remembering-conversations

To recall past conversations, you can search episodic memory to surface relevant decisions, patterns, and code examples. This condenses prior findings into actionable insights with sources to inform your current coding workflow.

Searching episodic memory involves dispatching a search agent to gather top results. It uses search and read tools to retrieve past conversations, synthesizing them into actionable insights to help overcome your current blocker.

You synthesize past coding workflows by retrieving memory lookups and condensing those findings into actionable insights with sources. This provides decision-support by surfacing relevant patterns from previous work.

Yes, you can use conversation synthesis to reduce rework after reviewing code. By querying past conversations, you retrieve historical context and decisions to inform your next best step without repeating previous exploration.

You need to search past conversations when you require historical context or guidance after exploring code, encountering blockers, or referencing previous work. It surfaces relevant decisions to prevent repeating past exploration efforts.

Episodic memory search is limited to surfacing relevant decisions and code examples from previously stored conversations. It requires dispatching the search agent and cannot synthesize insights from conversations that were not recorded.