Kite is building a new kind of blockchain made for autonomous AI agents to pay, act, and govern themselves, not just for people to move tokens. It is an EVM-compatible Layer-1 designed for real-time, low-cost transactions so agents can send tiny payments and coordinate at machine speed while keeping compatibility with existing smart contracts and tooling.
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At the heart of Kite is a three-tier identity model that splits authority into user, agent, and session layers so humans keep ultimate control while agents get bounded, auditable power to act on their behalf. This lets a user create an agent with delegated keys and then spawn short-lived session identities for single tasks, which prevents runaway behavior and limits what an agent can spend or do. Smart contracts enforce those limits so the rules are mathematical and on-chain rather than just promises.
Technically, Kite runs as a high throughput, low fee chain tuned for huge numbers of microtransactions that AI systems may require. The network design emphasizes fast finality and minimal per-transaction cost so a swarm of agents can stream payments, settle credits, and coordinate without clogging fees. That focus on performance and predictable costs is what makes streaming micropayments and real-time coordination feasible for machine actors.
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Kite’s token, KITE, is planned as an active utility token rolled out in stages. The team describes a two-phase rollout where Phase 1 gives immediate utilities to participants at token generation so builders can join early, and Phase 2 — tied to mainnet launch — adds staking, governance, and fee functions so the token secures the chain and powers protocol decisions. This staged approach aims to let the ecosystem start to function quickly while reserving deeper security and governance features for when mainnet is live.
KITE
Beyond that, Kite’s economic design links usage to token value by converting a share of protocol fees from AI agent transactions back into KITE and using those flows to reward stakers and fund governance, which should create a sustainable loop between network activity and token demand. Token holders are expected to participate in governance, stake to secure the network, and pay or receive fees as agents transact, which together tie token utility to the health of the agent economy.
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Kite has also attracted institutional interest and venture backing, which the team and investors say validates the idea of machine-native payments and programmable identity in a decentralized form. Major strategic investors have highlighted Kite as an infrastructure play that could unlock real-world integrations where AI agents interact with services and value rails in near real time. The project has reported multiple funding rounds and investor support to accelerate protocol development and ecosystem tools.
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Practically, Kite is shipping more than just a chain: it aims to provide developer tools, marketplaces for discovering and composing agents, and on-chain primitives for logging provenance, data attribution, and payments to models or datasets. That means builders should be able to register agents, attach verifiable credentials, program spending limits, and monetize agent outputs in a way that leaves auditable trails on chain — useful for compliance and commercial integrations.
There are open questions to watch: exact mainnet timelines, final fee economics under real agent loads, security audits for the delegation and session machinery, and how off-chain AI risks (like hallucinations) will be handled in practice with on-chain limits and dispute processes. The space is evolving fast, so specifications, token mechanics, and integrations may change as Kite moves from testnets and launches more features.
