404-GEN is pioneering a new era in digital content creation by becoming the first decentralized 3D model generation platform integrated with Unity. This integration empowers creators with seamless access to innovative tools, fostering a more democratic and accessible content creation landscape.
A real-time chat system with a Live2D virtual human based on Unity
Unity Deep Learning Inference Library
Unity Game Development Resource Store
Unity's open AI ecosystem, connecting creators with powerful AI tools
Huawei
-
Input tokens/M
Output tokens/M
128
Context Length
32
Minimax
Chatglm
$5
DreadPoor
Strawberry_Smoothie-TEST is a hybrid model obtained by merging three 12B parameter models using the mergekit tool. It combines the advantages of Unity-12B, Chaos-Unknown-12b, and Smoothie-12B-Model_Stock, aiming to provide better text generation and dialogue capabilities.
honestlyanubhav
A deep reinforcement learning agent trained with Unity ML-Agents, specifically designed for two-player soccer game scenarios.
Mouryahimanshu
This is a deep reinforcement learning agent based on the PPO algorithm, designed to play the Huggy game, trained using the Unity ML-Agents library.
alex17127
This is a PPO agent model trained using the Unity ML-Agents library, specifically designed for the Huggy game.
ErenDoymus
This is a PPO agent model trained using the Unity ML-Agents library, specifically designed to run the Huggy Game.
hellonihao
This is a PPO agent model trained using the Unity ML-Agents library, specifically designed to control the behavior of the virtual dog Huggy.
LingoIITGN
Ganga-2-1b is an instruction fine-tuned model trained on a Hindi dataset and is part of Project Unity, aiming to handle the diversity and richness of Indian languages.
PampX
This is a PPO agent model trained using the Unity ML-Agents library, specifically designed for reinforcement learning tasks in the Huggy game.
hishamcse
A deep reinforcement learning model trained with Unity ML-Agents, specifically designed for two-player soccer game scenarios
unity
A Meta MusicGen model verified by Unity Sentis that can generate stylized music up to 30 seconds long based on text prompts.
A facial landmark detection model for Unity Sentis, capable of detecting 468 3D facial landmarks for applications like mesh deformation control.
Real-time multi-object recognition model based on YOLO architecture, supports Unity Sentis engine deployment
julienkay
Converted MiDaS model to ONNX format for monocular depth estimation in Unity Sentis
Whisper-Tiny is a small automatic speech recognition (ASR) model developed by OpenAI, designed for speech-to-text tasks and suitable for Unity environments.
Whisper Tiny is a lightweight voice-to-text model developed by OpenAI, suitable for real-time voice recognition tasks.
This is a depth estimation model developed based on the MiDaS framework and verified to run in Unity 2023
A lightweight real-time multi-object detection model optimized for Unity engine, based on YOLOv7-tiny architecture
motmono
This is a PPO agent model trained using the Unity ML-Agents library, specifically designed for gaming in pyramid environments.
Aitor
This is a reinforcement learning agent based on the PPO algorithm, specifically trained for navigation and task-solving in Unity's ML-Agents pyramid environment.
PraveenKishore
This is a PPO algorithm agent model trained using the Unity ML-Agents library, specifically designed for reinforcement learning tasks in pyramid environments.
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
MCP Unity is a Unity Editor extension that implements the Model Context Protocol, allowing AI assistants to interact with Unity projects and providing a bridge between Unity and the Node.js server.
MCP Unity is a Unity Editor extension that implements the Model Context Protocol. It bridges the interaction between AI assistants and Unity projects through a Node.js server, providing functions such as menu execution, object selection, and component update.
This project provides seamless integration between the Unity Editor and the Model Context Protocol (MCP), enabling AI assistants to understand and operate on Unity projects in real-time, including accessing the scene hierarchy, executing code, monitoring logs, and other functions.
The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.
Yamu is an experimental MCP server project aimed at enabling AI programming assistants to interact with Unity projects, providing compilation and testing functions, and supporting an automated edit-compile-debug cycle.
Unity-MCP is an open - source project that connects the Unity game engine with AI assistants. It implements AI - assisted development, automated testing, and runtime debugging functions through the Model Context Protocol.
Unity - MCP is a bridge tool that connects large language models (LLMs) and the Unity Editor. By exposing Unity Editor functions to AI clients, it enables an AI - driven automated development process. It supports custom tool extensions and currently provides core functions such as game object management, scene operations, and asset handling. It is mainly suitable for the Unity Editor environment.
The Unity MCP Package is a Unity plugin focused on enhanced material editing. It implements two - way communication between Unity and large language models based on the MCP protocol, supports functions such as asset management, scene control, and script integration, and plans to add more advanced features.
Unity-MCP is an open-source bridge that connects Unity with AI assistants, enabling AI-assisted game development, automated testing, and scenario analysis through the MCP protocol.
The Unity MCP server is a tool that connects Claude with Unity projects. It is developed based on the Model Context Protocol SDK and provides functions for accessing project lists, detailed information, and file structures.
Unity MCP is an AI assistant tool that controls the Unity editor through natural language commands. It supports creating, modifying, and managing game objects, scenes, materials, etc., and simplifies the development process.
Unity Code MCP is a high - performance MCP server built on Rust, designed for AI agents to independently write Unity code, providing lightweight and efficient compilation feedback and test execution capabilities.
This project is an improved version based on UnityMCP, focusing on AI-assisted development of VRChat worlds. It provides enhanced command execution, editor integration, script testing, and performance optimization features, and specifically supports UdonSharp script generation.
This is a server based on the Model Context Protocol (MCP) for executing SQL queries through the Databricks Statement Execution API, supporting complex task iteration and Unity Catalog metadata integration.
The Unity MCP and Ollama integration package enables seamless communication between Unity and local large language models, supporting asset management and editor automation.
The Unity MCP template is an example project that demonstrates the interaction between the TypeScript MCP server and Unity. It supports custom tool development and includes a quick - start guide and a to - do list.
uMCP is a server implementation of the MCP protocol designed specifically for Unity, used to connect AI agents to Unity applications, with security and scalability.
The MCP server for Unity Catalog, providing Unity Catalog functions as MCP tools
Globally install the UGS tool
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