An experiment to model collective bargaining for AI Agents. This repo was an early attempt to build a functional prototype using existing AI tools [like open source LLM AI agents or frameworks] connected to simple crypto wallets; enabling collective organizing [union], task delegation from low-wage workers; then payment for tasks.
This web application was built using Cursor to guide engineering the Next.JS + Hugging Face integration; which is another aspect of the experiment; i.e. AI Agent as union member assisted human engineering.
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm devOpen http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.js. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Inter, a custom Google Font.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Hugging Face inference API endpoint for generative image from randomized prompts. General documentation on the inference endpoints here: https://huggingface.co/docs/api-inference/index#hosted-inference-api
This project uses the JavaScript pattern to call the Hugging Face inference API: https://huggingface.co/docs/api-inference/quicktour
The model used is Stable Diffusion v1-5: https://huggingface.co/runwayml/stable-diffusion-v1-5
The Next.JS web application is hosted on AWS Amplify; with domain mapping to daostudio.xyz
Add Passage biometric authentication for humans before they can organize with AI Agents.