AI-Agentic Lifestyle Operating System

Where Thoughts Become Reality

OmniQ Labs builds ThoughtsUPP — a platform that captures group and solo ideas, orchestrates 17 AI agents, and drives them from raw thought to real-world execution.

17
AI Agents
16
Microservices
175+
Integrations
19
MCP Servers
Ideas Die in Group Chats
“We should plan a Goa trip.” “Let’s throw a surprise party.” “I need to start prepping for GATE.” These thoughts live and die in WhatsApp threads, scattered notes, and forgotten DMs.
💬

Chat Apps

WhatsApp and Telegram capture conversation, not decisions. Ideas drown in message noise. Decisions made in one thread vanish in another.

🗂

Vertical Apps

MakeMyTrip for flights, Zomato for food, Eventbrite for events. Each solves one domain; none handles the full group decision journey.

📋

Productivity Tools

Notion and Todoist are built for individuals. No native group consensus, simulation, or cultural awareness for real-life planning.

🤖

AI Assistants

ChatGPT responds to isolated prompts. It doesn’t persist context, orchestrate specialised agents, or drive multi-step execution.

The Thought Model
Every idea becomes a structured, typed, mode-aware computational object. Classified by mode (Group or Solo) and type (one of four universal primitives).
Thought
Idea
Plan
Execute
🎯

Goal

Desired future state. Personal, Professional, Financial, Health, Social, Spiritual. Short / Medium / Long horizon.

🔄

Activity

Recurring or composite pattern. Travel, Learning, Fitness, Creative, Worship, Leisure, Shopping, Socialising.

🎉

Event

Time-bounded happening. Religious, Lifecycle, Seasonal, Civic, Social, Commercial. From Diwali puja to product launches.

Task

Concrete actionable unit. Done or not done. Always linked to a parent Goal, Activity, or Event. The atomic building block.

Lifestyle360: The Operating System
A 5-layer SaaS platform. 16 independent microservices. JSON-templated workflows. Think of it like Android for lifestyle — an OS with APIs, services, permissions, and a marketplace.
5
SaaS Marketplace
Community-created workflow templates, vendor integrations, AI agents. Anyone can create, list, and monetise extensions.
4
Applications
ThoughtsUPP, OmniQTrips, OmniQTeams, OmniQWedding — or custom enterprise apps built on the platform.
3
Pillar Compositions
5 pillars (Events, Activities, Tasks, Goals, Social) as pre-configured combinations of microservices.
2
Core Microservices
16 services: omniq-thought, chat, idea, plan, execute, member, vote, vendor, nearby, expense, media, notify, ai, workflow, life, link.
1
Workflow Engine
JSON-templated orchestration. UI, business logic, integrations, AI behaviours — all config-driven, infinitely customisable.
17 Agents. One Orchestrator.
Specialised AI agents communicate via A2A protocol, connect to 19 MCP servers, and use size-appropriate models from ~8B parameters down to rule-based engines.
🦁
ZooZoo
Orchestrator · ~8B SLM
🚗
MoveAgent
Transport
🍽️
FoodAgent
Dining
🎯
FunAgent
Activities
💰
MoneyAgent
Budget
📅
TimeAgent
Calendar
🗺️
PlanAgent
Itinerary
🧭
DestAdvisor
Destinations
🏛️
VenueAgent
Venues
👥
GuestAgent
Guest Mgmt
🍲
CateringAgent
Catering
🎨
DecorAgent
Decoration
🛍️
ShoppingAgent
Shopping
🌍
TravelAgent
Travel Coord
A2A + GibberLink + MCP
Three purpose-built protocols that make multi-agent orchestration fast, reliable, and extensible.

A2A Protocol

Agent-to-Agent

Loose-coupled communication bus. Agents never import each other — new agents are added without modifying existing code.

  • 4 patterns: Hub, Direct, Broadcast, Fallback Chain
  • 6 message types with correlation IDs
  • Priority levels: Low, Normal, High, Critical
  • TTL-based message expiry (30s default)
  • Full audit trail (last 100 messages)

GibberLink

Binary Compression

Purpose-built binary protocol that reduces A2A message size by 85%. Makes multi-agent orchestration fast enough for real-time group planning.

