• Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    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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  • 1
    XHS-Downloader

    XHS-Downloader

    GUI/CLI tool for downloading Xiaohongshu

    XHS-Downloader is a GUI/CLI tool for downloading Xiaohongshu (Little Red Book) content without watermarks, supporting both graphics and video posts. Prebuilt packages for Windows and macOS are available from Releases and GitHub Actions artifacts, so most users can run it by unzipping and launching the included executable. The project offers two execution paths—run the compiled app or run from source—and documents default download and configuration paths to simplify first use. Recent releases add format support like JPEG and HEIC, clipboard-listening mode improvements, author-based archiving, SOCKS/HTTP proxy options, and the ability to set the file’s modification time to the post’s publish time for cleaner library organization. ...
    Downloads: 7 This Week
    Last Update:
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  • 2
    mcp-server-chatsum

    mcp-server-chatsum

    Query and Summarize your chat messages

    mcp-server-chatsum is an MCP server that indexes your chat history and provides tools to query and produce focused summaries on demand. It offers a simple flow: point the server at a local chat database, run the companion chatbot to ingest messages, and then use the MCP tool to retrieve scoped threads and generate concise syntheses. The tool design lets agents filter by participants, time ranges, or keywords before summarizing, which keeps outputs relevant and reduces hallucinated context. Documentation provides a “before you start” checklist to initialize the dataset and highlights the single tool (query_chat_messages) that returns results and summaries. ...
    Downloads: 0 This Week
    Last Update:
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