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PuerTS is a multi-language scripting solution for Unity/Unreal/DotNet.

• 🌐 Multi-Language Support (Unity 3.0 New!): JavaScript/TypeScript, Lua, and Python — use the language your team is most productive in, or even mix them in one project. (Unreal currently supports JavaScript/TypeScript only.)
• 🚀 Provides high-performance script runtimes with seamless C#/C++ interop.
• 📝 TypeScript declaration generation for type-safe access to host engine APIs.

• Choose your language (Unity): PuerTS 3.0 introduces a unified ScriptEnv architecture — write game logic in TypeScript, Lua, or Python with a consistent C# bridging API. No more one-size-fits-all.
• Massive ecosystem access: leverage npm, LuaRocks, or PyPI packages alongside professional game engines to accelerate development.
• Type safety when you want it: TypeScript's static type checking significantly improves code robustness, while Lua and Python offer rapid prototyping flexibility.
• High efficiency: full-engine, cross-platform reflection calls — zero boilerplate for C++/C# interop.
• High performance: static wrapper generation for performance-critical paths, across all supported languages.
• Talented WebGL Support: massive advantage in performance and dev efficiency, even faster than pure C# in some cases.

All three languages share the same ScriptEnv API — just swap the Backend:

JavaScript / TypeScript

using Puerts;
using UnityEngine;

void Start() {
    var env = new ScriptEnv(new BackendV8());
    env.Eval(@"
        const Vector3 = CS.UnityEngine.Vector3;
        const Debug = CS.UnityEngine.Debug;
        let pos = new Vector3(1, 2, 3);
        Debug.Log('Hello from JS! pos = ' + pos);
    ");
    env.Dispose();
}

Lua

using Puerts;
using UnityEngine;

void Start() {
    var env = new ScriptEnv(new BackendLua());
    env.Eval(@"
        local CS = require('csharp')
        local Vector3 = CS.UnityEngine.Vector3
        local Debug = CS.UnityEngine.Debug
        local pos = Vector3(1, 2, 3)
        Debug.Log('Hello from Lua! pos = ' .. pos:ToString())
    ");
    env.Dispose();
}

Python

using Puerts;
using UnityEngine;

void Start() {
    var env = new ScriptEnv(new BackendPython());
    env.Eval(@"
exec('''
import UnityEngine.Vector3 as Vector3
import UnityEngine.Debug as Debug
pos = Vector3(1.0, 2.0, 3.0)
Debug.Log('Hello from Python! pos = ' + pos.ToString())
''')
");
    env.Dispose();
}

💡 Three languages, one API surface. Each example creates a Vector3, then calls Debug.Log — real C# interop in just a few lines.

Built on top of PuerTS, Puerts.AI brings AI capabilities directly into Unity — both in the Editor and at game runtime.

Puerts.AI includes a ready-to-use Unity Editor Assistant that lets you control the Unity Editor with natural language. For example:

• "Build a medieval castle scene using basic meshes" — AI creates GameObjects, adjusts Transforms, assigns materials
• "Analyze puerts-related logs" — AI filters and summarizes logs intelligently
• "Check for missing scripts in the current scene" — AI traverses all GameObjects and reports issues

Any C# API is callable — the AI generates scripts that run in the PuerTS environment with full access to UnityEngine.* and UnityEditor.*.

The Editor Assistant comes in two versions:

	Agent Version (Built-in)	MCP Version (External)
How it works	Chat directly inside a Unity Editor window	Connect from Cursor, Windsurf, Claude Desktop, or any MCP-compatible AI tool
Speed	⚡ Faster — no network round-trips	Communicates via HTTP/SSE
Best for	Scene building, inspections, quick prototyping	Vibe coding workflows — AI edits code while controlling Unity to verify results

What makes Puerts MCP different from other Unity MCP solutions?

