Easy and flexible save system for Unity. Save variables, custom classes, and game data in just a few lines. No dependencies, works on all pipelines.This package is purely script-based and does not rely on any render pipeline. It works identically with Built-in, URP, HDRP, and Custom RP.💾 SaveMate - The Ultimate Lightweight Save System for UnitySaveMate is a simple yet powerful data-saving solution for Unity projects. Whether you're building a small mobile game or a complex PC project, SaveMate helps you save game data, variables, custom classes, and more without the headache.✨ Features:Save and load any data type: ints, floats, strings, booleans, lists, vecttors, colors or custom classes using JSON or BINARYClean API: just a few lines to get startedWorks in Built-in, URP, HDRP, and Custom RPNo external dependenciesHighly customizable and easy to extendFull example script and ready-to-use template includedIn-code comments and usage guidanceWorks on all Unity-supported platforms (PC, Android, iOS, WebGL, etc.)📦 What’s Included:JustCopyMe.cs → Ready-to-use methods, just copy past and set your saveable varaiables.SaveableExample.cs → Full usage exampleReadme.txt & Important.txt → Detailed usage and setup guideHowToUse.png → Visual explanation of how to use variables📺 Watch the tutorial video here🔧 Compatibility:Unity 2019.4.40f1 or newer recommendedFully SRP-independent (Built-in, URP, HDRP, and Custom RP compatible)Get up and running in minutes. Whether you're a beginner or a seasoned developer, SaveMate will make your life easier.Save/load support for: int, float, string, bool, List, and custom classesSave in json or binaryClean and minimal API — save data in one lineFully static method access — no setup or instances neededWorks with all render pipelines (Built-in, URP, HDRP, Custom RP)Platform-independent: PC, Android, iOS, WebGL, etc.No external libraries or dependenciesCustomizable save paths and keysIncludes detailed documentation and sample scriptsCommented source codeCompatible with Unity 2022.3.61f1 or newerAI tools were used to assist with code suggestions, documentation formatting, and for explanation purposes. All final content was reviewed and tested manually to ensure accuracy.
