claudlos/hermes-katana

State of the art security for AI agents

28
/ 100
Experimental

This project helps ensure that AI agents behave securely and don't accidentally (or maliciously) expose sensitive information or execute harmful commands. It inspects all data flowing into and out of an AI agent, identifying and stopping potential threats like prompt injections or attempts to misuse tools. It's designed for anyone deploying or managing AI agents in a production environment who needs robust security against emerging AI-specific vulnerabilities.

Use this if you are developing or operating AI agents and need to protect them from sophisticated attacks like prompt injection, data exfiltration, or unauthorized command execution.

Not ideal if you are developing simple, offline AI scripts that don't interact with external systems or sensitive data.

AI-security prompt-engineering agent-deployment data-privacy compliance
No Package No Dependents
Maintenance 13 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 0 / 25

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Stars

18

Forks

Language

Python

License

MIT

Category

agent-framework

Last pushed

Apr 05, 2026

Commits (30d)

0

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