Building the future of ethical memory retrieval

Preserving memories through ethical AI.

EchoVault transforms historical conversations, journals, and voice notes into a secure, searchable emotional memory system. No deepfakes. No hallucinations. Just your memories, preserved.

Privacy-first RAG architecture · You own 100% of your data

Conversation · 2021

"You'll figure it out — you always do. Just give it time."

Journal · Spring 2022

"Today felt heavy, but I noticed small wins again."

Voice note · Aug 2023

"Reminder: trust the long arc. Patience is a strategy."

Principles

Built on principles, not promises.

Five ethical commitments that shape every layer of the system.

Privacy first

Your memories never leave your private namespace.

End-to-end encryption

AES-256 at rest. TLS in transit. Always.

User-owned memories

You retain full control of every fragment.

Not a human simulation

An analytical companion — never a clone.

Right to delete

One click. Permanent. No recovery shadows.

MI
Founder

A companion, not a clone.

EchoVault AI was created to explore how artificial intelligence can preserve emotional context, memories, and human communication patterns — without crossing ethical boundaries.

Mohammed Ikram Ashrafi

AI systems & backend engineer — RAG architectures, FastAPI systems, scalable AI infrastructure, emotional intelligence systems.

  • RAG architectures
  • FastAPI systems
  • Scalable AI infrastructure
  • Emotional intelligence systems
How it works

From raw memory to grounded reflection.

01

Upload memories

Drop WhatsApp exports, journals, voice notes — fully private ingestion.

02

AI organizes patterns

Emotional, temporal, and semantic embeddings shape your vault.

03

Semantic retrieval

Top-K vector search with emotional and temporal re-ranking.

04

Reflect safely

Grounded responses cite real memories — no fabrication.

MVP capabilities

Everything your memory deserves.

WhatsApp chat import

Drop .txt exports — temporal chunking handles years of context.

Emotional timeline

Visualize emotional patterns across years of conversations.

AI memory search

Vector search with emotional, temporal, and metadata re-ranking.

Secure vault

Per-user namespace isolation in Qdrant. RLS in Postgres.

Contextual reflection

Grounded analytical responses, citing real memory fragments.

Memory analytics

Emotion, topic, speaker, and continuity metrics over time.

Architecture

An ethical RAG pipeline, end to end.

User
Upload
Embeddings
Vector DB
Retrieval
LLM
Response
FastAPI
LangChain
Qdrant
HuggingFace
Groq
LLaMA-3
Reflection, not simulation

A sample memory interaction.

I'm stressed about my future.
Looking through conversations from 2021, they often encouraged you to trust your growth during uncertain times.
Memory · WhatsApp · Jun 2021Memory · Journal · Aug 2022Confidence 0.92

Responses are analytical and grounded — never personified.

On the horizon

The future of memory intelligence.

Building the next generation of ethical emotional AI — focused on reflection, memory preservation, and human-centered intelligence.

Research preview

Voice memory reconstruction

Coming soon

Beta

Emotional relationship timelines

Coming soon

Beta

AI memory journaling

Coming soon

Experimental

Semantic voice search

Coming soon

Research preview

Multi-modal memory retrieval

Coming soon

Privacy first

Family memory archives

Coming soon

Beta

AI reflection companion

Coming soon

Experimental

Personal emotional analytics

Coming soon

Memories deserve better than being forgotten.

Join the waitlist and help shape the future of ethical memory intelligence.

No spam, ever. One launch note when access opens.