What I Built
AuthAgent is a secure AI assistant designed to help users manage personal tasks, retrieve information, and interact with third-party services—all while ensuring robust identity protection. The agent solves the problem of secure delegation: how can users trust an AI to act on their behalf without compromising their identity or data?
Key features:
Natural language interface for task automation
Secure authentication and authorization using Auth0
Role-based access control for sensitive actions
Session management and token refresh for long-lived interactions
Demo
GitHub Repository
Demo Video
How I Used Auth0 for AI Agents
Auth0 was the backbone of my agent’s identity layer. Here's how I integrated it:
Agent Authentication: Each AI agent instance authenticates using Auth0's Machine-to-Machine flow, ensuring secure API access.
User Delegation: Users log in via Auth0’s Universal Login, and their access tokens are securely passed to the agent for delegated actions.
Role-Based Access Control: Auth0 roles determine what the agent can do on behalf of each user (e.g., read calendar vs. send emails).
Token Management: The agent handles token refresh and expiration gracefully, ensuring uninterrupted sessions.
Lessons Learned and Takeaways
Building AuthAgent taught me a ton about secure agent design:
Challenge: Managing token lifecycles and securely storing credentials in agent memory was tricky. I had to implement encrypted local storage and strict access policies.
Insight: Auth0’s extensibility made it easy to plug into my agent’s lifecycle, especially with Rules and Actions for custom claims.
Advice: Don’t treat AI agents like traditional apps—think of them as semi-autonomous users. Secure them accordingly!
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