About this project
Impact.OS is an AI-powered multi-agent project management operating system built using NitroStack, TypeScript, and the Model Context Protocol (MCP). It transforms a single natural-language project goal into an autonomous, end-to-end execution workflow through four specialized AI agents collaborating via a shared ProjectState. Instead of manually managing project planning, budgeting, procurement, scheduling, documentation, reporting, and progress tracking across multiple disconnected tools, users simply provide a high-level objective. The system automatically interprets the goal, generates milestones, creates timelines, identifies campus resources, estimates costs, builds a Bill of Materials (BOM), evaluates sustainability, monitors project health, and produces reports while coordinating all agent interactions through a central Project Director. Impact.OS follows a human-in-the-loop approach, requiring explicit approval before purchases, resource bookings, meeting confirmations, external communications, or major deadline changes. Deterministic TypeScript services handle calculations, validation, database updates, and state management, while AI focuses on planning, reasoning, recommendations, and report generation. Every workflow is persisted in MongoDB with complete execution logs, enabling projects to resume seamlessly after interruptions. Designed as a 24-hour hackathon MVP with enterprise scalability in mind, Impact.OS demonstrates how autonomous AI agents can simplify project execution for engineering students, research groups, startups, innovation labs, and campus organizations by reducing administrative overhead and allowing teams to focus on building impactful solutions.
Enterprise AI & Workplace Automation track
Develop AI agents and automation tools that improve productivity, streamline workflows, and enhance business operations.