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Personal Assistants

Build assistants that learn user preferences, habits, and routines — getting better with every interaction.

Key Capabilities

  • Preference learning over time
  • Habit pattern detection
  • Proactive suggestions
  • Causal understanding of user behavior

Example Code

Personal Assistants — Engramma SDK
python
1# Store observed preference2client.memory.store(3    text="User orders coffee every Monday at 9am",4    context={"type": "routine", "day": "monday"}5)67# Query causal relationships8why = client.engine.explain(9    query="Why does the user order coffee on Mondays?",10    mode="detailed"11)

Build personal assistants with cognitive memory

Start free — deploy in minutes with the Python SDK.