Agentverse is a collection of Jupyter notebooks for learning and building agentic AI systems. Explore multi-agent workflows, LLM orchestration, and real-world AI applications through hands-on projects inspired by Ed Donner's AI Agents certification.
π Website: To learn more, visit agentverse.lisekarimi.com
Main Course Links:
- Udemy Course: https://www.udemy.com/course/the-complete-agentic-ai-engineering-course/
- GitHub Repository: https://github.com/ed-donner/agents
- Course Page: https://edwarddonner.com/2025/04/21/the-complete-agentic-ai-engineering-course/
- Python 3.11.x (not 3.12+)
- uv package manager
- IDE with AI integration (VS Code, Cursor, or similar) - for autocompletion and vibe coding to save time and typing
Get started with Agentverse in three simple steps:
# 1. Clone the repository
git clone https://github.com/lisekarimi/agentverse.git
cd agentverse
# 2. Setup environment
mv .env.example .env # Add your API keys here
# 3. Install dependencies
uv sync| Project | Description | Skill Level | LLM Framework | Links |
|---|---|---|---|---|
| π₯ MedTech AI Opportunity Finder | Generate healthcare/pharma AI business opportunities | Beginner | NA | - |
| π MedGuard Debate | Multi-agent debate system for drug interaction analysis | Intermediate | NA | Related Project |
| π PageBotAI | Web crawling chatbot that answers questions | Advanced | NA | Demo |
| βοΈ WeatherMate | AI agent for weather and event recommendations | Intermediate | NA | Demo |
| π’ MedReach | Multi-Agentic AI System for Personalized HCP Outreach | Intermediate | OpenAI SDK | - |
| πΌ AskMyCV | AI agent for answering career questions using resume data | Beginner | OpenAI SDK | Demo |
| πΉ PRISM | AI-powered swap trading monitoring system | Advanced | CrewAI | Demo |
| π€ Sidekick | Personal AI assistant with evaluator feedback loop | Advanced | LangGraph, Microsoft Agent Framework | - |
| π€ AIObot MCP | Activity suggestions based on weather and local events | Intermediate | OpenAI Agents SDK | Demo |
Each notebook includes:
- Clear problem statement and real-world context
- Step-by-step implementation with explanations
- Workflow schema to understand the core process
- Required API keys and setup instructions
Ready to dive into the world of Agentic AI? π