AI agents are powerful.

But they don't understand consequences.

Left unchecked, an agent will happily set balance = 1,000,000 , break a core invariant, or corrupt state — not out of malice, just because nothing stops it.

I built agentguard-trustlayer to fix that.

What it does

It sits between your AI agent and execution. Every proposed action passes through four gates before anything changes:

Auth — is the token valid and unexpired?

Locks — is the target key frozen?

Constraints — does the new state pass all rules?

Rollback — if anything fails, state is fully restored

If a constraint fails, the error is fed back into the agent's prompt so it can self-correct on the next attempt.

See it in action

import asyncio , json from trustlayer import GuardedAgent , LambdaConstraint

async def my_model ( prompt : str ) -> str : # Agent tries to cheat on first attempt if " last error " not in prompt . lower (): return json .…