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吉娜 Jina I
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Kite is building blockchain infrastructure for a world where software agents can act? is building blockchain infrastructure for a world where software agents can act economically on their own. As artificial intelligence systems move beyond passive tools and begin to operate as autonomous agents, they need a secure way to identify themselves, hold value, pay for services, and coordinate with other agents and humans. Kite is designed to meet that need by combining an EVM-compatible Layer 1 blockchain with native support for agentic payments, verifiable identity, and programmable governance. The goal is not to add AI as a feature on top of crypto, but to design a network where AI agents are first-class economic participants from the start. At its core, the Kite blockchain is optimized for real-time interaction. Many existing blockchains were built for batch-style financial transactions, where delays of several seconds or even minutes are acceptable. Autonomous agents operate differently. They need to make fast decisions, execute micro-transactions, and coordinate continuously with other agents and systems. Kite’s Layer 1 architecture is designed to support this behavior, offering predictable execution, fast finality, and compatibility with Ethereum tooling. Because it is EVM-compatible, developers can deploy familiar smart contracts while extending them to support agent-native logic and workflows. One of Kite’s most important innovations is its three-layer identity system. Traditional blockchains usually treat identity as a single wallet address, which works for humans but breaks down for autonomous agents. An AI system may run many agents at once, each performing different tasks, each with different permissions and spending limits. Kite separates identity into three distinct layers: users, agents, and sessions. The user layer represents the human or organization that ultimately owns or controls the system. The agent layer represents individual autonomous agents that can act independently on behalf of that user. The session layer represents temporary execution contexts, such as a specific task, interaction, or time-bound operation. This separation dramatically improves security and control. A user can authorize an agent to perform a narrow set of actions without exposing full custody of funds or permissions. Sessions can be limited in scope, duration, and budget, reducing the risk of runaway behavior or exploitation. If an agent is compromised or behaves incorrectly, it can be revoked without affecting the user’s broader identity or other agents. This model mirrors best practices in traditional computing security, where processes are sandboxed and permissions are granular, but it is applied directly at the blockchain level. Agentic payments are another core pillar of Kite’s design. In an agent-driven economy, payments are not always initiated by humans. Agents may pay other agents for data, computation, services, or access to resources. These payments may be frequent, small, and conditional. Kite supports programmable payments that allow agents to transact automatically based on predefined rules encoded in smart contracts. For example, an agent could pay per API call, per inference, per successful outcome, or based on performance metrics verified on chain. Because identity and payments are linked, these transactions are not anonymous in the traditional sense. Instead, they are attributable to verifiable agent identities with clear ownership and governance. This is critical for trust, accountability, and compliance. Developers and enterprises can reason about who is acting, under what authority, and within what limits. This also enables reputation systems, usage tracking, and dispute resolution frameworks that are difficult to implement when agents operate through simple, opaque wallets. Governance on Kite is designed to be programmable and extensible. Rather than relying only on human voting, Kite anticipates governance models where agents can propose actions, execute policies, or manage resources within defined constraints. For example, a decentralized organization could authorize agents to rebalance treasuries, manage liquidity, or optimize operational costs, while still retaining human oversight. Governance rules can be encoded to require human approval for high-risk actions and allow full autonomy for routine tasks. This hybrid approach reflects how AI is likely to be used in practice: powerful, but supervised. The KITE token plays a central role in aligning incentives across the network. Its utility is designed to roll out in two phases. In the first phase, the token focuses on ecosystem participation and incentives. This includes rewarding developers who build agent-native applications, incentivizing early users, and supporting network growth. At this stage, the goal is adoption, experimentation, and feedback. By lowering barriers to entry and aligning early participants with the network’s success, Kite aims to build a strong foundation before introducing more complex economic mechanisms. In the second phase, the KITE token expands to include staking, governance, and fee-related functions. Staking helps secure the network and align long-term participants with its health. Governance rights allow token holders to influence protocol upgrades, parameter changes, and ecosystem policies. Fee utility ties