founder-resource

Awesome-WAM: Embodied AI Resources

Name: Awesome-WAM: Embodied AI Resources
Author: OpenMOSS

Get curated resources for World Action Models in embodied AI, for founders. 1.0k+ GitHub stars

1,103 stars28 forksHTMLQuality 8/10Updated 7/15/2026100% free · open source

What it does

Awesome-WAM provides a curated list of resources for World Action Models in embodied AI, helping founders access relevant papers, blogs, and projects

Install / run

Access the GitHub repository at https://github.com/OpenMOSS/Awesome-WAM

When to use it

•When researching World Action Models for embodied AI projects
•When looking for papers and blogs on WAMs for academic or professional purposes
•When seeking inspiration for AI-related startup ideas involving WAMs

Quick start

1Browse the README.md file for an overview of the project and its goals
2Explore the curated list of resources in the README, categorized by topic
3Check the contributing.md file for guidelines on how to add new resources to the list
4Use the GitHub repository's issue tracker to suggest new resources or report errors
5Fork the repository to create a custom version of the resource list for your own project

Ready-to-paste prompt

Open the README.md file and search for 'Getting Started' to find a list of introductory resources on World Action Models

Heads up: Note that Awesome-WAM is a curated list of resources and not a software tool, so it does not require installation or have specific runtime dependencies

Saves to your device

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

1798.6M

repo size

MIT

license

Key files

index.html