APPLICATIONS · Create & Design

Game Making

Levels, assets, gameplay prototypes, engine workflows

Game making has the widest water-level gap of any field here: the asset pipeline has been substantially rewritten, gameplay has barely been touched. What changed is 3D assets, textures, concept art, icons and scene prototypes - a mid-sized indie title used to need an art team, and one person can now cut first-draft asset cost by one to two orders of magnitude. What did not change is level design, numerical balance, game feel and pacing, all of which depend on the judgement that comes from playing; AI can neither play nor tell you whether something is fun. So the real use in this field is to spend AI on volume and variation on the asset side, and reinvest the human time saved from modelling and texturing into gameplay iteration. What improves is how big a game one person can make, not what kind of game AI can make. The ladder here is ranked by whether the asset enters an engine: usable topology, UVs and PBR channels come first; preview-render-only tools come last.

Tracked assets: 3
Installable skills: 0
Capability domains: 10

SOTA applications

3D & World ModelsGame MakingTopC

Meshy 7: the 3D asset platform that finishes what comes after generation, from topology and PBR to rigging, printability, and MCP

Meshy headlines Meshy 7 (2026) and its "true-to-reference" claim, meaning alignment between the generated model and your input image, with image-to-3D stated at under a minute. The real differentiator is not generation but finishing the engineering constraints that follow it: Smart Topology returns clean topology with a controllable poly count in about ten seconds, one-click PBR delivers the full albedo, normal, metallic, and roughness set at HD 4K with no shader setup, auto-rigging covers humanoid and quadruped with 600+ motion presets, and on the print side meshes come out watertight with auto-repair before export. It exports GLB, FBX, OBJ, STL, USDZ, and 3MF straight into OrcaSlicer and Bambu Studio. The agent surface is complete too: a REST endpoint per generation capability, an MCP server that connects into Claude or Cursor, and a CLI that turns one command into a finished model. Stated scale is 100M+ models and 12M+ users, with 100 free credits a month. Boundaries: no public quantitative benchmark (the quality stars are self-assigned), credit pricing per tier undisclosed, and "under a minute" excludes post-processing.

<1minVendor claim: single image → 3D modelVendor Claim · 2026

ProductMeshySite

3D & World ModelsGame MakingTopC

Tripo: image-to-engine-ready-asset compressed into a ten-second step

VAST's Tripo is the most productionised commercial text/image-to-3D service tracked here: meshes with UVs and PBR materials, quad remeshing, an API plus Blender/Unity plugins that drop straight into game and e-commerce asset pipelines. Its weakness is equally clear - strong on single objects, weak on complex assemblies and exact dimensions - and the sub-10-second figure is the vendor's own claim, which has not been re-measured.

<10sVendor claim: single image → usable meshVendor Claim · 2025-06

ProductVASTSite

Image GenerationGame MakingC

Scenario: style-consistent asset volume for game art, not one beautiful picture at a time

Scenario packages image generation as an asset line for game studios: train a stylised generator on your own art, then produce icons, props, characters and set pieces in volume, wiring generation into tools like Blender through MCP and plugins. Its claim is consistency and throughput - precisely the two things general text-to-image models are worst at.

ProductScenarioSite

Skills you can install

No installable agent skill collected for this vertical yet. We list skill packs that run inside Claude Code / Codex / Cursor, not concept write-ups.

Open source

Browse all

lightningpixel/modlyNOASSERTION

Modly: Local, Open-Source Image-to-3D Mesh Generation Desktop App

Modly is an open-source desktop app from Lightning Pixel (Windows, Linux, Apple Silicon macOS; v0.4.3; MIT plus an attribution clause) that turns a photo into a usable 3D mesh with open models running on your own GPU, so inference never leaves the machine. An Electron shell supervises a Python FastAPI backend bound to 127.0.0.1:8765. The default model is TripoSR (about 2.4 GB); Hunyuan3D 2 Mini, TripoSG and Trellis2 GGUF arrive as extensions, where an extension is a GitHub repo with a manifest.json that can declare multi-repo model_sources, shared weight_groups and separately installable weight_variants carrying size_gb and vram_gb. Generation is expressed as a node-graph workflow (Image to Generate Mesh to Add to Scene), scenes follow the modly.scene-manifest.v1 contract, and export covers glb/stl/obj/ply with a dedicated stl/obj printing path that scales to millimetres for OrcaSlicer. Three agent surfaces ship in the repo: a stdlib-only JSON-first CLI with its own SKILL.md, an MCP server exposing nine modly_* tools, and an in-app tool-calling agent that can run on a local llama.cpp GGUF pool or an external model endpoint. AMD ROCm auto-detection, memory-budgeted Apple Silicon workflows and headless Jetson runs are documented with measured numbers.

Image-to-3D3D Generation

TypeScript8.1k75755

ahujasid/mcp-for-blenderMIT

MCP for Blender: 32 tools that make Blender a 3D workspace an LLM can drive

Formerly blender-mcp, a third-party community plugin (the README states on its first screen that it is not made by Blender), MIT licensed, Python, and the highest-starred entry among 3D MCP servers. The PyPI package is now mcp-for-blender, yet uvx blender-mcp still runs and existing configs need no change. Two components only: an addon inside the Blender process runs a socket server that actually executes commands (the only place with bpy, the current scene and the UI thread), while a separate MCP server process translates protocol, joined by JSON over TCP on localhost:9876 by default. The source defines 32 @mcp.tool() decorators across four layers - perception (get_scene_info, get_object_info, get_viewport_screenshot returning an MCP Image, closing an act-then-look loop), reference lookup (bpy_api_lookup and describe_node_type so the model queries instead of guessing socket order and enum names), execution (execute_blender_code as the escape hatch, set_texture, export_scene to GLB/FBX), and asset retrieval and generation (Poly Haven with semantic search, importing the .blend source and writing attribution properties; Poly Pizza with about 10,600 low-poly models, size normalisation and automatic CC-BY credit; Sketchfab; Hyper3D Rodin text-to-3D and image-to-3D; Tencent Hunyuan3D distinguishing the mainland ai3d endpoint from the international hunyuan one). On security, arbitrary code execution is the design rather than a bug: an optional safe mode (BLENDER_MCP_SAFE_MODE=1) statically validates scripts before running, blocking file access, subprocesses, network and persistent code while modelling, rendering, saving, import and export pass normally, and blocked scripts return to the model with the reason so it can retry. Content telemetry is off by default, and a dedicated disable_telemetry tool can only turn collection off. 29.2k stars. Not run with Blender locally yet, so this is graded as pending reproduction.

MCPBlender

Python29k2.7k202

dreamers-laboratory/image-to-3d-pipelineApache-2.0

image-to-3d-pipeline: A Fair Benchmark and Browser Explorer for Image-to-3D Models

A fixed-protocol harness for comparing image-to-3D models. One set of AI renders of a fictional submersible goes into TRELLIS V1/V2 and TripoSR; each mesh is inspected through an identical Blender 4.3 EEVEE orbit and scored on a 0-2 five-axis rubric, then the winner ships into a Three.js + three-mesh-bvh explorer with real collision. TRELLIS V2 stochastic ranks first at 1.56 MB / 11,866 faces.

TrellisTripoSR

JavaScript258200

seedleap/zing-world-modelNOASSERTION

Zing-0.5: An Efficient Real-Time Interactive World Model

Open-source causal world model from Seedleap.ai: text prompts and keyboard actions alter world evolution in real time. Causal KV cache + four-step DMD sampling enable long-horizon real-time rollouts on a single GPU; No.1 real-time world model on WBench.

World ModelsReal-time interaction

Python123162

Demo videos

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