Showing 3 open source projects for "private cloud"

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  • $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.
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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.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 1
    ODS

    ODS

    Turn your PC, Mac, or Linux box into an AI server.

    ODS, or Osmantic Deployment System, turns a Windows, macOS, or Linux computer into a private AI server. Its installer detects available hardware, selects an appropriate local model, generates credentials, and launches a prewired service stack. The platform combines local model inference with a browser chat interface and a dashboard for managing models, services, GPUs, and extensions. It also integrates agents, voice, workflows, RAG, private search, and image generation. ...
    Downloads: 20 This Week
    Last Update:
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  • 2
    Flowly AI

    Flowly AI

    Flowly is 100x faster than OpenClaw

    ...Overall, it provides a powerful, extensible, and privacy-focused alternative to cloud-based AI assistants.
    Downloads: 5 This Week
    Last Update:
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  • 3
    CodinIT.dev

    CodinIT.dev

    Free, local, open-source AI app builder

    CodinIT.dev is a free, local, open source AI app builder that lets you go from idea to full-stack application entirely on your machine, no coding required, just chat with AI. You can build unlimited apps with real-time previews, instant undo, and responsive, frictionless workflows. Deep Supabase integration means you can create UI and backend logic in one cohesive environment, while the model-agnostic architecture lets you connect to any AI, whether cloud-based (Gemini 3 Pro, GPT-5,...
    Downloads: 24 This Week
    Last Update:
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