Myaigi - Multi-Agent-System

AI Habit-Building & Multi-Agent Behaviour Change System

Industries
STARTUPS ARTIFICIAL-INTELLIGENCE AGENTIC-AI

Tech Stack

JS LangChain LangGraph LLMs RAG

Myaigi is an AI-powered habit-building platform designed to help users improve their daily routines using personalised coaching, structured learning paths, and intelligent behavioural insights. The core system uses agentic AI to break skills into micro-actions, guide users step by step, and track measurable progress.

Challenges

The client needed a fully agentic AI backend that could guide users through the habit-formation cycle without manual coaching.

The platform required a multi-agent architecture capable of reasoning, scheduling, content generation, skill breakdown, and behavioural evaluation.

The system needed to ensure consistent decision-making across agents, maintain motivational tone, align outputs, and deliver personalised habit plans in real time.

The client needed a scalable backend that could run multiple agents in parallel, handle context switching, and maintain accuracy without hallucination.

Responsibilities

Our expert AI Team built a custom multi-agent engine following the D³SSS framework (Design, Deconstruct, Select, Sequence, Sustain).

Implemented the reasoning layer using LangGraph, LLMs, RAG, and modular agent pipelines.

Created a unified memory layer to store user context, goals, history, and behaviour patterns.

Applied motivational logic, safety rules, and consistency checks through an internal Judge Agent.

Delivered a scalable backend capable of powering future mobile and web experiences for Myaigi.

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