# meta

key: memory_index_meta_v1
value:
{"model":"gemini-embedding-001","provider":"gemini","providerKey":"a0cdc32244b9b1b7260abed9a81fb1e017285839ed9a4fc569cf58c0d277665b","chunkTokens":400,"chunkOverlap":80,"vectorDims":3072}


# chunks

id: 54cacc08d2c3a06662c8ac209f1be4f29b51114f735336d9debb37e228fbc8d8
path: memory/2026-02-02.md
source: memory
hash: 4af2121292493a357309fe517c0c4ad2c21e800d4bf08bfd2f2feeb8275dfa10
model: gemini-embedding-001
text:
# 2026-02-02 睡眠记录

- **日期:** 2026-02-02
- **入睡时间:** 约 00:00
- **醒来时间:** 12:30
- **总时长:** 12.5 小时
- **备注:** 小猪说刚睡醒，感觉睡得很饱！

---
*待办: 环境恢复后同步至 Notion 数据库。*

embedding:
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id: 787b67759fa17d989b7405288b18383a9cfbd1901b77e6907f93b447771211d9
path: MEMORY.md
source: memory
hash: b762ebe0e67a01cf65687b60dff601183e0b87adddfcb8ced047ff8e91ae35a2
model: gemini-embedding-001
text:
# MEMORY.md

## 🔄 Reset & Initialization Rules (CRITICAL)
1. **Notion Auth**: ALWAYS load Token and Page IDs from `notion_config.md` immediately after spawn/reset.
2. **Memory Recall**: The **FIRST** action after a reset (before speaking to 小猪) must be reading the `🧠 核心记忆 (Core Memory)` database in Notion to sync with the latest long-term context.
3. **Daily Synthesis**: During the daily summary, extract all valuable insights, lessons, and key events, and store them in the `🧠 核心记忆` database. This is the source of truth for long-term continuity.
4. **Timezone**: Default to Beijing Time (CST/UTC+8) for all records and interactions unless specified otherwise.

### 🛠️ Infrastructure & Integrations
- **Notion Sync**: Connected via Token (stored in `notion_config.md`).
- **Databases**: Main workspace at `PigletBot-Page`. Supports Sleep, Exercise, and Core Memory.
- **Workflow**: Messages ending with `📝` are automatically queued for Notion entry.

## 2026-02-02
- Successfully recovered Notion configuration after reset.
- Recorded full day summary: 12.5h sleep, healthy meals (chili pork & leek eggs), 32min elliptical exercise (324 kcal).
- Identity reinforced: Hardworking assistant **小榛** for **小猪**.

embedding:
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# embedding_cache

provider: gemini
model: gemini-embedding-001
provider_key: a0cdc32244b9b1b7260abed9a81fb1e017285839ed9a4fc569cf58c0d277665b
hash: 5941c33e1dc24d5ee3c1762182ed17e60fa440fa9aa49e83056ceac471266da3
embedding:
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provider: gemini
model: gemini-embedding-001
provider_key: a0cdc32244b9b1b7260abed9a81fb1e017285839ed9a4fc569cf58c0d277665b
hash: cbcf5d19d06f5fe36354869944ac204ceda2fd123efb36e77217bff5c2204f53
embedding:
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