Aegis Policy

This is a governance layer for AI agent swarms that acts as a policy enforcement point. Think of it as a firewall that sits between your AI agents and their actions, checking decisions against configurable safety rules and organizational policies before letting them execute. You'd reach for this when you're running multiple autonomous agents and need centralized guardrails to prevent them from taking actions outside acceptable boundaries. The oracle pattern means agents query it for permission rather than embedding policy logic in each agent. Useful for enterprise deployments where compliance, safety constraints, or multi-agent coordination rules need to be enforced consistently across a fleet of AI workers.