mempalace.onboarding

Source: mempalace/onboarding.py

onboarding.py — MemPalace first-run setup.

Asks the user:

1. How they're using MemPalace (work / personal / combo)
2. Who the people in their life are (names, nicknames, relationships)
3. What their projects are
4. What they want their wings called

Seeds the entity_registry with confirmed data so MemPalace knows your world from minute one — before a single session is indexed.

Usage: python3 -m mempalace.onboarding or: mempalace init

Functions

run_onboarding

def run_onboarding(directory: str = '.', config_dir: Path = None, auto_detect: bool = True) -> EntityRegistry

Run the full onboarding flow. Returns the seeded EntityRegistry.

quick_setup

def quick_setup(mode: str, people: list, projects: list = None, aliases: dict = None, config_dir: Path = None, embedding_model: str = None) -> EntityRegistry

Programmatic setup without interactive prompts. Used in tests and benchmark scripts.

people: list of dicts {"name": str, "relationship": str, "context": str} embedding_model: optional "minilm" or "embeddinggemma". When set, writes the choice to config.json so subsequent runs pick the right EF. When omitted, the config stays untouched and the hard default ("minilm") governs.