🏗️ Architecture: What is the fundamental architecture problem limiting Vitto'...

Date: 2026-02-11
Time: 19:39:03 UTC
Session: gspace1-106.2
Agent: backend
Confidence: 95%
Status: ✅ Documented

📋 Decision Context

Question:

What is the fundamental architecture problem limiting Vitto's intelligence?

Task: Session 106: Vitto cross-database knowledge federation architecture

🎯 Decision Made

Chosen:

Vitto's Mind (vitto-mind MongoDB) is isolated from the platform's knowledge stores (ai-agents, ai-mcp-dev, ai-memory, ai-context, ai-archive in gograbspace MongoDB, plus gograb-docs and gograb-api). Vitto can call backend-ai-api via HTTP for individual lookups, but has no systematic way to ingest, index, or learn from the platform's accumulated intelligence. The architecture needs a Knowledge Federation Layer that gives Vitto read access to platform knowledge and write access to feed its learnings back.

Options Considered:

• No alternatives documented

💭 Reasoning

Looking at MongoDB Compass: gograbspace has ai-agents (decisions), ai-mcp-dev (core rules, patterns), ai-memory, ai-context, ai-archive, ai-backups. Vitto has vitto-mind (execution traces, strategies, agent performance, skills, active tasks, codebase index). These are two separate knowledge universes. The MCP system captures developer decisions; Vitto captures execution outcomes. Neither feeds the other systematically. This is the core bottleneck to Vitto becoming truly intelligent.

📁 Files Involved

• apis/backend-vitto-api/src/app/mind/mind.service.ts
• apis/backend-ai-api/src/app/learning/learning.service.ts
• apis/backend-vitto-api/src/app/connectivity/backend-ai-client.service.ts

🔗 Related

• Decision ID: dev_1770838743258_x621qst
• Session: 106
• Workspace: gspace1

Auto-generated by MCP Smart Consolidation