38 lines
1.4 KiB
Markdown
38 lines
1.4 KiB
Markdown
---
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name: memory
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description: Two-layer memory system with grep-based recall.
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always: true
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---
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# Memory
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## Structure
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- `memory/MEMORY.md` — Long-term facts (preferences, project context, relationships). Always loaded into your context.
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- `memory/HISTORY.md` — Append-only event log. NOT loaded into context. Search it with grep-style tools or in-memory filters. Each entry starts with [YYYY-MM-DD HH:MM].
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## Search Past Events
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Choose the search method based on file size:
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- Small `memory/HISTORY.md`: use `read_file`, then search in-memory
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- Large or long-lived `memory/HISTORY.md`: use the `exec` tool for targeted search
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Examples:
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- **Linux/macOS:** `grep -i "keyword" memory/HISTORY.md`
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- **Windows:** `findstr /i "keyword" memory\HISTORY.md`
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- **Cross-platform Python:** `python -c "from pathlib import Path; text = Path('memory/HISTORY.md').read_text(encoding='utf-8'); print('\n'.join([l for l in text.splitlines() if 'keyword' in l.lower()][-20:]))"`
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Prefer targeted command-line search for large history files.
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## When to Update MEMORY.md
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Write important facts immediately using `edit_file` or `write_file`:
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- User preferences ("I prefer dark mode")
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- Project context ("The API uses OAuth2")
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- Relationships ("Alice is the project lead")
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## Auto-consolidation
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Old conversations are automatically summarized and appended to HISTORY.md when the session grows large. Long-term facts are extracted to MEMORY.md. You don't need to manage this.
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