Show HN: AI Agents Need Inspectable State. That's Why I Built LangMCP

I think is changing just the abstraction level, one must find the addequate size of every vibed task in order to be controllable, manage-able, and quelify-able, In my organization we use Tlamaitni, an AI asistant with workflow desginer based on deterministic agents that gives us complete control over AI, check it: https://xaiht.org

Inspectable state shows what the agent believed, not why it diverged. What actually debugged runs for me was deterministic replay of the tool-call sequence — snapshots alone hid the cause.