README
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Node Manager: Runs on each node or endpoint where AI agents (or containers) execute. Monitors, starts, stops, and reports the status of AI agent processes.
Scheduler: Assigns AI agents or container workloads to available nodes based on resource availability, priorities, and policies.
Controller/Orchestrator: Oversees the desired state of AI agent clusters, scaling, rolling updates, fault recovery, and coordination.
Networking Manager: Handles secure communication, service discovery, and routing between AI agents distributed across nodes.
Storage Manager: Manages persistent data storage needed by AI agents for state, logs, or shared datasets.
Security and Policy Enforcer: Applies authentication, authorization, and runtime policies for agent behaviors and resource access.
API Server: Exposes interfaces to users or automated systems for controlling and querying the AI agent orchestration.
Directories