Showing 4 open source projects for "ai coding model"

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    MongoDB Atlas runs apps anywhere

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  • 1
    Goose AEO

    Goose AEO

    AEO tracking toolkit (CLI + dashboard) built for AI agents like Claude

    Goose AEO is an AI agent orchestration framework focused on automating engineering operations and workflows through autonomous agents. It builds on the concept of local AI agents that can execute complex tasks such as writing code, debugging, managing pipelines, and interacting with APIs without continuous human supervision. The system is designed to be extensible and adaptable, allowing developers to integrate different language models and configure multi-agent workflows tailored to...
    Downloads: 0 This Week
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  • 2
    MemFree

    MemFree

    Hybrid AI Search Engine & AI Page Generator

    memfree is an open source hybrid AI search engine and page generation platform designed to help users retrieve information from both personal knowledge bases and the public web through a unified interface. The project combines retrieval-augmented search with AI summarization to deliver concise answers instead of forcing users to manually sift through multiple sources. It supports multiple AI models and search providers, enabling flexible configuration depending on cost, performance, or...
    Downloads: 0 This Week
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  • 3
    NSFW Filter

    NSFW Filter

    Google Chrome extension that blocks NSFW images

    A Google Chrome extension that blocks NSFW images from the web pages that you load using TensorFlow JS. NSFW Filter web extension blocks NSFW content using AI. NSFW Filter allows you to block inappropriate, Not-Safe-For-Work content, protecting you online. A browser extension that blocks NSFW images from the web pages that you load using TensorFlowJS. When a web page is loaded, all the images remain hidden until they are found to be NSFW or not. If they are found to be NSFW, they remain...
    Downloads: 3 This Week
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  • 4
    Browserless

    Browserless

    Deploy headless browsers in Docker

    ...The project also provides REST APIs for common automation tasks such as screenshots, PDF generation, scraping, crawling, and content export. Browserless is useful for teams that need scalable browser execution for testing, data collection, rendering, or AI-agent browsing workflows. Its deployment model supports self-hosting, private infrastructure, queues, concurrency controls, and enterprise-oriented configuration. The project’s main value is turning browser automation into a managed service layer that can be reused across applications and workflows.
    Downloads: 3 This Week
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  • Build Securely on Azure with Proven Frameworks Icon
    Build Securely on Azure with Proven Frameworks

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