Showing 4 open source projects for "lightweight scripting language"

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    Error to trace to log to deploy. One click. No SSH.

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  • 1
    MarkItDown

    MarkItDown

    Python tool for converting files and office documents to Markdown

    MarkItDown is a lightweight Python utility developed by Microsoft for converting various files and office documents to Markdown format. It is particularly useful for preparing documents for use with large language models and related text analysis pipelines. ​
    Downloads: 81 This Week
    Last Update:
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  • 2
    K8M

    K8M

    Mini Kubernetes AI Dashboard

    An AI-driven Mini Kubernetes Dashboard designed to simplify cluster management, offering a lightweight console tool with integrated large language model capabilities for enhanced operational efficiency. ​
    Downloads: 0 This Week
    Last Update:
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  • 3
    AWS MCP Servers

    AWS MCP Servers

    Helping you get the most out of AWS, wherever you use MCP

    AWS MCP Servers are a collection of remotely hosted, fully-managed Model Context Protocol (MCP) servers by AWS, providing AI applications with real-time access to AWS documentation, API references, best practices, and infrastructure-management capabilities via natural-language workflows. An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol. Host applications (such as chatbots, IDEs, and other AI tools) have MCP clients that maintain 1:1 connections with MCP servers. Common MCP clients include agentic AI coding assistants (like Q Developer, Cline, Cursor, Windsurf) as well as chatbot applications like Claude Desktop, with more clients coming soon. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    MCP Shrimp Task Manager

    MCP Shrimp Task Manager

    Shrimp Task Manager is a task tool built for AI Agents

    Shrimp Task Manager is an MCP server that converts natural-language requests into structured development tasks with dependencies, status, and style/format rules—built for agents that reason step-by-step. It emphasizes chain-of-thought and reflection loops, allowing an assistant to plan, refine, and re-prioritize work like a human project assistant. The server exposes typed tools so clients can create tasks, link prerequisites, record progress, and enforce writing or coding standards for...
    Downloads: 0 This Week
    Last Update:
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