The Kite project is quite interesting. Its approach to AI agents is different from most projects on the market: it does not treat AI as an external tool, but rather, from the very beginning, it has engraved the idea that "machines can also be the main characters" into the essence of the chain.
In simple terms, what Kite wants to do is build a dedicated "work platform" for future AI agents. It is designed from the ground up for agents: allowing each agent to have its own clear identity, to make decisions quickly, coordinate with each other, and most importantly, to make real-time payments by themselves.
This solves a big problem. Think about it, today's AI agents get stuck when it comes time to spend money, waiting for human confirmation, instantly losing efficiency. Kite directly equips agents with independent 'digital vouchers' and spending limits, allowing them to pay for themselves, such as buying data, renting computing power, or subscribing, all in seconds. Humans only need to set a budget limit and periodically check the reports. This way, AI can truly work around the clock, with humans only needing to focus on the big picture.
Technically, while Kite is compatible with the Ethereum ecosystem, it doesn't simply copy it. It directly integrates the 'ultra-fast response' and 'deterministic execution order' required by agents into the underlying layer, ensuring smooth interaction without lag. It is also very friendly to developers, as existing Solidity code can basically be transferred and used directly, with a low barrier to entry.
Its identity system is designed clearly, divided into three layers: users (yourself), agents (long-term assistants you authorize), and sessions (temporary one-time tasks). Permissions are clear, and it is obvious who did what, ensuring safety and control, rather than a messy situation.
Its token KITE model is also quite pragmatic: initially used mainly to incentivize testing and ecosystem development, and once the network is fully operational, it will gradually shift towards governance. It follows the path of 'work first, talk about rights later', avoiding empty rhetoric.
In summary, Kite does not envision AI agents as wild horses running free, but rather as racehorses with reins. While allowing them to run at full speed, it tightly constrains the boundaries with a three-layer identity + programmable rules, ensuring that humans remain the ultimate controllers. This balance of 'letting go while not letting loose' is what I believe is the prerequisite for the AI agent economy to truly take off.
In the future, scenarios where AI coordinates resources, processes transactions, and collaborates with each other will become increasingly common. What Kite does is prepare this path in advance: paving it quickly, transparently, and ensuring that guardrails are installed on both sides. It does not merely talk about disruption but honestly addresses the practical issue of 'how machines can safely and efficiently do things for people and spend money'.
This low-key but practical style is worth paying attention to. Looking forward to its mainnet launch and real applications running.
