Showing 2 open source projects for "atom-project"

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    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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    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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    Sidekick

    Sidekick

    Bare metal to production ready in mins; your own fly server

    ...It provides a responsive interface where users can interact with AI to draft content, ask questions about projects, summarize lengthy text, and generate ideas or outlines, effectively serving as an intelligent extension of traditional productivity tools. Sidekick also includes structured tools like lists, reminders, and project folders so that users can combine generative assistance with tangible organizational frameworks. It supports connectivity with external data sources or APIs so that information can be pulled in contextually, helping to ground AI responses in user-specific content when available. Emphasizing simplicity and modularity, the platform lets users customize the assistant’s behavior, connect plugins, or adjust workflows to match personal styles.
    Downloads: 5 This Week
    Last Update:
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  • 2
    Lab

    Lab

    Get up and running with Jenkins on Google Kubernetes Engine

    ...It walks developers through the process of automating software delivery by integrating source control, build systems, containerization, and deployment orchestration into a unified workflow. The project leverages Google Kubernetes Engine to manage containerized applications and uses Jenkins pipelines to define and execute build and deployment processes declaratively. It illustrates how to deploy applications using Kubernetes primitives such as deployments, services, ingress, and secrets, enabling scalable and resilient microservices architectures. ...
    Downloads: 0 This Week
    Last Update:
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