• No separate process — the MCP server runs directly inside the Unity process, no extra services to launch
• Single tool, on-demand builtins — instead of registering dozens of tools upfront, it exposes only one tool; builtin modules are loaded on demand, saving context tokens while remaining equally powerful
• Extensible via builtins & skills — add new capabilities by dropping files into the resource directory, no code changes needed

The Editor Assistant above is built with Puerts.Agent — an open, extensible LLM Agent framework. But it's not just for the editor — agents can also run in game runtime, opening up gameplay possibilities:

• 🎮 Smart NPC Demo — Each NPC has its own LLM Agent instance and personality-driven system-prompt. NPCs generate truly dynamic dialogue based on player behavior and game state, sense their surroundings via C# APIs, and form personalized interactions through conversation memory. (SmartNPCDemo)
• 🧩 Maze Runner Demo — An AI that autonomously navigates a 3D maze by taking screenshots to observe the environment, reasoning about viable paths, executing movement commands, and verifying results — all powered by just two builtin modules and a system-prompt.(MazeRunnerDemo)

Build your own agent by creating a simple resource directory:

Resources/my-agent/
├── system-prompt.md.txt      # Who the AI is and how it behaves
├── skills/                   # Domain knowledge documents (loaded on demand)
└── builtins/                 # Executable helper modules

Documentation

---

• general faq
• unreal faq
• unity faq

• unreal
• unity

• unreal
• unity

• unreal
• unity

---

PuerTS supports multiple script backends. For JavaScript/TypeScript, choose from V8, QuickJS, or Node.js. PuerTS 3.0 also adds Lua and Python as first-class backends.

• V8 (default): Generally excellent performance, moderate code size, only includes the implementation of the ECMAScript specification, does not include Node.js API or browser API.

• QuickJS: Performance is not as good as V8, does not support debugging, but has a small code size, suitable for scenarios where code size is critical.

• Node.js: Supports Node.js API (OpenSSL-related APIs are not supported on Unreal Engine's mobile platform), but has a larger code size.

JS Backend	Node API	Performance	Code Size	Debugging	Notes
V8	❌	*****	***	✔️
QuickJS	❌	**	*	❌
Node.js	✔️	*****	*****	✔️	OpenSSL may be disabled

Note: Lua and Python backends are currently available for Unity only. Unreal Engine still supports JavaScript/TypeScript exclusively.

Backend	Language	Performance	Platform Support	Notes
Lua	Lua 5.4	*****	All platforms	Ideal for teams already using Lua
Python	CPython	***	Desktop only	Great for AI/ML integration & tooling

• unreal engine 4.22 ~ latest

• unity 5 ~ latest

• Any .net project

PuerTS's core code supports all platforms supported by the game engines, but each script backend has its own platform requirements:

	Windows	Mac	Linux	Android	iOS	H5/Mini Games
V8	✔️	✔️	✔️	✔️	✔️	❌
Nodejs	✔️	✔️	✔️	✔️	✔️	❌
Quickjs	✔️	✔️	✔️	✔️	✔️	✔️
Webgl	❌	❌	❌	❌	❌	✔️
Lua	✔️	✔️	✔️	✔️	✔️	✔️
Python	✔️	✔️	✔️	❌	❌	❌

Note 1: Only V8, Nodejs, and Quickjs backends are available for Unreal. Unity supports all backends listed above. Note 2: Although the Webgl backend only supports H5/Mini Games, its scripts run in the native JS VM of the web environment, which typically delivers higher performance (e.g., JIT support in iOS Mini Games). It also provides first-class language benefits such as convenient debugging and profiling. Note 3: For JavaScript, different platforms can use different JS backends — e.g., V8 for mobile apps and Webgl for H5 — achieving full platform coverage with optimal performance.

