Management Console for Orchestrating Multiple AI Agents

Added Jun 2025 3 design docs

As organizations adopt AI agents for research, business analysis, and content work, they hit an operational wall: agents multiply, configurations sprawl, and nobody has one place to organize and govern them. This project builds the management layer that brings order to a growing agent fleet. The intern develops a suite for organizing, managing, and customizing multiple agents built on CrewAI and Langchain. An agent library catalogs available agents by purpose, user profiles keep each person's agents and settings separate, and a built-in playground lets users experiment with configurations safely before putting an agent to work. A FastAPI backend, written in Python, handles agent lifecycle, storage, and execution, while a Streamlit interface makes browsing the library, customizing behavior, and launching agents straightforward for non-specialists. The project teaches the intern to think about AI systems as managed products, including cataloging, configuration management, and safe experimentation, rather than one-off scripts. Completing it demonstrates the operational and platform engineering perspective that companies deploying agents at scale now hire for.

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