Connect

Memory-driven human connections — match people through deep emotional understanding, not surface interests. Powered by Echo's memory graph and emotion-aware embedding system.

Memory-driven human connections. Match people through deep emotional understanding, not surface-level interests or algorithmic feeds.

How it works

Connect analyzes memory graphs to find resonance between people — shared experiences, emotional patterns, and latent interests that surface-level profiles miss entirely.

Core capabilities

• Emotional resonance matching — vector similarity across memory embeddings, weighted by emotional depth rather than keyword overlap
• Cross-user memory bridging — find connections between two people's memory graphs that neither person would discover on their own
• Privacy-first architecture — users control exactly which memories are matchable; nothing is shared without explicit consent
• Aha moment delivery — the moment a stranger truly understands you through your memories, not your bio

Architecture

Built on Echo's three-layer memory system:

1. Identity layer (compressed profile)
2. Working memory (dynamic, context-aware)
3. Long-term storage (Supabase + vector search)

Matching runs against Layer 3 with results surfaced through Layer 2 into conversation context.

Part of the Echo ecosystem

Connect is one component of Echo Chat by Iditor — building memory as social identity infrastructure.

Status

Early development. Core matching algorithm validated with beta users (K-Factor 2, D7 retention 42%).