Glossary

An AI agent with a memory is one that keeps what it learns about you and your work, attaches it to your account rather than to one app, and applies it wherever you use the agent next.

Agent memory is what an agent stores between sessions and brings back when it is relevant: standing rules, facts, studied material, and short summaries of past conversations.

Cross-surface memory is one memory attached to your account that every surface reads and writes, so a rule set in the terminal holds in chat and something learned in chat is available to code running through the SDK.

A self-learning agent is one that improves from what happens while it works: a correction you make, a task outcome, an edit you accept or reject. It changes its behaviour rather than only its context.

An agent runtime is the engine an agent actually runs on: it holds the session, decides which tools to call, streams the reply, and enforces limits. In Dropstone the same runtime serves chat, the CLI, and the SDK.