remember

You can save project context to AI memory by explicitly recording important facts, architectural decisions, and debugging workarounds with context and a timestamp to a dedicated MEMORY.md file.

Yes, you can persist architectural decisions and tool-specific nuances across sessions by writing them to a dedicated MEMORY.md file, ensuring hard-won insights survive beyond standard conversational context.

Knowledge management handles duplicate entries by checking for existing similar knowledge before saving, preventing redundant entries and encouraging concise, one-line entries for efficient memory management.

The best way to retain team conventions is to explicitly save critical project-specific information to the AI's auto-memory, ensuring team rules and configurations are readily available for future sessions.

Yes, auto-memory supports manually recording specific workarounds for recurring bugs by allowing you to save the exact command or configuration change needed, ensuring the AI remembers it for future occurrences.

The primary limitation of the entry format is that it encourages brief, one-line entries to maintain efficient memory management, meaning highly complex debugging insights may need condensing before saving.