AI Memory Keeper

STEP 01

Teach It a Key Customer Note

Send 'Remember: buyer preference / past quote / follow-up note' in WhatsApp, optionally @tag a contact — Memory Keeper stores it verbatim on your Box in 2 seconds

STEP 02

Recall Anytime Before a Follow-Up

Send 'Recall customer name / keyword' — Memory Keeper searches your Box semantically, finds related history and summarizes key points — 10× faster than scrolling chat logs

STEP 03

More Memories, Smarter Employees

Add a note after each deal — the memory library grows over time; support agent, lead-gen agent all draw from it, making the whole AI team smarter about each customer

One Line to Remember a Customer, Forever

'Remember: ACME only accepts FOB, unit price pressed to $3.2' — one line and it's stored verbatim, recalled instantly next time, no scrolling needed

@Contact Tags — Each Customer Gets Their Own File

Send 'Remember @ACME always haggles, confirm MOQ before order' — memory files under ACME's profile; 'Recall ACME' pulls the full history instantly

Dual-Layer: Verbatim on Box, Summary Shareable

Verbatim notes (incl. secrets and privacy) stay only on your Zhimao Box and recall offline; only shareable structured summaries sync to the cloud under tenant isolation — sovereignty and collaboration at once

Every AI Employee Can Ask It to Recall

Support agent recalls ACME's last negotiation before serving; lead-gen agent stores new buyer preferences automatically — all employees share one customer brain

Fuzzy Keywords Still Find Relevant Memories

No need to remember exact wording — 'recall pricing' or 'recall packaging requirements' finds all related entries via semantic matching with offline fallback

Optional AI Summary — Never Fabricates Facts

When recalling ACME, an optional LLM pass summarizes multiple memories into '3 action points'; it only synthesizes what was actually recorded — never infers unrecorded facts