Kybernis – Prevent AI agents from executing the same action twice

AI agents increasingly execute real system actions: issuing refunds, modifying databases, deploying infrastructure, calling external APIs.

Because agents retry steps, re-plan tasks, and run asynchronously, the same action can sometimes execute more than once.

In production systems this can cause duplicate payouts, repeated mutations, or inconsistent state.

Kybernis is a reliability layer that sits at the execution boundary of agent systems.

When an agent calls a tool:

1. execution intent is captured 2. the action is recorded in an execution ledger 3. idempotency guarantees are attached 4. the mutation commits exactly once

Retries become safe.

Kybernis is framework-neutral and works with agent frameworks like LangGraph, AutoGen, CrewAI, or custom systems.

I built this after repeatedly seeing reliability failures when AI agents interacted with production APIs.

Would love feedback from anyone building agent systems.