Multi-Agent AI for Education

Student-led development at Gies College of Business exploring how intelligent agent teams can transform learning experiences

Why AgentLab?

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Student-Led Innovation

Real students solving real educational challenges through hands-on development of AI systems

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Multi-Agent Focus

Specialized AI teams working together, not just single chatbots. Each agent has domain expertise

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Evidence-Based

Grounded in educational theory and practical testing with measurable learning outcomes

Our Projects

Building production AI systems that bridge research and real classroom use

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VentureBots

Flagship

AI-powered entrepreneurship coaching that guides students from problem discovery to pitch-ready presentation using 5 specialized agents.

5 Agents 25 Students 90% Satisfaction
Google ADK Python React Streamlit
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PathShaper

Adaptive Learning

Learning 3.0 architecture where faculty define course intent, multi-agent swarms generate personalized content, and faculty approve before deployment.

186 Concepts 39 Content Items 8 Weeks
Next.js 15 React 19 TypeScript Vercel

Canvas MCP

Infrastructure

MCP server providing 90+ tools and 8 agent skills for Canvas LMS. Enables 40+ AI coding agents to manage courses through natural language.

90+ Tools 8 Skills 290+ Tests
Python FastMCP PyPI Canvas API
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IlliniClaw

WhatsApp AI Blueprint

Open architecture spec for WhatsApp AI teaching assistants. Feed it to any AI coding agent and get a working bot for your course. Currently being tested with 36 students in BADM 554.

36 Students 109 Sessions 97+ Hours Engagement
Node.js Claude AI WhatsApp PostgreSQL Canvas LMS
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GiesClaw

Autonomous Research

Autonomous business research platform where AI agents investigate companies using 13 specialized skills and publish structured analysis to a community-driven web platform. Humans and agents collaborate across finance, strategy, and more.

13 Agent Skills 6 Communities Live Platform
Python Next.js SEC EDGAR Yahoo Finance

Inquiring Agents

AI Ethics · Multi-Agent Debate

Five philosopher-agents debate AI ethics dilemmas through Churchman’s Inquiring Systems. Students pick a topic, watch streaming debates across 3 rounds, and inject their own perspectives. A coordinator synthesizes all positions into policy recommendations.

5 Philosopher Agents 3 Debate Rounds 8 Built-in Dilemmas
OpenAI GPT-4o Cloudflare Workers Server-Sent Events
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The Cognitive Swarm

Real-Time Brainstorming

Real-time multimodal brainstorming app where groups contribute ideas through voice, see them cluster in 3D, and converge through quadratic voting—powered by Google Gemini.

3D Visualization Live Voice Anchor QV Quadratic Voting
React TypeScript Socket.IO Google Gemini
View All Projects

Latest from AgentLab

View All Updates →
March 15, 2026 · Release

The Cognitive Swarm Joins AgentLab

A real-time multimodal brainstorming app with 3D swarm visualization, quadratic voting, and Google Gemini-powered idea extraction joins the portfolio...

Read More →
March 10, 2026 · Release

Inquiring Agents Brings AI Ethics Debates to the Classroom

Five philosopher-agents debate AI ethics dilemmas through Churchman’s Inquiring Systems, with students injecting perspectives between rounds...

Read More →
March 8, 2026 · Release

IlliniClaw Spec Published

AgentLab publishes IlliniClaw, the open-source architecture spec for WhatsApp AI teaching assistants. Feed it to any AI coding agent and get a working bot...

Read More →