Category Breakdown
Starter Agents
13 quick-start boilerplate examples for learning different AI frameworks including Agno, OpenAI SDK, CrewAI, and more.
Simple Agents
14 straightforward, single-purpose agents for tasks like finance tracking, web automation, and newsletter generation.
MCP Agents
12 projects using Model Context Protocol for semantic RAG, database interactions, and external tool integrations.
Memory Agents
12 agents with persistent memory capabilities using frameworks like GibsonAI Memori for context retention.
RAG Applications
11 Retrieval-Augmented Generation examples with vector databases and document processing.
Advanced Agents
14 complex multi-agent workflows and production-ready applications for research, analysis, and automation.
Choose Your Path
For Beginners
Start with Starter Agents to understand different AI frameworks, then move to Simple Agents for practical single-purpose applications.For Intermediate Developers
Explore MCP Agents for external integrations, Memory Agents for context-aware applications, or RAG Applications for knowledge retrieval systems.For Advanced Developers
Dive into Advanced Agents for complex multi-agent systems, production workflows, and sophisticated automation tasks.Common Frameworks & Technologies
Across all categories, you’ll find projects built with:- AI Frameworks: Agno, OpenAI SDK, LlamaIndex, CrewAI, PydanticAI, LangChain, AWS Strands
- LLM Providers: Nebius Token Factory, OpenAI, Anthropic
- Memory Systems: GibsonAI Memori, custom storage solutions
- Vector Databases: LanceDB, Qdrant, Pinecone
- Integration Protocols: Model Context Protocol (MCP)
- UI Frameworks: Streamlit, FastAPI, React
Prerequisites
Most projects require:- Python 3.10 or higher
- Relevant API keys (Nebius, OpenAI, etc.)
- Basic understanding of Python and AI concepts
Next Steps
Browse Starter Projects
Get started with framework-specific templates
View All Examples
Browse all 76+ projects with detailed guides