Unified learning across agent interactions to improve outcomes

We introduced a unified learning system that enables agents to learn from every interaction. Teams can choose learning types and plug in preferred storage backends, making continuous improvement a first-class capability without custom scaffolding. This reduces manual tuning, accelerates time-to-value, and provides consistent controls for how knowledge is captured and retained across agents and workflows.

Details

Configurable learning modes and retention policies to fit governance and cost requirements
Works across agents and workflows, with pluggable storage backends for flexibility
Low-ops adoption: enable learning without restructuring existing implementations

Who this is for: Platform teams scaling agent experiences that benefit from personalization, long-term context, and continuous improvement.