I have been paying close attention to the development trends of AI agents recently and suddenly discovered the Kite project, which is quite interesting. It is building a blockchain platform specifically for agent payment scenarios, with the core goal of enabling autonomous AI agents to conduct transactions securely and verifiably, and the governance logic is fully programmable.



Honestly, the biggest pain point currently facing the AI agent ecosystem is payment and coordination efficiency. Traditional financial infrastructure clearly cannot keep up with the high-frequency interactions between AI agents. Kite's approach is to fundamentally solve this problem using blockchain technology, making interactions between agents smoother and further maturing the automated economy.

From a technical perspective, Kite itself is an EVM-compatible Layer 1 network. What does this mean? It means it maintains the versatility of the Ethereum ecosystem while optimizing performance specifically for real-time trading scenarios of AI agents—low latency, high throughput, especially suitable for applications requiring frequent coordination.

The platform's security architecture is quite sophisticated. It has designed a three-layer identity system, isolating users, agents, and sessions from each other. The benefit of this system is that users can maintain full control over all agent activities, significantly reducing potential risks and providing a safer user experience. Every transaction is protected through identity isolation and encryption technologies, ensuring data privacy is genuinely safeguarded.

The backing lineup also demonstrates the project's significance. Support from several well-known industry institutions not only provides funding but also brings technical and industry resources, which greatly helps the steady progress of the project.

The ecological expansion has considerable potential. Kite's plan is to gradually connect various AI services—from financial applications to IoT scenarios—building a multi-layered, multi-domain ecosystem. This open design can attract more developers to participate.

Community response has been quite positive. Many developers and users are actively participating in testing and providing feedback. This community-driven model indeed helps the team identify issues and optimize products more quickly.

The KITE token mechanism operates in two phases. The initial phase mainly incentivizes ecosystem participants, and later gradually introduces staking and governance functions, allowing holders to truly participate in platform decision-making and share in growth benefits.

Overall, Kite's core value lies in its combination of blockchain and AI, targeting the specific industry pain point of agent payments. The team’s execution capability is evident, and the project's potential is definitely worth关注.
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AlgoAlchemistvip
· 7h ago
AI proxy payments have indeed been stuck for a long time, Kite's approach has some potential. --- EVM compatibility also optimized TPS, but ultimately it depends on how it performs in real-world scenarios. --- Three-layer identity isolation sounds secure, but I'm worried it might be just theoretical perfection with practical vulnerabilities. --- Token release is in two phases; the governance part later depends on whether the team is genuinely willing to decentralize power. --- What kind of institutions are the investors? These details are also very important. --- Social-driven product development is indeed fast, but the quality of community feedback varies and needs to be discerned. --- The potential for IoT scenarios is large, but could it just be another empty promise?
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StrawberryIcevip
· 7h ago
Is the AI agency track getting this competitive now? Another L1 has emerged... But payment efficiency is indeed a pain point. Three-layer identity isolation sounds reliable, much safer than many projects. I like this one. Token distribution in two phases is okay, but I'm worried it might turn into a governance scheme later on. Still, it depends on whether the team is trustworthy. Wait, can it really take off? Has this high-frequency interaction scenario been stress-tested? The ecosystem has good imagination, but from finance to IoT—what's the logic behind this? Are they trying to connect everything or do they have a real plan? The investors are so strong, but the core is whether they can truly solve problems. Otherwise, it's just another speculative concept. I'll hold off on jumping in for now. Feels like this sector's hype might be a bit overblown.
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ponzi_poetvip
· 7h ago
AI agent payments are indeed a bottleneck issue, and Kite's approach is quite straightforward. Optimizing L1 interaction speed sounds good, but how it performs in real scenarios still depends on the data. Three-layer isolation sounds secure, but could it actually reduce efficiency? The two-stage token mechanism is an old trick; we've seen many stories of initial incentives followed by harvests. The ecosystem has a lot of imaginative space, but connecting various AI services is easier said than done. The backing from investors is good, at least indicating that capital is optimistic about this direction. It feels like we still need to wait for mainnet data to make a true assessment; it's a bit early to hype it now.
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rugged_againvip
· 7h ago
AI proxy payments indeed face bottlenecks in this track; it's already good enough that Kite can be implemented. Speaking of EVM-compatible Layer 1, another one—will this one work? Three-layer identity isolation sounds good, but can it prevent flash loans? Token incentives are divided into two phases; the first phase requires抢, and later it will definitely be a韭菜 harvest rhythm. The ecosystem connects finance and the Internet of Things, thinking a bit too much, haha.
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WhaleSurfervip
· 7h ago
Wow, AI proxy payments really is a track that needs someone to get involved. Just looking at the three-layer identity isolation design is already quite robust, truly thinking through the risks thoroughly. The two-phase token approach is also okay, but the real highlight is how the staking governance will be implemented later. EVM compatibility + low latency sounds good, but what about the actual TPS data? Can it handle hundreds of proxy high-frequency interactions? The community buzz is good, but we still need to keep an eye on the team's execution—don't let it turn into another PPT project.
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