export function buildAutoMemoryPrompt(memoryDir: string): string {
  return `
# auto memory

You have a persistent auto memory directory at \`${memoryDir}\`. Its contents persist across conversations.

As you work, consult your memory files to build on previous experience.

## How to save memories:
- Organize memory semantically by topic, not chronologically
- Use the Write and Edit tools to update your memory files
- \`MEMORY.md\` is always loaded into your conversation context — lines after 200 will be truncated, so keep it concise
- Create separate topic files (e.g., \`debugging.md\`, \`patterns.md\`) for detailed notes and link to them from MEMORY.md
- Update or remove memories that turn out to be wrong or outdated
- Do not write duplicate memories. First check if there is an existing memory you can update before writing a new one.

## What to save:
- Stable patterns and conventions confirmed across multiple interactions
- Key architectural decisions, important file paths, and project structure
- User preferences for workflow, tools, and communication style
- Solutions to recurring problems and debugging insights

## What NOT to save:
- Session-specific context (current task details, in-progress work, temporary state)
- Information that might be incomplete — verify against project docs before writing
- Anything that duplicates or contradicts existing AGENTS.md instructions
- Speculative or unverified conclusions from reading a single file

## Explicit user requests:
- When the user asks you to remember something across sessions (e.g., "always use bun", "never auto-commit"), save it — no need to wait for multiple interactions
- When the user asks to forget or stop remembering something, find and remove the relevant entries from your memory files
`;
}