Showing 4 open source projects for "runtime"

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  • Auth0 for AI Agents now in GA Icon
    Auth0 for AI Agents now in GA

    Ready to implement AI with confidence (without sacrificing security)?

    Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
    Start building today
  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    R.swift

    R.swift

    Autocompleted resources like images, fonts & segues in Swift projects

    ...It makes your code that uses resources to be fully typed, less casting and guessing what a method will return. Compile time checked, no more incorrect strings that make your app crash at runtime. Autocompleted, never have to guess that image name again. For autocompleted images, and compiletime checked images. After installing R.swift into your project you can use the R-struct to access resources. If the struct is outdated just build and R.swift will correct any missing/changed/added resources. Runtime validation with R.validate() ff all images used in storyboards and nibs are available, if all named colors used in storyboards and nibs are available, if all view controllers with storyboard identifiers can be loaded, if all custom fonts can be loaded.
    Downloads: 2 This Week
    Last Update:
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  • 2
    jul-comments

    jul-comments

    JCS - JUL Comment System

    JCS - JUL Comment System is a way of documenting your JavaScript source code while keeping the comments in a separate file. It allows you to associate the comments to any version of the source code and to get the updated commented code. Also, JCS is able to generate and to document the code for an entire JavaScript namespace or DOM tree loaded by a web page. System requirements / Download the desktop app OR: * a CSS2.1 compliant web browser with JavaScript 1.5 or later engine *...
    Downloads: 0 This Week
    Last Update:
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  • 3
    TypeWiz

    TypeWiz

    Automatically discover and add missing types in your TypeScript code

    Manually adding types to your codebase can be a daunting task, especially given how much room there is for errors. It’s true that in some cases, the types will be obvious by just reading the code. But when I was adding types to a big project I inherited recently, I found myself actually running the code and setting a breakpoint inside a function to figure out the types that were being passed to it. This gave me an idea: build a tool that does this automatically and much faster, and then call...
    Downloads: 0 This Week
    Last Update:
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  • 4
    chex4j
    Chex4j allows you to document and enforce @pre and @post conditions of method calls with runtime or build time class file instrumentation. Conditions run as fast as normal code.
    Downloads: 0 This Week
    Last Update:
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  • Total Network Visibility for Network Engineers and IT Managers Icon
    Total Network Visibility for Network Engineers and IT Managers

    Network monitoring and troubleshooting is hard. TotalView makes it easy.

    This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
    Learn More
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