Near is one of the well-established public chains that I have recently been focusing on. After @NEARProtocol determined its strategic direction of 'intents Launchpad', subtle changes have occurred in on-chain data.
According to Defillama data, the growth rate of Near's intent transactions has significantly accelerated recently, with a cumulative trading volume surpassing $70 million in the past week. Given the current situation, Near already has the conditions to incubate Alpha phenomenon-level Dapps.
I believe this potential Alpha phenomenon-level protocol needs to meet three conditions:
1/ The narrative has a certain degree of innovation;
2/ Deeply integrated with the infrastructure of Near's AI intent layer;
3/ Strong support from the Near Foundation.
After studying the Near ecosystem in depth, I found that @intellex_xyz perfectly matches the Alpha I was looking for.
Condition One: Innovation of the narrative
@intellex_xyz tells a narrative of cross-chain interoperability for AI Agents. Currently, there is a serious fragmentation issue among different AI Agents: the differences in language models, data patterns, and underlying technology architectures are significant, and the lack of a common interoperability standard exacerbates the fragmentation problem.
@intellex_xyz emerged against this backdrop, providing interoperability infrastructure for AI Agents across different chains, enabling seamless and secure cross-chain connections for AI Agents.
In other words, @intellex_xyz is to AI Agents what IBC is to cross-chain interoperability. IBC solves the liquidity fragmentation issue between chains, while @intellex_xyz solves the fragmentation issue among different AI Agents.
Condition Two: Deep integration with Near's AI intent layer
Based on the comprehensive AI underlying infrastructure of @NEARProtocol, @intellex_xyz can achieve cross-chain permanent identity & shared memory, adaptive contracts (ASCs), decentralized federated learning, agent relationship management (ARM), and other application scenarios.
Specifically, AI Agents find it challenging to maintain continuity of identity across different chains, while Intellex's cross-chain permanent identity can preserve and share the interaction history, learning experiences, and reputation data of AI Agents; decentralized federated learning can enable seamless collaborative training of AI models among different AI Agents, fully leveraging the advantages of collective learning, and so on.
Condition Three: Strong support from the Near Foundation
@intellex_xyz is one of the first six protocols launched on the @NEARProtocol official intents-based launchpad platform, receiving clear support from the Near Foundation, making it a project that can be said to be born with a golden spoon.
Given that @intellex_xyz is about to launch TGE, I specifically took a look at the empowerment of the protocol's native token $ITLX: $ITLX is not limited to a governance token, but deeply integrates into the practical token of the Intellex architecture's supply and demand side. From the supply side perspective, AI Agents under the Intellex architecture need to stake $ITLX to participate in interoperability; from the demand side perspective, B/C end users need to pay $ITLX for services provided by AI Agents to address real needs.
@NEARProtocol must cultivate a phenomenon-level dapp to achieve the revival of public chains in this market round; we can expect @intellex_xyz to open this door to traffic for Near.
