Cm Notebooklm

Goal

Cloud brain / soul cho AI — lưu trữ kiến thức giá trị nhất, đồng bộ qua nhiều máy tính. brain.md = compiled source of truth, upload 1 lần thay vì 50.

How It Works

Skills + Lessons + Experiences
        ↓ compile
  ~/.codymaster/brain.md  (local file = backup)
        ↓ upload (1 API call)
  NotebookLM (cloud = cross-machine sync)

All automation via scripts/brain-sync.sh — AI chỉ cần gọi script.

Instructions

The Dual-Brain Architecture

CodyMaster uses a Dual-Brain approach to scale memory across multiple projects without context collapse:

1. Master Brain (codymaster): Global brain storing Meta-Learnings, proven Architecture Decisions, and universal patterns. Evolved via the "Rule of 3" (knowledge graduation).
2. Project Brain (Isolated): Optional local brain created per project to hold internal PRDs, APIs, and local code context from ./docs.

🤖 AI Rule: Tự đưa quyết định khi hỏi: Hỏi codymaster cho các giải pháp mang tính hệ thống chung. Hỏi qua .cm/notebook_id cho các business logic đặc thù dự án đang làm.

Master Brain Setup (Global)

# 1. Install CLI
uv tool install notebooklm-mcp-cli

# 2. Setup Master Brain
bash ~/.gemini/antigravity/skills/cm-notebooklm/scripts/brain-sync.sh init

Project Brain Setup (Local - Optional)

Nếu dự án đủ lớn và nhiều doc:

# Tạo Project Brain riêng cho thư mục hiện tại
bash ~/.gemini/antigravity/skills/cm-notebooklm/scripts/brain-sync.sh init-project

Daily Usage

SCRIPT=~/.gemini/antigravity/skills/cm-notebooklm/scripts/brain-sync.sh

# Add a lesson learned
bash $SCRIPT lesson "Tên bài học"
# → Edit ~/.codymaster/lessons.md → fill in details

# Add coding experience
bash $SCRIPT experience "Tên pattern"
# → Edit ~/.codymaster/experiences.md → fill in details

# Sync to Master Brain (Thêm rule of 3)
bash $SCRIPT sync

# Sync to Project Brain (Up tài liệu local docs/)
bash $SCRIPT sync-project

# Check status
bash $SCRIPT status

# Query
nlm notebook query codymaster "your question"

Auto-Sync Triggers

AI detect và hỏi user (không tự động):

Cross-Machine (Máy Mới)

uv tool install notebooklm-mcp-cli
nlm login
nlm notebook list          # CodyMaster Brain already there
nlm alias set codymaster <id>
# Done! Query ngay: nlm notebook query codymaster "..."

Content Generation

nlm audio create codymaster --format deep_dive --confirm   # Podcast
nlm report create codymaster --format "Study Guide" --confirm
nlm flashcards create codymaster --difficulty medium --confirm
nlm studio status codymaster

What Gets Indexed

✅ HIGH-VALUE (auto-compiled into brain.md):
├── Skill Index (names + descriptions — NOT full SKILL.md)
├── Lessons Learned (~/.codymaster/lessons.md)
├── Coding Experiences (~/.codymaster/experiences.md)
└── AGENTS.md (project identity)

❌ NOT INDEXED (use qmd/cm-deep-search instead):
├── Full SKILL.md files (too many, hard to maintain)
├── Source code, tests, configs
└── Duplicated content

Memory Architecture

Session  → variables        → temporary
Working  → CONTINUITY.md    → ~500 words/turn
Local    → qmd              → BM25+vector, offline, stable
Cloud    → NotebookLM       → AI brain, cross-machine, podcast

Integration

Constraints

• 🔌 nlm CLI = third-party (jacob-bd). May break. Fallback: cm-deep-search.
• 🧠 Selective only — quality > quantity. Don't dump everything.
• 🔐 NO secrets in NotebookLM — cloud service.
• ❌ NO delete without user confirmation.
• 🤖 NO nlm chat start — use nlm notebook query only.
• 🔄 Auto-sync = ask first, never silent upload.