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LiAg

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What LiAg is

LiAg is open-source software for modeling and rendering 3D avatars in a web-based editor. Its component selector and pose editor support avatar creation, and users can export models as STL files for 3D printing. The project is implemented with React.js and WebGL and is listed under the MIT license. LiAg is free, and commercial use is allowed. The README lists macOS, Linux, Windows 11, and Android tablets as compatible platforms; it also says iOS support is not planned. The listed requirements are Node.js v26.2.0, React.js 19.2.6, and three.js 0.184.0. Setup involves cloning the repository, running npm commands to build the software, and serving the build. The README lists version 2.3.1. A desktop release using Electron remains a TODO, so the described workflow is web based rather than a released desktop app.

Who it suits

LiAg suits people who want a free, web-based avatar modeling tool and need STL output for 3D printing. It may also suit developers comfortable with the listed requirements and build steps.

What it does well

  • Free and open source under the MIT license
  • Component selector and pose editor
  • Exports avatar models as STL files
  • Commercial use is allowed

What to know first

  • No iOS support is planned
  • Installation requires building and serving the project
  • Electron desktop app is listed as a TODO

Limits

The documented platform support excludes iOS, and an Electron desktop release is still listed as a TODO. STL is the listed export format.

Getting started

  1. Use a compatible macOS, Linux, Windows 11, Android tablet, or web environment
  2. Install Node.js v26.2.0, React.js 19.2.6, and three.js 0.184.0
  3. Clone the LiAg repository
  4. Run the npm commands from the installation instructions to build it
  5. Serve the generated build
  6. Open the web-based modeler and use the component selector or pose editor

Verdict

LiAg offers web-based avatar modeling with a pose editor and STL export, at no listed cost. Check its platform compatibility and build requirements before choosing it.

Questions

Is LiAg free?

Yes. LiAg is free and open source.

What license does it use?

The repository lists an MIT license, and commercial use is allowed.

Which platforms are compatible?

The README lists macOS, Linux, Windows 11, and Android tablets; the software provides web-based modeling and rendering. It says iOS support is not planned.

What can I export?

Users can export avatars as STL files for 3D printing.

How is LiAg installed?

Clone the repository, run the npm build commands, and serve the resulting build. The listed requirements are Node.js v26.2.0, React.js 19.2.6, and three.js 0.184.0.

What is the project version?

The README lists version 2.3.1.

Facts from LiAg's own pages

Compatibility
The README lists macOS, Linux, Windows 11, and Android tablets as compatible platforms. · github.com, 8 Oct 2026
Desktop app
The README lists releasing the project as an Electron desktop app as a TODO. · github.com, 8 Oct 2026
Editor
The README identifies a component selector and a pose editor. · github.com, 8 Oct 2026
Editor views
The README shows a component selector, a pose editor, and an exported STL model. · github.com, 8 Oct 2026
Export
Users can export avatars as STL files for 3D printing. · github.com, 8 Oct 2026
Implementation
The software is implemented with React.js and WebGL. · github.com, 8 Oct 2026
Installation
The installation instructions clone the repository, run npm commands to build it, and serve the build. · github.com, 8 Oct 2026
iOS support
The README says there is no plan to support iOS. · github.com, 8 Oct 2026
License
The repository lists an MIT license. · github.com, 8 Oct 2026
Purpose
LiAg is open source 3D avatar modeling software that provides web based modeling and rendering. · github.com, 8 Oct 2026
Requirements
The listed requirements are Node.js v26.2.0, React.js 19.2.6, and three.js 0.184.0. · github.com, 8 Oct 2026
Technology
The project is implemented with React.js and WebGL. · github.com, 8 Oct 2026
Version
The README lists version 2.3.1. · github.com, 8 Oct 2026

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