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    Evo-OS

    Evo-OS

    EMMA019 December 7, 2025
    7 copies 0 downloads

    EVO OS: The next-gen autonomous agent IDE. It executes the full development cycle: Plan, Code, Verify (AST/QA), Test (Docker Sandbox), and Self-Heal. Features BudgetGuard™ for real-time cost control and loop-preventing Healer logic for unmatched robustness. A safe, economical, and self-expanding platform, ready for production use.

    Agent Definition
    <div align="center">
    
    🧬 Evo OS
    
    The Agent-First Development Orchestrator
    <img width="1912" height="948" alt="image" src="https://github.com/user-attachments/assets/ffec4744-eb0e-4036-a2e1-6f172adbef3e" />
    
    
    </div>
    
    <a name="english"></a>
    
    🧬 English
    
    "Build software, don't just generate code."
    
    Evo OS is a robust, cost-aware, and self-healing autonomous AI development framework designed to run locally with Docker sandboxing.
    
    🧐 What is Evo OS?
    
    Evo OS is an "Agent-First" development environment. Unlike simple coding assistants, Evo acts as a full engineering team. It plans the architecture, writes the code, verifies it using static analysis (AST), executes it in a sandbox to check for runtime errors, and fixes its own mistakes—all autonomously.
    
    It addresses the critical flaws of current AI agents: Infinite Loops, Hidden Costs, and Environment Pollution.
    
    ✨ Key Features
    
    🥇 BudgetGuard™ (Real-time Cost Control)
    
    Evo tracks token usage in real-time and converts it to actual currency (JPY/USD). It strictly enforces budget limits per run (e.g., stops immediately if it exceeds 50 JPY), preventing unexpected API bills.
    
    🛡️ Smart Healing & Loop Detection
    
    Uses a multi-stage healing process (Patching -> Rewriting). Crucially, it includes logic to detect healing loops. If Evo gets stuck trying to fix the same error twice, it intelligently adapts its strategy or moves forward to prevent stalled processes.
    
    🐳 Docker Sandboxing
    
    All code execution happens inside a secure evo-sandbox Docker container. This ensures:
    
    Security: No risk of malicious code running on your host (e.g., rm -rf / protection).
    
    Consistency: Pre-installed heavy libraries (numpy, pandas, qiskit, scikit-learn, etc.) ensure fast and reproducible execution.
    
    🧩 Kit System (Self-Expansion)
    
    Evo selects specialized "Kits" (YAML-based domain knowledge) based on your prompt (e.g., "Make a Chrome Extension", "Create a Mahjong Game"). It can even generate new Kits for itself to learn new technologies on the fly

    Tags

    aiantigravitygeminigemini-apiopen-sourceorchestratorpython

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