Picture a smarter way to manage your AI agents: AgentGate is a protocol that puts you in control. Instead of letting applications like Zoom, Slack, and other tools run freely, you set the boundaries through your "agentic power" policy—defining what agents can do based on their activity level, token consumption, spending thresholds, and custom metrics you configure.

The setup? A lightweight daemon running locally on your machine continuously monitors your agentic power status in real-time. Once your agents hit the parameters you've defined—whether that's reaching a certain token burn rate, hitting your budget ceiling, or triggering custom alerts—the protocol automatically restricts access to your chosen applications. No agents running wild. No unnecessary meetings cluttering your day.

This shifts the control back to you. You're not just reacting to agent behavior; you're architecting it. The granularity here matters: agents respect your rules, applications stay gated until conditions align, and your computational resources stay optimized. It's a fresh take on autonomous agent governance—one that acknowledges both the power and the need for boundaries in an agent-driven world.