Showing 2 open source projects for "context"

View related business solutions
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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.
    Start Free
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • 1
    HyperFrames

    HyperFrames

    Write HTML. Render video. Built for agents

    HyperFrames is a framework developed by HeyGen that focuses on generating and managing structured, dynamic content experiences powered by AI. It introduces the concept of “frames,” which represent modular units of content that can be dynamically composed and rendered based on context or user interaction. The system is designed to enable highly interactive and personalized experiences, particularly in applications such as video generation, storytelling, and user interfaces. It supports integration with AI models to generate or modify content within these frames, allowing real-time adaptation. The framework emphasizes composability, enabling developers to build complex experiences by combining smaller units. ...
    Downloads: 22 This Week
    Last Update:
    See Project
  • 2
    aws-lambda-ffmpeg

    aws-lambda-ffmpeg

    An S3-triggered Amazon Web Services Lambda function

    aws-lambda-ffmpeg is a project that enables running FFmpeg within AWS Lambda environments, allowing serverless media processing workflows. It packages FFmpeg binaries and provides examples of how to execute video and audio processing tasks in a serverless context. The system allows users to perform operations such as transcoding, resizing, and format conversion without managing dedicated servers. It leverages cloud storage services like S3 for input and output handling, enabling scalable processing pipelines. The project demonstrates how to overcome Lambda limitations such as execution time and storage constraints. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next