Brain Seed

Read {hub}/Machine/Memory/projects.md to get all registered projects.

For each registered project, scan these sources silently:

• README.md → project purpose, tech stack
• CLAUDE.md → tools, conventions, domain
• package.json / pyproject.toml / Cargo.toml / go.mod → dependencies and language
• .brain/brain.yaml → module type, framework
• Machine/Memory/context-cache.md → existing context
• Machine/Memory/entities.md → already-known entities
• Key source directories (scan filenames, not content — for speed)

Build a master list of:

• Domains → will become MOC notes (e.g., Trading, AI Tooling, Web Development, DevOps)
• Tools → will become entity notes (e.g., Supabase, Playwright, Vite, Docker)
• Platforms → entity notes (e.g., TradingView, Vercel, GitHub Actions)
• Languages/Frameworks → entity notes (e.g., Pine Script, React, FastAPI)
• Data sources → entity notes (e.g., COT, market sentiment data)
• Concepts → entity notes (e.g., Gann Analysis, WebSocket, MCP)
• People → entity notes (if referenced in project context)

Deduplication: Normalize names (lowercase comparison). If a note already exists in the hub vault, skip it. Only create new notes.

Step 4: Create MOC Hub Notes

For each discovered domain, create a MOC — {Domain}.md note if it doesn't exist:

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