问HN：你更喜欢哪个代理框架/工具，为什么？
对于那些在B2B/B2C环境中实施了AI代理工作流程的朋友们：
<p>你们选择了哪个框架（如SmolAgents、OpenAI Agents SDK、CrewAI、LangGraph等），为什么？</p>
<p>你们权衡了哪些权衡（例如，简单性与控制力、单代理与多代理需求）？</p>
<p>我特别想了解一些现实世界的见解，例如：</p>
<ul>
<li>SmolAgents的简约设计（适合轻量级任务）是否足够，还是需要CrewAI的多代理协作（基于角色的工作流程）？</li>
<li>对于OpenAI SDK的用户：紧密的生态系统集成是否值得承担供应商锁定的风险？</li>
<li>状态管理（例如，LangGraph的有向无环图与AutoGen的异步聊天）有多重要？</li>
</ul>
<p>感谢分享你们的经验！</p>
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For those who've implemented AI agentic workflows in B2B/B2C environments:<p>Which framework did you choose (SmolAgents, OpenAI Agents SDK, CrewAI, LangGraph, etc.) and why?<p>What tradeoffs did you weigh (e.g., simplicity vs. control, single vs. multi-agent needs)?<p>I’m especially curious about real-world insights like:<p>- Did SmolAgents’ minimalism (ideal for lightweight tasks) suffice, or did you need CrewAI’s multi-agent collaboration (role-based workflows)?<p>- For OpenAI’s SDK users: Was tight ecosystem integration worth vendor lock-in risks?<p>- How critical was state management (e.g., LangGraph’s DAGs vs. AutoGen’s async chat)?<p>Thanks for sharing your experiences!