Showing 4 open source projects for "natural language processing"

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  • 1
    Goose

    Goose

    AI coding agent that's more than suggestions - install, execute, edit+

    Goose is an open-source, extensible AI agent that enhances the software development process by going beyond traditional code suggestions. It allows developers to install, execute, edit, and test code with any large language model (LLM), facilitating a more efficient and streamlined workflow. Designed to operate locally within a developer's environment, Goose integrates seamlessly with various tools and platforms, providing a customizable and powerful assistant for coding tasks. Its...
    Downloads: 330 This Week
    Last Update:
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  • 2
    Kaku

    Kaku

    A fast, out-of-the-box terminal built for AI coding

    ...The app includes common developer shortcuts for tabs, windows, panes, settings, lazygit, file management, screen clearing, and AI-related actions. Kaku also includes an assistant mode that can help with automatic error recovery and natural-language command generation. It is designed for developers who use terminal-based AI coding agents and want a terminal that supports that workflow directly. Its main value is combining a polished terminal experience with shortcuts and behaviors tuned for modern AI-assisted development.
    Downloads: 0 This Week
    Last Update:
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  • 3
    bloop

    bloop

    bloop is a fast code search engine written in Rust

    Bloop is an AI-powered code search tool designed to help developers quickly find relevant code snippets, documentation, and usage examples within large repositories. It provides natural language search capabilities and AI-enhanced recommendations for improving code discovery.
    Downloads: 4 This Week
    Last Update:
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  • 4
    Amazon Q Developer CLI

    Amazon Q Developer CLI

    Chat experience in your terminal

    Amazon Q Developer CLI brings an agentic, chat-driven coding assistant to your terminal so you can ask for help, generate code, and perform routine dev tasks with natural language. It blends knowledge of your local workspace with command-line context to suggest commands, explain flags, and scaffold files or workflows. The tool aims to shorten the gap between intent and action by letting you request operations like creating a test, refactoring a function, or drafting a Dockerfile without leaving the shell. ...
    Downloads: 3 This Week
    Last Update:
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