Showing 4 open source projects for "kiro linux"

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  • 1
    Kiro

    Kiro

    Kiro is an agentic IDE that works alongside you from prototype

    Kiro is an agentic AI-powered integrated development environment and command-line tool designed to help developers move from early-stage prototypes to production-ready software through structured, spec-driven development. Unlike traditional AI coding assistants that rely heavily on ad hoc prompts, Kiro transforms natural language input into formalized requirements, architectural plans, and step-by-step implementation tasks, ensuring clarity and maintainability throughout the development...
    Downloads: 11 This Week
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  • 2
    kiro

    kiro

    Kiro is a minimal, flexible, and fully customizable Arch-based ISO

    Kiro is an opinionated, flexible, and fully customizable Arch-based ISO project built on top of ArcoLinux. Its primary focus is on Ohmychadwm and Chadwm, delivering a minimal, keyboard-driven tiling window manager experience. Alongside this, XFCE4 is included as a reliable fallback environment, ensuring usability and accessibility when needed. Kiro is designed to give users full control over their system. It provides clean, structured scripts and a modular build system that allows you to...
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    Downloads: 477 This Week
    Last Update:
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  • 3
    Cipher

    Cipher

    Cipher is an opensource memory layer designed for coding agents

    Cipher is an open‑source memory layer designed for AI coding agents. It records both high‑level conceptual memory (design decisions, business logic) and agent reasoning steps so AI assistants can maintain context seamlessly across IDEs or sessions. Built to integrate with MCP-compatible environments (e.g. Cursor, Windsurf, Gemini CLI, Claude Desktop, AWS Kiro), it enables team-aware workspace memory sharing and real-time collaboration.
    Downloads: 1 This Week
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  • 4
    AIClient-2-API

    AIClient-2-API

    Simulates Gemini CLI, Antigravity, Qwen Code, and Kiro client

    AIClient-2-API is a developer-focused tool that acts as a compatibility layer, simulating multiple AI client interfaces and translating them into standardized API requests compatible with OpenAI-style endpoints. It enables developers to connect various AI tools and clients, such as Gemini CLI, Qwen Code, or other proprietary interfaces, into a unified backend without needing to rewrite integrations. The system is designed to support high-throughput usage, handling large volumes of requests...
    Downloads: 0 This Week
    Last Update:
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