Create a Personal Memory Graph powered by RAG and ethical voice cloning — preserve voices, stories and wisdom for generations to come.
A photo album captures one moment. An AI memory model captures patterns of thought — the way someone tells a story, gives advice, or laughs at the same joke twice. K-Will makes that possible for every family.
What is AI Memory Preservation?
AI Memory Preservation is the practice of turning a person's journals, voice recordings, photos and conversations into a queryable, conversational model. Unlike a static archive, this model can answer "What would Mom say about this?" decades after she's gone — using only the words she actually wrote and spoke.
The K-Will architecture
1. Memory Graph — every entity (people, places, events, emotions) is a node; relationships are edges. Built incrementally from journals via the populate-memory-graph engine. 2. RAG (Retrieval-Augmented Generation) — when you ask the companion a question, it retrieves the most relevant memories first, then asks Lovable AI Gateway (Gemini 2.5 Flash) to compose a faithful answer. 3. Ethical Voice Cloning — opt-in, requires 3 minutes of consented audio, watermarked with inaudible signatures so synthetic speech is detectable.
Why "ethical" matters
Voice cloning is powerful and dangerous. K-Will follows three rules:
Use cases for Canadian families
Privacy & Canadian compliance
All data is stored in Canadian regions, encrypted at rest, and protected by Row Level Security. The system is designed to comply with PIPEDA and Quebec's Law 25.
Open this on K-Will
K-Will requires a minimum of 3 minutes of consented, high-quality audio. More improves accuracy.
The RAG pipeline grounds every answer in retrieved source memories and shows citations. The system refuses to answer when no relevant memory exists.
Ownership transfers automatically to the executors named in your Smart Will.
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