Kite introduces an agent lifecycle management layer designed to govern the full operational cycle of autonomous agents, from initialization and authorization to execution, suspension, and termination. The protocol integrates hierarchical identity controls, deterministic agent logic, and an EVM-compatible runtime to ensure that agent behavior remains predictable, auditable, and securely bounded throughout its lifecycle.
The identity architecture underpins lifecycle governance through three isolated identity classes: users, agents, and privileged lifecycle controllers. Each class is associated with distinct credentials and permission scopes, enabling explicit control over agent creation, activation, delegation, and revocation. This structure ensures that agents cannot persist beyond authorized conditions and that lifecycle transitions are verifiable on-chain.
Within this framework, agents are instantiated with predefined operational parameters and behavioral constraints. The agent logic layer enforces deterministic state transitions across lifecycle phases, ensuring that agents execute tasks only when active, authorized, and compliant with assigned policies. Internal state persistence allows agents to resume operations consistently after pauses or upgrades, without introducing ambiguity in execution behavior.
Kite’s execution environment maintains EVM compatibility while incorporating lifecycle-aware validation. Before execution, agent instructions are evaluated against current lifecycle status and permission context. This prevents unauthorized execution during inactive or restricted states and ensures that all state transitions adhere to protocol-defined lifecycle rules.
A dedicated synchronization mechanism aligns lifecycle events with global state progression. Deterministic queuing and state-coherent batching ensure that lifecycle updates—such as activation, suspension, or termination—are processed consistently across distributed nodes. This guarantees uniform agent status and prevents divergence during concurrent operations.
The protocol’s two-phase token architecture supports lifecycle governance and execution continuity. The governance-phase token governs lifecycle policies, upgrade parameters, and system-wide controls. The execution-phase token powers agent activity during active phases, enabling predictable operational costs while preventing resource consumption outside authorized lifecycle states.
By integrating explicit lifecycle governance, deterministic agent execution, and synchronized state management, Kite establishes a comprehensive framework for managing autonomous agents at scale. The system ensures controlled agent behavior, transparent lifecycle transitions, and reliable execution across decentralized environments.
