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Agents: memory & learning
Agents get better over time through a durable persona, automatic learning, and retrospectives from completed work.
Capabilities
Role prompt
A structured, durable persona (Role, Rules, Examples, Sources) loaded into every run and editable via agent settings or tools.
Automatic role learning
A background agent proposes role-prompt additions from teaching moments in chat, which humans accept or reject. Enabled by default; controlled by a feature flag.
Task memory retrospectives
Closed tasks generate memory snippets that are injected as prior experience into similar future runs.
Agent personalization settings
Per-agent model, reasoning effort, service tier, Codex model/tier, default skillsets, and spend limit.