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Topics

  • 🧱 Foundations 2 sections
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  • 📊 Statistics and Experiments 4 sections
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  • ✨ Generative AI and LLMs 4 sections
    • Generative AI 12 lessons
    • LLM Development 8 lessons
    • Multimodal AI 12 lessons
    • Agentic Frameworks 12 lessons
      • Overview
      • LangGraph — agents as graphs
      • State and checkpoints in LangGraph
      • CrewAI — role-based agent teams
      • AutoGen — conversational multi-agent systems
      • MCP — the Model Context Protocol
      • DSPy — programming, not prompting
      • smolagents — code-acting agents
      • Designing good tools for agents
      • Agent memory
      • Human-in-the-loop agents
      • Evaluating agents
      • Orchestrating multiple agents
  • 🔬 Inside a Transformer 11 sections
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✨ Generative AI and LLMs · Section 116

🕸️ Agentic Frameworks

The frameworks people build real agents with — LangGraph, MCP, multi-agent systems — and how to evaluate what you built.

Every lesson in this section is written by Pranay Mahendrakar.

12 of 12 lessons published · Three reading levels on every lesson

Start with “LangGraph — agents as graphs”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. 01 LangGraph — agents as graphs
  2. 02 State and checkpoints in LangGraph
  3. 03 CrewAI — role-based agent teams
  4. 04 AutoGen — conversational multi-agent systems
  5. 05 MCP — the Model Context Protocol
  6. 06 DSPy — programming, not prompting
  7. 07 smolagents — code-acting agents
  8. 08 Designing good tools for agents
  9. 09 Agent memory
  10. 10 Human-in-the-loop agents
  11. 11 Evaluating agents
  12. 12 Orchestrating multiple agents
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