Kite uses a three layer identity architecture designed specifically for AI agent ecosystems. These layers are user, agent, and session. Each layer has a separate role and responsibility.
The user is the owner of funds and permissions. The agent is an automated entity that performs tasks. The session defines the scope of authority for the agent. This separation prevents misuse and simplifies control.
In most blockchain systems, agents operate directly from a wallet. This creates security risks because permissions are often broad and permanent. Kite avoids this by isolating permissions inside sessions.
A session includes time limits, spending limits, and task specific rules. Agents cannot act outside these parameters. This ensures automation without exposing user funds to unlimited risk.
This identity design is essential for scalable AI systems. As more agents interact with multiple services, clear identity boundaries become necessary. Kite ensures that each action can be traced to a specific agent and session.
Developers benefit from this structure because they can deploy agents with confidence. They do not need to create custom security layers for every application. Kite handles identity control at the protocol level.
The system also improves accountability. If an issue occurs, it is easy to identify which agent acted and under which session. This is important for debugging, compliance, and user trust.
Kite identity architecture supports long term automation by making agent behavior predictable and controllable. This design allows AI agents to operate efficiently while keeping users in full control.
