Multi-Agent Collaborative AI Architecture

Core Methodology & Features:

Agent Orchestration: Developed a structured environment where distinct AI agents are assigned specialized roles (e.g., researcher, coder, reviewer), interacting through a shared context window or messaging protocol.

State Management & Logic: Implemented dynamic decision-making trees and conversational logic, allowing agents to delegate sub-tasks, critique outputs, and iterate on solutions autonomously.

Backend Integration: Built a robust API layer using NestJS to manage agent sessions, log inter-agent communication, and serve the final consolidated outputs to a user interface.

Tech Stack: Python, LangChain/OpenAI APIs, NestJS, Mongoose.