Vitto AI
The persistent AI agent powering GoGrab Space
Vitto AI
Virtual Intelligent Task & Tool Orchestrator
Every AI coding tool on the market is stateless — Cursor, Copilot, Lovable, Bolt.new all start from zero every session. Vitto is a fundamentally different architecture: a persistent, metacognitive agent that accumulates intelligence over time.
Persistence — The Core Differentiator
Vitto doesn't start from scratch. It searches its vector memory for similar past decisions, recalls what worked and what didn't, and applies that intelligence. Every decision makes the next one better.
The intelligence is per-user. The longer you use GoGrab, the smarter Vitto gets about YOUR preferences, YOUR codebase, YOUR patterns. A new competitor starts at zero. We're compounding.
Preflight efficiency: ~100 tokens to load relevant context vs. ~2,000 for a full history dump — 15x more efficient, which directly impacts compute costs and response quality.
Metacognition
Most AI is a black box. Vitto has a live conscience stream — real-time transparency into its reasoning:
- Per-user conscience — SSE stream showing what Vitto thinks as it works on your task
- Admin introspection — Global view of all AI activity across the platform
- Dialectic enrichment — Vitto asks what it doesn't know instead of guessing
This is a trust accelerator. Enterprise customers need to audit AI decisions. Regulated industries need explainability. The conscience stream turns "I don't trust AI" into "I can see exactly what it's doing."
Multi-Model Orchestration
| Model | Role | Cost |
|---|---|---|
| Claude Sonnet 4.6 | Primary orchestration | Medium |
| Claude Opus 4.6 | Maximum reasoning, high-stakes | High |
| Claude Haiku 4.5 | Summaries, sub-tasks | Low |
| GPT-4.1 | Large context, strong tool use | Medium |
| Gemini 3 Flash | Fast multimodal | Low |
| DeepSeek | Chain-of-thought reasoning | Very Low |
The router optimizes for quality AND cost. 60%+ of tasks route to lower-cost models without quality degradation. This is how we maintain software-grade margins (89%) instead of typical AI margins (40-60%).
Proactive Intelligence
Vitto doesn't wait for instructions:
- Quality Guardian — Monitors task success rates hourly. Quality drops >15% trigger automatic WhatsApp alerts with one-tap approval to investigate
- Health Monitoring — API health, build pipelines, deployment status — continuous
- Smart Alert Governance — 5 safety guards: master toggle, per-trigger opt-out, quiet hours, frequency caps, deduplication
This is post-deployment value. Every AI generator stops when you ship. Vitto keeps working. That's the difference between a tool and an operating layer.
Three Layers
Developer Partner — Full file and shell access in VS Code. Drop files onto chat. @file mentions. Streaming code actions. A coding surface, not a sidebar.
Space Builder — Visual platform architect through Studio. 7-phase generation. 40+ files per module. 10 specialist agents in parallel. Live preview with real data.
End-User Experience — Invisibly powers intelligent features in every deployed Space. No AI branding forced on end users.
80+ MCP Tools
Exposed through Anthropic's Model Context Protocol — the emerging standard for AI tool integration. Available to Claude Desktop, Cursor, VS Code, and any MCP client.
| Category | Count |
|---|---|
| Decision & Learning | 16 |
| Multi-Agent Coordination | 12 |
| Session & Metacognition | 10 |
| Browser & Computer Use | 9 |
| Code Generation | 10 |
| Proactive Intelligence | 8 |
| Desktop & Connectivity | 7 |
| Platform Intelligence | 10+ |
The Flywheel
More users → More decisions → Better pattern recognition
→ Better anti-pattern detection
→ Smarter generation
→ Better experience → More users
This compounds. And it's increasingly difficult for competitors to replicate because the intelligence is tied to accumulated operational data, not model quality.