I recently built a small prototype called AgentGuard OS.
It acts as a real-time control layer for AI agents:
- detects prompt injection
- monitors risky behavior
- aligns outputs with user memory
- enforces decisions (block / warn / adapt)
Demo: https://agentguard-gamma.vercel.app/
Idea:
Instead of each app handling safety separately, a middleware layer on top of OpenGradient Model Hub could standardize agent safety and behavior control.
This could improve trust and reliability for AI agents interacting with tools or on-chain systems.
Would love feedback on whether something like this fits into the broader OpenGradient direction.
I recently built a small prototype called AgentGuard OS.
It acts as a real-time control layer for AI agents:
Demo: https://agentguard-gamma.vercel.app/
Idea:
Instead of each app handling safety separately, a middleware layer on top of OpenGradient Model Hub could standardize agent safety and behavior control.
This could improve trust and reliability for AI agents interacting with tools or on-chain systems.
Would love feedback on whether something like this fits into the broader OpenGradient direction.