI Agents now in GA Icon
    Auth0 for AI Agents now in GA

    Ready to implement AI with confidence (without sacrificing security)?

    Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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    Actionhero

    Actionhero

    Actionhero is a realtime multi-transport nodejs API server

    The reusable, scalable, and Quick node.js API server for stateless and stateful applications. No matter what you are building, Actionhero is here to save the day. The action hero framework is one of the fastest ways to get started with a REST API - Routes, Versions, Testing, and Translation tool are all included. Actionhero's small footprint and stateful server options make it ideal for IOT applications whereas much logic as possible is offloaded to the server. Actionhero includes all the...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Darknet YOLO

    Darknet YOLO

    Real-Time Object Detection for Windows and Linux

    This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region. This project is a fork of the original Darknet project.
    Downloads: 27 This Week
    Last Update:
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