Github Discussion

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PuerTS 是 Unity/Unreal/Dotnet 下的多语言脚本编程解决方案。

• 🌐 多语言支持（Unity 3.0 新特性！）：JavaScript/TypeScript、Lua、Python 三大语言开箱即用——团队擅长什么就用什么，同一个项目里甚至可以混用。（Unreal 目前仅支持 JavaScript/TypeScript。）
• 🚀 提供高性能脚本运行时，与 C#/C++ 无缝互操作。
• 📝 提供 TypeScript 声明文件生成能力，类型安全地访问宿主引擎 API。

• 自由选择语言（Unity）：PuerTS 3.0 引入了统一的 ScriptEnv 架构——用 TypeScript、Lua 或 Python 编写游戏逻辑，享受一致的 C# 桥接 API，不再被某一种脚本语言绑定。
• 海量生态随手可用：npm、LuaRocks、PyPI 的海量包 + 专业游戏引擎的渲染能力，加速开发效率。
• 按需选择类型安全：TypeScript 的静态类型检查显著提升代码健壮性；Lua 和 Python 则提供快速原型验证的灵活性。
• 高效：全引擎，全平台支持反射调用，无需额外步骤即可与宿主 C++/C# 通信。
• 高性能：全引擎，全平台支持生成静态调用桥梁，所有支持的语言都兼顾了高性能场景。
• WebGL 平台天生优势：相比其他脚本方案，PuerTS 在 WebGL 平台性能和效率上都有极大提升，极限情况甚至比纯 C# 更快。

三种语言共享同一套 ScriptEnv API，只需切换 Backend：

JavaScript / TypeScript

using Puerts;
using UnityEngine;

void Start() {
    var env = new ScriptEnv(new BackendV8());
    env.Eval(@"
        const Vector3 = CS.UnityEngine.Vector3;
        const Debug = CS.UnityEngine.Debug;
        let pos = new Vector3(1, 2, 3);
        Debug.Log('Hello from JS! pos = ' + pos);
    ");
    env.Dispose();
}

Lua

using Puerts;
using UnityEngine;

void Start() {
    var env = new ScriptEnv(new BackendLua());
    env.Eval(@"
        local CS = require('csharp')
        local Vector3 = CS.UnityEngine.Vector3
        local Debug = CS.UnityEngine.Debug
        local pos = Vector3(1, 2, 3)
        Debug.Log('Hello from Lua! pos = ' .. pos:ToString())
    ");
    env.Dispose();
}

Python

using Puerts;
using UnityEngine;

void Start() {
    var env = new ScriptEnv(new BackendPython());
    env.Eval(@"
exec('''
import UnityEngine.Vector3 as Vector3
import UnityEngine.Debug as Debug
pos = Vector3(1.0, 2.0, 3.0)
Debug.Log('Hello from Python! pos = ' + pos.ToString())
''')
");
    env.Dispose();
}

💡 三种语言，同一套 API。每个示例都创建了一个 Vector3，然后调用 Debug.Log ——短短几行代码即可实现真正的 C# 互操作。

基于 PuerTS 构建的 Puerts.AI，将 AI 能力直接带入 Unity——无论是编辑器还是游戏运行时。

Puerts.AI 内置了一个开箱即用的 Unity 编辑器助手，让你用自然语言操控 Unity 编辑器。例如：

• "用基础 Mesh 搭建一座中世纪城堡场景" —— AI 自动创建 GameObject、调整 Transform、设置材质
• "分析下 puerts 相关的日志" —— AI 智能过滤并总结日志
• "检查当前场景有没有脚本丢失" —— AI 遍历所有 GameObject 并报告问题

凡是 C# 能调用的，AI 都能做到——AI 生成的脚本运行在 PuerTS 环境中，可直接访问 UnityEngine.* 和 UnityEditor.* 的完整 API。

编辑器助手有两个版本：

	Agent 版（内置）	MCP 版（外接）
使用方式	在 Unity 编辑器窗口内直接对话	从 Cursor、Windsurf、Claude Desktop 等支持 MCP 协议的 AI 工具接入
速度	⚡ 更快——没有网络往返	通过 HTTP/SSE 通信
适合场景	场景搭建、日常检查、快速原型	Vibe coding 工作流——AI 一边改代码一边操控 Unity 验证效果

