【Deep Thinking: The Deadly Flaw of AI Agents】

Recently, I interacted with several on-chain AI dialogue systems and discovered a common phenomenon — they all suffer from severe "memory loss."

You clearly updated your holdings preferences five minutes ago, but the next moment, they treat you as a stranger. Opening a new chat window causes all previous context to instantly disappear. This is a true reflection of most current AI Agents: completely stateless(Stateless).

They have computational power but lack memory capability. To put it more vividly, each time a conversation is closed, they undergo a complete "brain capacity reset."

**This precisely exposes the biggest misalignment in the current Web3 community.**

Everyone is frantically competing — model parameters, computing power, hype around Agent concepts. But if you dig through various whitepapers, you'll find that only a few projects see through the core issue: if AI can't even remember user identities, then the so-called "intelligent agent" is at best a sophisticated chatbot.

Vanar Chain has proposed a different approach at this critical juncture. It no longer insists on the label of a gaming public chain but instead shifts focus to a higher-level infrastructure — creating an AI "memory layer."

This is an interesting narrative shift. From merely competing in L1 performance to becoming the cognitive foundation of the AI era. The underlying logic is quite straightforward:

**Without persistent identity recognition and state recording, AI Agents can only ever be tools.**

What Vanar aims to do is to turn "remembering" into a public chain-level infrastructure. This way, any AI application built on it will inherently possess deep user cognition — persistent interaction memory, accumulated behavioral data, and trustworthy identity information.

What seems like a technical detail adjustment is actually a redefinition of the value positioning of public chains in the AI era. From supporting gaming assets to hosting AI intelligence itself.

Whether this shift can succeed depends on whether it can truly solve the memory dilemma of on-chain AI applications. If successful, Vanar could evolve from being misunderstood as a "gaming public chain" into a key player in the AI infrastructure track.