  • 16-byte compact header (magic, version, type, flags...)
  • Agent ID registry: string names → 1-byte codes
  • Per-pair negotiation handshake on startup
  • Transparent JSON fallback if negotiation fails
  • ~40% latency improvement, ~15x bandwidth savings

MCP Servers

Model Context Protocol

19 external API servers across 7 categories. Each handles auth, pagination, rate limiting, and response normalisation with automatic fallback chains.

  • Flights: Amadeus → Skyscanner → Google Flights
  • Hotels: Booking.com → Airbnb → Google Places
  • Transport: Google Maps, Uber/Ola, IRCTC, Zoomcar
  • Food: Zomato, OpenTable, Swiggy/DoorDash
  • + Activities, Finance, Calendar, Weather, PDF
One Ontology. Every Culture.
Diwali and Thanksgiving are the same Event class with different attribute values. Culture is context, not a separate model. India-first, world-ready.

🪔 Diwali Celebration

Same Event primitive. Different meta: type=Religious, region=India, tradition=Hindu, host_type=Family, scale=Community.

Religious India Hindu Family Community

🦃 Thanksgiving Dinner

Same Event primitive. Different meta: type=Seasonal, region=North America, tradition=Secular-US, host_type=Self, scale=Family.

Seasonal North America Secular-US Self Family

💒 Wedding Celebration

Same Event primitive. Different meta: type=Lifecycle, region=Global, tradition varies, host_type=Family, scale=Community. Nests: Reception → Bachelor Party → Bookings → Budget.

Lifecycle Global Family Community Nested Pillars
AI Launchpad SDK
Configuration-only SDK. Zero business logic. Shared across all OmniQ initiatives. Multi-provider LLM support, guardrails, compliance, security, and tiered engine routing.
🧠

LLM Config

OpenAI, Anthropic, Gemini, Local. Automatic fallback chains. Per-task model routing. Token budgets and cost caps.

🛡️

Guardrails

PII detection & redaction. Toxicity filtering (5 categories). Output hallucination grounding. Custom regex patterns.

📜

Compliance

4-level audit logging. GDPR/HIPAA/SOX flags. Data retention policies (30-365 days). Consent tracking. Cost alerts.

🔐

Security

Prompt injection defense (12+ patterns). Rate limiting (RPM/TPM/daily). RBAC with tier gating. Input sanitisation.

⚙️

Engine Tiers

omniq-Graph (free) → omniq-Chain (standard) → LangGraph (pro) → Custom (enterprise). Automatic fallback.

7 Patent Filings. Defensible Innovation.
We’re not just building a product — we’re establishing a defensible IP moat around the foundational architecture of agentic lifestyle orchestration.
PATENT 01

Thought Object Model

Typed, mode-aware idea objects with bidirectional graph relationships and lifecycle state machine (Thought → Idea → Plan → Execute).

PATENT 02

Group Decision Layer

Structured consensus-building (voting, preference graphs, constraint satisfaction) overlaid on existing messaging platforms.

PATENT 03

Virtual-First Simulation

17 parallel agents generate, score, and iteratively refine candidate plans via A2A protocol before real-world commitment.

PATENT 04

A2A + GibberLink Protocols

Binary compression with 16-byte header, agent ID registry, per-pair negotiation, 85% size reduction, and 4 communication patterns.

PATENT 05

Multi-Agent Orchestration

17-agent coordination with SLM tiers (~8B to rule-based), MCP fallback chains across 19 servers, LangGraph state machines.

PATENT 06

Cross-Cultural Ontology

Culture as attribute values within a universal ontology of 4 primitives — not separate class hierarchies per culture.

PATENT 07

AI Launchpad SDK

Configuration-only SDK: multi-provider LLM fallback, injection defense registry, tiered engine routing, unified guardrails/compliance/RBAC.

The Scale of ThoughtsUPP
17
AI Agents
19
MCP Servers
16
Microservices
175+
Vendor Integrations
85%
GibberLink Compression
5
Platform Pillars
4
Universal Primitives
7
Patent Filings