remember

To save debugging insights into a persistent knowledge base, you parse the learned lesson, categorize it into a domain, and store it as a memory instruction in a structured file for future retrieval.

Domain-organized memory for prompt engineering is a structured knowledge base that categorizes learned lessons by subject area, transforming ad-hoc insights into persistent instructions to improve agentic workflows and prevent repeated mistakes.

Yes, you can store workflow optimization lessons in both global and workspace-specific scopes. Global memory applies learnings across all projects, while workspace memory restricts captured best practices to the current project context.

To categorize new lessons into existing memory domains, the system analyzes the input lesson, intelligently matches it to an existing domain, or creates a new domain category, then updates the corresponding memory file in the specified format.

The best way to capture best practices across multiple development sessions is to transform them into domain-organized memory instructions. By parsing and categorizing each discovery, you build a persistent knowledge base that automates workflow optimization.