@KITE AI #kITE $KITE Most AI systems today operate in isolation. Kite changes this by enabling agent-oriented planning, where multiple agents collaborate toward shared objectives.
In this framework, a meta-agent defines a strategy, while specialized sub-agents handle forecasting, negotiation, execution, and settlement. Reward models continuously evaluate outcomes, optimizing the system over time. Because everything happens on-chain, performance is transparent and verifiable.
Consider a logistics use case: one agent predicts demand, another negotiates supplier terms, a third manages escrowed stablecoins, and a final agent confirms delivery before releasing payment. No emails, no intermediaries, no delays.
This structure removes human bottlenecks while maintaining accountability. Agents that perform well gain reputation and future opportunities, while poorly performing agents are filtered out naturally.
Kite doesn’t just automate tasks—it enables organized autonomy, where collaboration scales without chaos.