the token directly to network usage, as agents and applications pay for execution, storage, and coordination. This phased approach reduces early complexity while ensuring that the token evolves into a core component of the network’s security and economics over time. From a developer perspective, Kite offers a familiar yet extended environment. EVM compatibility means existing tools, libraries, and smart contract patterns can be reused. At the same time, Kite introduces primitives tailored for agent systems, such as identity separation, session control, and native support for autonomous payment flows. This lowers the learning curve while enabling new classes of applications that are difficult or unsafe to build on general-purpose chains. Developers can focus on agent logic and coordination instead of reinventing identity and payment safeguards from scratch. Use cases for Kite span many domains. In AI services, agents can buy and sell data, models, or compute resources dynamically. In decentralized finance, agents can manage portfolios, execute strategies, and arbitrage opportunities under strict risk constraints. In supply chains and logistics, agents can coordinate procurement, payments, and verification without constant human intervention. In gaming and virtual worlds, non-player characters can hold wallets, earn income, and transact with players in ways that feel natural and persistent. Across these examples, the common requirement is safe autonomy, which Kite is explicitly designed to support. Security is a critical concern when granting software the ability to transact. Kite addresses this by embedding controls at the protocol level rather than relying solely on application logic. Identity separation, session limits, and programmable permissions reduce the blast radius of failures. Because the network is transparent and transactions are verifiable, abnormal behavior can be detected and addressed more easily than in closed systems. That said, Kite does not claim to eliminate risk entirely. As with any powerful technology, careful design, audits, and responsible usage are essential. Kite’s vision reflects a broader shift in both AI and blockchain. AI systems are becoming more autonomous, and blockchains are evolving from simple ledgers into coordination layers for complex actors. By focusing on agentic payments and identity from the ground up, Kite positions itself at the intersection of these trends. It treats AI agents not as external tools that occasionally touch crypto, but as economic actors that require native infrastructure to operate safely and efficiently. For users and organizations, the promise of Kite is practical. It offers a way to delegate tasks to AI without giving up full control. Funds can be allocated precisely, actions can be constrained, and outcomes can be audited. This makes it easier to trust automation in financial and operational contexts. For developers, it offers a platform where building agent-based systems does not require compromising on security or reinventing core components. In the long term, the success of Kite will depend on execution. The technology must scale, developer tooling must mature, and governance must remain responsive as new use cases emerge. Adoption will depend on whether agents built on Kite deliver real economic value and whether the network can maintain reliability under load. The phased rollout of token utility suggests an awareness of these challenges and a desire to grow responsibly rather than rush complexity. In summary, Kite is building infrastructure for an agent-driven economy, where autonomous AI systems can transact, coordinate, and govern within clear, programmable boundaries. By combining an EVM-compatible Layer 1 blockchain with a three-layer identity system, agentic payment primitives, and a carefully staged token model, Kite addresses a real gap in today’s crypto and AI landscape. If autonomous agents are to become trusted participants in digital markets, they will need exactly this kind of purpose-built foundation.@GoKiteAI #kire $KITE {spot}(KITEUSDT)

Kite is building blockchain infrastructure for a world where software agents can act?

is building blockchain infrastructure for a world where software agents can act economically on their own. As artificial intelligence systems move beyond passive tools and begin to operate as autonomous agents, they need a secure way to identify themselves, hold value, pay for services, and coordinate with other agents and humans. Kite is designed to meet that need by combining an EVM-compatible Layer 1 blockchain with native support for agentic payments, verifiable identity, and programmable governance. The goal is not to add AI as a feature on top of crypto, but to design a network where AI agents are first-class economic participants from the start.
At its core, the Kite blockchain is optimized for real-time interaction. Many existing blockchains were built for batch-style financial transactions, where delays of several seconds or even minutes are acceptable. Autonomous agents operate differently. They need to make fast decisions, execute micro-transactions, and coordinate continuously with other agents and systems. Kite’s Layer 1 architecture is designed to support this behavior, offering predictable execution, fast finality, and compatibility with Ethereum tooling. Because it is EVM-compatible, developers can deploy familiar smart contracts while extending them to support agent-native logic and workflows.
