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Agent Frameworks in Practice

Agent frameworks have become essential tools for building intelligent, autonomous systems that can reason, plan, and execute tasks with minimal human intervention. This series explores the four most mature production-ready frameworks in 2026: LangGraph (state-graph based, from LangChain), CrewAI (role-based multi-agent orchestration), AutoGen (research-focused team collaboration), and the OpenAI Agents SDK (tight Claude/GPT integration with tool use).

Whether you're building a customer-support chatbot that can handle handoffs, a research team of specialized agents, or a code-generation pipeline that learns from feedback, these frameworks provide battle-tested patterns for persistence, interruption, streaming, and graceful degradation. This series moves from what agent frameworks are through advanced patterns like human-in-the-loop approval flows and practical migration strategies between platforms.

By the end of this series, you will understand:

  • The architectural differences between frameworks (state graphs vs. message flows, synchronous vs. event-driven)
  • How to choose the right framework for your use case (latency, team complexity, integration breadth)
  • How to implement checkpoints, recovery, and human approval loops—critical for production safety
  • How to stream agent outputs to UIs in real-time without blocking inference
  • Real migration paths when moving from one framework to another

Each article is self-contained but builds on concepts from earlier chapters. Code examples are in Python 3.11+, tested against LangGraph 0.2+, CrewAI 0.35+, AutoGen 0.2.29+, and OpenAI Python SDK 1.45+.

Articles in this series​

  1. What Is an Agent Framework? Core Concepts Explained
  2. LangGraph vs CrewAI: Choosing Your First Framework
  3. Building Your First Agent with LangGraph State Graphs
  4. CrewAI Multi-Agent Teams for Complex Workflows
  5. Persistence and Memory in LangGraph Checkpoints
  6. Human-in-the-Loop Agents with Interrupts and Approval
  7. Streaming Agent Outputs in Real-Time
  8. AutoGen Agents for Research and Code Generation
  9. OpenAI Agents SDK and Tool Use Patterns
  10. Migrating Between Frameworks: Tools, Patterns, and Gotchas