Puerts MCP 与市面上其他 Unity MCP 方案有何不同？

• 无需额外启动进程 —— MCP Server 直接跑在 Unity 进程内，不用另起服务
• 单工具 + 按需加载 builtin —— 不像其他方案预注册几十个工具，Puerts MCP 只暴露一个工具，builtin 模块按需加载，更省上下文 token，但功能同样强大
• 通过 builtin 和 skill 机制拓展 —— 只需往资源目录里放文件就能添加新能力，无需改代码

上面的编辑器助手就是用 Puerts.Agent 开发的——一个开放、可扩展的 LLM Agent 框架。它不仅能用于编辑器，还能跑在游戏运行时环境中，为 gameplay 玩法开发打开全新可能：

• 🎮 智能 NPC Demo —— 每个 NPC 拥有独立的 LLM Agent 实例和个性化 system-prompt。NPC 能根据玩家行为和游戏状态生成真正动态的对话，通过 C# 接口感知周围环境，并基于对话历史形成个性化的交互体验。（SmartNPCDemo）
• 🧩 迷宫 AI Demo —— AI 自主走迷宫的 Demo，展示 Agent 通过截屏观察 + 工具调用来探索 3D 迷宫。AI 截屏观察当前视野、推理可行路径、执行移动指令、再截屏验证结果——完全自主完成，整个实现仅用了两个 builtin 模块和一段 system-prompt。（MazeRunnerDemo）

构建你自己的 Agent，只需创建一个简单的资源目录：

Resources/my-agent/
├── system-prompt.md.txt      # 告诉 AI 它是谁、该怎么做
├── skills/                   # 领域知识文档（按需加载）
└── builtins/                 # 可执行的辅助模块

• 官方文档

---

• 通用 faq
• unreal faq
• unity faq

• unreal
• unity

• unreal
• unity

• unreal
• unity

---

PuerTS 支持多种脚本后端。JavaScript/TypeScript 可选 V8、QuickJS、Node.js；3.0 新增 Lua 和 Python 作为一等公民后端。

• V8（默认）：综合比较优秀，高性能，代码体积适中，仅包含 ECMAScript 规范的实现，不包含 Node.js API、浏览器 API。

• QuickJS：性能不如 V8，不支持调试，但代码体积小，适用于包体大小敏感的场景。

• Node.js：支持 Node.js API（Unreal Engine 移动平台下不支持 OpenSSL 相关 API），代码体积较大。

JS 后端	Node API	性能	代码体积	调试	补充
V8	❌	*****	***	✔️
QuickJS	❌	**	*	❌
Node.js	✔️	*****	*****	✔️	OpenSSL 可能被禁用

注意：Lua 和 Python 后端目前仅在 Unity 版本中可用，Unreal Engine 仍仅支持 JavaScript/TypeScript。

后端	语言	性能	平台支持	补充
Lua	Lua 5.4	*****	全平台	适合已有 Lua 技术栈的团队
Python	CPython	***	桌面平台	适合 AI/ML 集成与工具链开发

• unreal engine 4.22 ~ latest

• unity 5 ~ latest

• 任意.net环境

PuerTS的核心代码支持游戏引擎支持的所有平台，但每个脚本后端有其特有的平台要求：

	Window	Mac	Linux	Android	IOS	H5/小游戏
V8	✔️	✔️	✔️	✔️	✔️	❌
Nodejs	✔️	✔️	✔️	✔️	✔️	❌
Quickjs	✔️	✔️	✔️	✔️	✔️	✔️
Webgl	❌	❌	❌	❌	❌	✔️
Lua	✔️	✔️	✔️	✔️	✔️	✔️
Python	✔️	✔️	✔️	❌	❌	❌

注1： Unreal下只有V8、Nodejs、Quickjs三种后端，Unity支持以上所有脚本后端 注2： Webgl后端虽然只支持H5/小游戏，但它的脚本是运行在web环境的原生js虚拟机里，通常性能更高（比如在ios小游戏环境里支持jit），也能享受first class语言诸如方便调试，profiler等好处 注3： 对于js，不同平台可以选不同的js脚本后端，比如app选v8，H5平台选Webgl实现全平台支持且性能最优

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