Introducing Agent Versioning: engineering-grade governance for AI agents | Decagon

What this post added

Introduces Agent Versioning to the AI Support Agent Platform, enabling structured, data-backed evolution of AI agents. This includes isolated Workspaces for safe experimentation, Git-based tracking for versioning and validation, and enterprise-grade governance with structured reviews and auditability. It applies CI/CD principles to agent workflows, allowing for testing with unit tests or simulations before production deployment, and uses data from rollouts to compare metrics and benchmark new versions.