Showing 2 open source projects for "string editor ai"

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  • A privacy-first API that predicts global consumer preferences Icon
    A privacy-first API that predicts global consumer preferences

    Qloo AI adds value to a wide range of Fortune 500 companies in the media, technology, CPG, hospitality, and automotive sectors.

    Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things.
    Learn More
  • Cloudbrink Personal SASE service Icon
    Cloudbrink Personal SASE service

    For companies looking for low maintenance, secure, high performance connectivity for hybrid and remote workers

    Cloudbrink’s Personal SASE is a high-performance connectivity and security service that delivers a lightning-fast, in-office experience to the modern hybrid workforce anywhere. Combining high-performance ZTNA with Automated Moving Target Defense (AMTD), and Personal SD-WAN all connections are ultra-secure.
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    Rivet

    Rivet

    Visual AI IDE for building agents with prompt chains and graphs

    Rivet is an open source visual AI programming environment designed to help developers build complex AI agents using a node-based interface and prompt chaining workflows. It provides a desktop application that allows users to visually construct and debug AI logic as interconnected graphs, making it easier to manage sophisticated interactions between language models and external tools. Rivet also includes a TypeScript library that enables these visual graphs to be executed and integrated...
    Downloads: 1 This Week
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  • 2
    Clj-kondo

    Clj-kondo

    A linter for Clojure code that sparks joy

    A linter for Clojure code that sparks joy. Clj-kondo performs static analysis on Clojure, ClojureScript and EDN, without the need of a running REPL. It informs you about potential errors while you are typing. To detect lint errors across namespaces in your project, a cache is needed. To let clj-kondo know where to create one, make a .clj-kondo directory in the root of your project, meaning on the same level as your project.clj, deps.edn or build.boot. A cache will be created inside of it...
    Downloads: 0 This Week
    Last Update:
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