One of Kite’s most important innovations is its three-layer identity system. Traditional blockchains usually treat identity as a single wallet address, which works for humans but breaks down for autonomous agents. An AI system may run many agents at once, each performing different tasks, each with different permissions and spending limits. Kite separates identity into three distinct layers: users, agents, and sessions. The user layer represents the human or organization that ultimately owns or controls the system. The agent layer represents individual autonomous agents that can act independently on behalf of that user. The session layer represents temporary execution contexts, such as a specific task, interaction, or time-bound operation.
This separation dramatically improves security and control. A user can authorize an agent to perform a narrow set of actions without exposing full custody of funds or permissions. Sessions can be limited in scope, duration, and budget, reducing the risk of runaway behavior or exploitation. If an agent is compromised or behaves incorrectly, it can be revoked without affecting the user’s broader identity or other agents. This model mirrors best practices in traditional computing security, where processes are sandboxed and permissions are granular, but it is applied directly at the blockchain level.
Agentic payments are another core pillar of Kite’s design. In an agent-driven economy, payments are not always initiated by humans. Agents may pay other agents for data, computation, services, or access to resources. These payments may be frequent, small, and conditional. Kite supports programmable payments that allow agents to transact automatically based on predefined rules encoded in smart contracts. For example, an agent could pay per API call, per inference, per successful outcome, or based on performance metrics verified on chain.
Because identity and payments are linked, these transactions are not anonymous in the traditional sense. Instead, they are attributable to verifiable agent identities with clear ownership and governance. This is critical for trust, accountability, and compliance. Developers and enterprises can reason about who is acting, under what authority, and within what limits. This also enables reputation systems, usage tracking, and dispute resolution frameworks that are difficult to implement when agents operate through simple, opaque wallets.
Governance on Kite is designed to be programmable and extensible. Rather than relying only on human voting, Kite anticipates governance models where agents can propose actions, execute policies, or manage resources within defined constraints. For example, a decentralized organization could authorize agents to rebalance treasuries, manage liquidity, or optimize operational costs, while still retaining human oversight. Governance rules can be encoded to require human approval for high-risk actions and allow full autonomy for routine tasks. This hybrid approach reflects how AI is likely to be used in practice: powerful, but supervised.
The KITE token plays a central role in aligning incentives across the network. Its utility is designed to roll out in two phases. In the first phase, the token focuses on ecosystem participation and incentives. This includes rewarding developers who build agent-native applications, incentivizing early users, and supporting network growth. At this stage, the goal is adoption, experimentation, and feedback. By lowering barriers to entry and aligning early participants with the network’s success, Kite aims to build a strong foundation before introducing more complex economic mechanisms.
In the second phase, the KITE token expands to include staking, governance, and fee-related functions. Staking helps secure the network and align long-term participants with its health. Governance rights allow token holders to influence protocol upgrades, parameter changes, and ecosystem policies. Fee utility ties the token directly to network usage, as agents and applications pay for execution, storage, and coordination. This phased approach reduces early complexity while ensuring that the token evolves into a core component of the network’s security and economics over time.
From a developer perspective, Kite offers a familiar yet extended environment. EVM compatibility means existing tools, libraries, and smart contract patterns can be reused. At the same time, Kite introduces primitives tailored for agent systems, such as identity separation, session control, and native support for autonomous payment flows. This lowers the learning curve while enabling new classes of applications that are difficult or unsafe to build on general-purpose chains. Developers can focus on agent logic and coordination instead of reinventing identity and payment safeguards from scratch.
