Shrinam.A native engine, not a CRM lookup.
Most AI chatbots say "memory" โ but they really mean a CRM record. Shrinam runs a native 6-layer memory engine built in-house: visitor-level, cross-session, self-healing, and impossible to confuse between speakers.
Each layer is a Hindustani AI Logics invention โ not a vendor SDK.
Active-turn context. What was just said, what is on screen, who is speaking.
Every utterance is tagged with the speaker's voice-ID and name โ never confuses who said what.
Every episode is captured as a 5-component frame: identity (ฮน), topic (ฯ), reason (ฯ), affect (ฮฑ), state (ฯ).
Long-term store with relevance scoring. Past chunks are blended into the current turn at retrieval time.
Recursive Hierarchical Content Map โ billions of memory nodes, organized for sub-second retrieval.
Causal event graph with self-healing hashes. Drift is detected and repaired before it shows up as a hallucination.
These come from actual conversation logs.
Recognized by voice + name three months after the first visit. No login required.
Picks up the previous thread at the exact line where it ended.
Natural follow-up from past visit history. Asks at the right moment, never spams.
Stored intent + business context, recalled at the start of every new conversation.
A side-by-side on memory depth.
Come back tomorrow. She will remember everything you said today.
Talk to Shrinam โ