Showing 29 open source projects for "assembly source code"

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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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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

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  • 1
    Forum Plus! is a project which involves the developent of an ASP based bulletin board. Completely written from scratch to ensure maximum performance and a comprehensible code, the forum is gradually improving every day.
    Downloads: 2 This Week
    Last Update:
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  • 2
    A wiki which is reprogrammable by its community. Allows the wiki community to collaboratively edit the wiki source code in a similar way to how they write the textual content. Project activity mode: coma ( http://bayleshanks.com/pamv1 )
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Geeklog Experemential Code and Plugins is for testing the bounds of possiblity with the geeklog code base as well as experemential versions of modified plugins that may be avaliable elsewhere. One focus is the Addicti0n experemential fork of Geeklog.
    Downloads: 0 This Week
    Last Update:
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  • 4
    FoxFe Story Server is a collection of code comprised of a backend story server, a few frontend clients, and some intermediate code to allow the development of custom clients as needed.
    Downloads: 0 This Week
    Last Update:
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  • Stop vibe-debugging. Icon
    Stop vibe-debugging.

    Plug Claude into your app's actual errors.

    AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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