Memory-less AI is a nervous creature.
Constantly asks again. Constantly starts over. Seems smart right up until the first complex action
In most AI-Enabled systems, memory is something external. A database is somewhere on the side. Cache. Temporary buffer. As long as everything is simple - it works. When a long context and a sequence of decisions appear - strange pauses and phrases like "I don't remember why we are here..." begin.
For AI, memory is not an option. It's a foundation. Without it, there is neither logic nor automation. There are only reactions to the last request. Quick. Empty.
In the approach @Vanarchainmemory is considered as part of the infrastructure, not as a superstructure. It's not about "tacking on storage," but rather from the start, enabling the possibility to store context and return to it at the chain level.
AI-Enabled vs. AI-Ready
It is here $VANRY that it logically connects with usage - when memory works not as a temporary notebook, but as a long-term archive of actions and decisions.
I do not claim that this is the only right path. But it seems that without memory, any AI sooner or later begins to get confused in its own steps.
And this is no longer about the "smart world," but about imitation. Let's move on!
#Vanar
👉 Subscribe to me if you are interested in watching how AI learns to remember on the blockchain.
