Nervous System - Multi-Agent AI Governance

You'd reach for this when you need structured oversight across multiple AI agents with different roles and risk profiles. It enforces behavioral boundaries through manifest files that define permissions, escalation rules, and reliability controls per agent. The thirteen included manifests cover everything from public-facing coaching (lily) to strict financial workflows (harry) to legal guidance with compliance boundaries (aram). The drift detection catches when agents deviate from their defined parameters. If you're orchestrating specialized agents that need different trust levels and operating constraints, this gives you a governance layer instead of hoping prompt engineering holds up under load.