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Framework Comparison

Compare popular agentic AI frameworks and find the perfect fit for your project

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Migration & Adoption Paths

Step-by-step guides for adopting a new framework or migrating from an existing solution.

Select Migration Path

Migrating to LangChain

LangChain offers the richest ecosystem and most extensive tooling for agent workflows.

1Install Dependencies

5 min

pip install langchain langchain-openai langchain-community

2Set up LLM

10 min

Initialize OpenAI, Anthropic, or other LLM providers

3Define Tools

30 min

Convert existing tools to LangChain Tool format

4Build Agent

1 hour

Use create_react_agent() or create_openai_tools_agent()

5Add Memory

30 min

Implement ConversationBufferMemory or custom memory

6Test & Iterate

2 hours

Run tests, adjust prompts, tune parameters

⚠ Important Considerations

  • •LangChain API can change frequently - pin versions
  • •Large dependency tree - consider Docker for deployment
  • •Use LangSmith for debugging and monitoring
  • •LCEL (LangChain Expression Language) for complex chains

🎯 Migration Best Practices

  • •Start small: Migrate one workflow at a time, not everything at once
  • •Test extensively: Agent behavior can differ between frameworks
  • •Keep old system running: Parallel operation during transition period
  • •Document everything: Decisions, gotchas, and lessons learned
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