Add auth to your AI agents in 5 minutes with KavachOS

Auth libraries handle human sign-in. But what happens when your AI agent needs to read from GitHub, deploy to production, or call another agent's API? You end up building a custom permissions layer, rolling your own tokens, and hoping your audit trail holds up. I got tired of building that layer from scratch for every project, so I built KavachOS. It handles both human auth and agent identity in one library. Here's how to get it running. What you'll build ┌─────────────────────────────────────────────┐ │ Your App │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Human │ │ Agent │ │ Agent │ │ │ │ (Ada) │ │ (reader) │ │ (deploy) │ │ │ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ ┌──────────────────────────────────────┐ │ │ │ KavachOS Auth Layer │ │ │ │ sessions · tokens · permissions · │ │ │ │ delegation · audit · MCP OAuth │ │ │ └──────────────────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌──────────┐ │ │ │ SQLite / │ │ │ │ Postgres │ │ │ └──────────┘ │ └───────────────