Showing 3 open source projects for "model-builder"

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    MongoDB Atlas runs apps anywhere

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    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.
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    Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure

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    Design OS

    Design OS

    The missing design process between your product idea and your codebase

    Design OS is an open-source product planning and UI design framework that sits at the intersection of design thinking and generative AI, guiding creators through a repeatable process from product idea to structured design deliverables. It fills what the maintainers describe as the “missing design process” in AI-first development, helping users define product visions, model data, map user flows, and lay out interfaces before a coding agent begins implementation. The tool is poised to produce production-ready UI components and artifacts that any AI coding tool can consume, encouraging a disciplined front-to-backend workflow that avoids disjointed, reactive design prompts. Design OS emphasizes clarity of intent, consistency of design systems, and exporting usable components rather than just static mockups, which aligns better with automated build pipelines and agent-driven development.
    Downloads: 2 This Week
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  • 2
    sealos

    sealos

    Sealos is a production-ready Kubernetes distribution

    A Cloud Operating System designed for managing cloud-native applications. Sealos['siːləs] is a cloud operating system distribution based on the Kubernetes kernel. Using the cloud like using a personal computer, reducing the cost of the cloud to 1/10 of the original.
    Downloads: 10 This Week
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  • 3

    SynquoRum

    Multi-AI workspace with persistent cross-session memory via MCP

    SynquoRum is a multi-AI workspace for people who use multiple language models daily and are tired of fragmented context when switching tools. Most AI products treat memory as belonging to the model. Every new session starts from zero. SynquoRum inverts this: memory belongs to the workspace, not to any specific agent. Through an MCP (Model Context Protocol) server with 22 tools, the workspace exposes its memory to any MCP-compatible client — Claude.ai, Cursor, Cline, custom agents — so the same context follows you across providers and sessions. ...
    Downloads: 0 This Week
    Last Update:
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