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8 pages in this section.
Explains the axes (orchestration model, state handling, ecosystem) that separate one agent framework from another so you compare products on control flow, not brand.
A first side-by-side comparison of two frameworks solving the identical simple task so you feel orchestration differences before reading comparison tables.
A reference table comparing LangGraph, CrewAI, Microsoft Agent Framework, LlamaIndex, Pydantic AI, native SDKs, Vercel AI SDK, and no-code options by orchestration style, language, and maturity - with honest trade-offs.
A decision checklist weighing Python vs TypeScript fluency, team size, and ops maturity against LangGraph, CrewAI, Microsoft, LlamaIndex, Pydantic AI, native SDKs, Vercel AI SDK, and no-code options.
Ten practices for evaluating and committing to an agent framework without over-committing early - spikes, scorecards, portability seams, and revisit triggers.