🏗️ Architecture: How to fix WhatsApp conversation memory loss and transform V...

Date: 2026-03-01
Time: 18:16:11 UTC
Session: gspace1-158.6
Agent: backend
Confidence: 92%
Status: ✅ Documented

📋 Decision Context

Question:

How to fix WhatsApp conversation memory loss and transform Vitto from chatbot to genuine agent?

Task: Session 158: Fix WhatsApp memory + transform Vitto chatbot to agent

🎯 Decision Made

Chosen:

5 memory fixes (broadened type filter, dropped spaceId, killed false first-interaction, added raw metadata, retry with fallback) + AgentSession history injection + complete system prompt rewrite (user context FIRST, emotional tone detection, channel-adaptive formatting, NEVER/ALWAYS rules, agent identity over chatbot behavior).

Options Considered:

• No alternatives documented

💭 Reasoning

Root causes: (1) type filter only loaded 'conversation' memories, discarding user_preference/correction/learning types where personal facts like kids names are stored; (2) spaceId filter returned 0 for WhatsApp (no spaceId); (3) 'first interaction' fallback triggered cold resets; (4) fire-and-forget memory save silently lost conversations. The system prompt rewrite puts knowledge BEFORE tools, removes chatbot phrases ('Great question!', self-introductions), and adds emotional tone matching. Channel-adaptive tool descriptions keep WhatsApp concise.

📁 Files Involved

• APIs/backend-vitto-api/src/app/engine/vitto-engine.service.ts
• APIs/backend-vitto-api/src/app/types/vitto.types.ts

🔗 Related

• Decision ID: dev_1772388971576_8o692gq
• Session: 158
• Workspace: gspace1

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