LangChain, CrewAI, or LlamaIndex: Choosing the Right AI Agent Library for Python

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Developers building production-ready AI agents in Python have three well-established library options: LangChain, CrewAI, and LlamaIndex. LangChain offers granular control over prompts, memory, and tool integration, making it suitable for complex multi-LLM workflows. CrewAI abstracts agent work into role-based task decomposition, reducing boilerplate for multi-step orchestration. LlamaIndex is optimized for data-heavy use cases, enabling natural language querying over large document collections via vector stores. All three are open source, support major LLM providers like OpenAI and Anthropic, and offer async APIs compatible with FastAPI, though dependency version conflicts — particularly around the shared openai package — remain a common pitfall.

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