*This is a submission for the Auth0 for AI Agents Challenge
What I Built
I created a modular AI agent that integrates Auth0 for secure identity management. The agent operates within a legacy Linux Mint XFCE environment and supports reproducible workflows for community automation.
Demo
- 🔗 GitHub Repository: MintBridgeXFCE_v1.0
- 📸 Screenshots: Demo 1, Demo 2
- 🌐 Live App: https://tu-app.glitch.me
How I Used Auth0 for AI Agents
Auth0 handles user authentication and token-based access control for my agent. It secures API calls, restricts access to sensitive tools, and enables scoped permissions via Token Vault. I applied fine-grained authorization to my RAG pipeline.
Lessons Learned and Takeaways
This challenge helped me understand how identity management enhances AI agent security. I learned to integrate Auth0 with legacy systems, automate token validation, and document reproducible flows for community use. Auth0's flexibility made it easy to adapt to my MintBridgeXFCE module.
Team
Solo submission by @jramonrivasg
is a submission for the Auth0 for AI Agents Challenge*
Top comments (1)
Thanks for checking out my submission! This modular AI agent was built with legacy systems in mind, prioritizing secure identity flows and reproducibility. If you're working on similar integrations with Auth0, Linux Mint XFCE, or community automation, I’d love to hear your thoughts or suggestions.
Feel free to fork the repo, test the flows, or propose improvements. Let’s build resilient and traceable AI together. 💡🔐