founder-resource
Awesome-WAM: Embodied AI Resources
Get curated resources for World Action Models in embodied AI, for founders. 1.0k+ GitHub stars
1,315 stars36 forksHTMLHealth Score 8/10Updated 8/25/2026100% 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-WAMWhen 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.
Details
Creator
OpenMOSS
Language
HTML
Category
founder-resource
Published
4/16/2026
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