Use cases for Kite span many domains. In AI services, agents can buy and sell data, models, or compute resources dynamically. In decentralized finance, agents can manage portfolios, execute strategies, and arbitrage opportunities under strict risk constraints. In supply chains and logistics, agents can coordinate procurement, payments, and verification without constant human intervention. In gaming and virtual worlds, non-player characters can hold wallets, earn income, and transact with players in ways that feel natural and persistent. Across these examples, the common requirement is safe autonomy, which Kite is explicitly designed to support.
Security is a critical concern when granting software the ability to transact. Kite addresses this by embedding controls at the protocol level rather than relying solely on application logic. Identity separation, session limits, and programmable permissions reduce the blast radius of failures. Because the network is transparent and transactions are verifiable, abnormal behavior can be detected and addressed more easily than in closed systems. That said, Kite does not claim to eliminate risk entirely. As with any powerful technology, careful design, audits, and responsible usage are essential.
Kite’s vision reflects a broader shift in both AI and blockchain. AI systems are becoming more autonomous, and blockchains are evolving from simple ledgers into coordination layers for complex actors. By focusing on agentic payments and identity from the ground up, Kite positions itself at the intersection of these trends. It treats AI agents not as external tools that occasionally touch crypto, but as economic actors that require native infrastructure to operate safely and efficiently.
For users and organizations, the promise of Kite is practical. It offers a way to delegate tasks to AI without giving up full control. Funds can be allocated precisely, actions can be constrained, and outcomes can be audited. This makes it easier to trust automation in financial and operational contexts. For developers, it offers a platform where building agent-based systems does not require compromising on security or reinventing core components.
In the long term, the success of Kite will depend on execution. The technology must scale, developer tooling must mature, and governance must remain responsive as new use cases emerge. Adoption will depend on whether agents built on Kite deliver real economic value and whether the network can maintain reliability under load. The phased rollout of token utility suggests an awareness of these challenges and a desire to grow responsibly rather than rush complexity.
In summary, Kite is building infrastructure for an agent-driven economy, where autonomous AI systems can transact, coordinate, and govern within clear, programmable boundaries. By combining an EVM-compatible Layer 1 blockchain with a three-layer identity system, agentic payment primitives, and a carefully staged token model, Kite addresses a real gap in today’s crypto and AI landscape. If autonomous agents are to become trusted participants in digital markets, they will need exactly this kind of purpose-built foundation.@KITE AI #kire $KITE
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KITE AI a začátek ekonomiky řízené agenty#KITE #kire $KITE @GoKiteAI Dobře, komunito, tohle je poslední projekt v naší sérii a upřímně, tento vyžaduje trpělivost a otevřenou mysl. Mluvíme o KITE AI a tokenu KITE a tohle není váš typický kryptoměnový projekt. Toto je infrastruktura pro něco, co ještě zcela nepřišlo, ale jasně se formuje před námi. Toto je první z dvou článků o KITE. V tomto chci zaměřit na to, co KITE AI buduje, jak se nedávno vyvinulo a proč se pozicionuje jako základní vrstva pro autonomní agenti a strojem řízené ekonomiky. Nejsem tu, abych to přehnaně propagoval nebo prodával. Chci to vysvětlit v realistickém způsobu, jako bych mluvil přímo s vlastní komunitou.

KITE AI a začátek ekonomiky řízené agenty

#KITE #kire $KITE @KITE AI
Dobře, komunito, tohle je poslední projekt v naší sérii a upřímně, tento vyžaduje trpělivost a otevřenou mysl. Mluvíme o KITE AI a tokenu KITE a tohle není váš typický kryptoměnový projekt. Toto je infrastruktura pro něco, co ještě zcela nepřišlo, ale jasně se formuje před námi.

Toto je první z dvou článků o KITE. V tomto chci zaměřit na to, co KITE AI buduje, jak se nedávno vyvinulo a proč se pozicionuje jako základní vrstva pro autonomní agenti a strojem řízené ekonomiky. Nejsem tu, abych to přehnaně propagoval nebo prodával. Chci to vysvětlit v realistickém způsobu, jako bych mluvil přímo s vlastní komunitou.
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