Modular grid inventory system for Unity with rotation, stacking, transfers, save support, tests, and a UGUI demo.GridForge Inventory Kit is a focused Unity inventory foundation for RPG, survival, extraction, puzzle, and loot-driven games.It provides a clean runtime grid model with item definitions, rectangular item footprints, rotation, stack limits, placement, removal, movement, transfer, swap, and save/restore support. The package is designed to be easy to extend, so you can connect it to your own item database, UI, equipment system, crafting, loot tables, networking, or save backend.A ready-to-open UGUI demo scene is included to show player and chest inventories, drag and drop, item rotation, cross-inventory transfer, swap behavior, reset, and save-state output.The content is customizable and intentionally lightweight. It does not force a full RPG framework into your project; it gives you a reliable inventory core and sample workflow you can build on.Grid-based inventory runtime model.Rectangular item footprints with width and height.Item rotation support.Stack limits and quantity handling.Add, remove, move, transfer, and swap operations.All-or-nothing transactional APIs for safer inventory changes.Explicit partial quantity APIs for stack-friendly workflows.Save DTO output and restore support through item resolver callbacks.ScriptableObject item definitions.Ready-to-open Basic Grid UGUI demo scene.Player inventory and chest inventory sample.Drag, drop, rotate, transfer, swap, reset, and save-state demo UI.Runtime tests and Play Mode tests included.No paid third-party dependencies.Lightweight architecture designed for extension and integration.AI assistance was used during development to help draft documentation, Asset Store listing copy, marketing text, and some promotional visual assets. AI was also used as a coding assistant for review and iteration support. All package code, samples, documentation, and release files were reviewed and tested before submission.The package does not include any AI/ML runtime features, trained models, generated user-facing logic, telemetry, or external AI service dependencies.
