Spotlight search for Unity. Stop memorizing folder paths and find assets, scripts, and prefabs instantly using natural language and AI. 100% offline.ProjectLens is an Editor-only tool and is fully compatible with all render pipelines. It does not affect runtime rendering.Stop memorizing exact file paths. Find what you need, instantly.As your Unity project grows, navigating massive asset libraries and legacy codebases slows down development. ProjectLens is a local AI semantic search tool that indexes your entire project in the background without freezing or stuttering your editor's performance. Search for concepts—not just exact string matches—and save hours of hunting.🧠 Search by Meaning, Not Just Names Can't remember if you named it Enemy_Bruiser.prefab or BigZombie.prefab? Just search for "Large monster" and let ProjectLens find it.⚡ Lightning Fast & 100% Offline No cloud dependencies, no API keys, and zero subscription costs. Your project data never leaves your machine.🎯 Advanced Filtering Instantly narrow down massive projects using operators like t:prefab, in:Gameplay, or has:Rigidbody.Why choose ProjectLens?Saves Time: Pays for itself in the first week by eliminating "where did I put that file?" syndrome.Typo Forgiving: Automatically corrects spelling mistakes while respecting technical code identifiers.Zero Friction: Runs quietly in the background via AssetPostprocessor with zero impact on your runtime game performance.Editor-only tool (Zero impact on runtime build size or performance)Supported OS: Windows, macOS, LinuxNetwork: 100% Offline local inferenceDependencies: Requires the official Unity Inference Engine (com.unity.ai.inference - Free and easily installable via the Package Manager).Compatibility: Works with all render pipelines (Built-in, URP, HDRP)Key Features:Semantic Retrieval: Find assets based on meaning and context using a local neural network.Hybrid Search: Intelligently combines exact filename matching, BM25 text frequency, and semantic embeddings to rank the best results.Query Operators: Quickly filter searches by file type (t:cs), folder path (in:Gameplay), or attached components (has:Rigidbody).Typo Tolerance: Automatically forgives spelling mistakes without breaking valid technical code identifiers.100% Offline: Your project data stays on your machine. There are no cloud dependencies, internet requirements, or API costs.The MiniLM v6 ONNX model (all-MiniLM-L6-v2, Apache 2.0) is bundled and used for local semantic search inference via Unity Inference Engine. No external AI services are called at runtime. AI coding assistants were used during development.
