ai-agents-for-beginners and all-agentic-architectures
One project provides foundational educational material for building AI agents, complementing the other which offers practical implementations of various agentic architectures for different stages of AI system development.
About ai-agents-for-beginners
microsoft/ai-agents-for-beginners
12 Lessons to Get Started Building AI Agents
Structured curriculum covering agent fundamentals, reasoning patterns, and tool integration using Microsoft Agent Framework paired with Azure AI Foundry Agent Service V2. Each of the 12 lessons includes written content, Python code samples, and video walkthroughs demonstrating practical implementations. Available in 50+ languages with automated translation updates via GitHub Actions.
About all-agentic-architectures
FareedKhan-dev/all-agentic-architectures
Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.
Implements 17+ architectures using LangGraph for stateful agent orchestration, with each pattern (Reflection, ReAct, Planning, Multi-Agent, Tree of Thoughts, etc.) demonstrated end-to-end in executable Jupyter notebooks. Features integrated evaluation via LLM-as-a-Judge for quantitative performance measurement and real-world scenarios spanning financial analysis, coding, and medical triage. Designed as a structured learning path progressing from single-agent enhancements through advanced multi-agent collaboration, memory systems, and self-aware agents with built-in safety mechanisms.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work