Ask HN: Which agentic framework/tool do you prefer and why?
For those who've implemented AI agentic workflows in B2B/B2C environments: Which framework did you choose (SmolAgents, OpenAI Agents SDK, CrewAI, LangGraph, etc.) and why? What tradeoffs did you weigh (e.g., simplicity vs. control, single vs. multi-agent needs)? I’m especially curious about real-world insights like: - Did SmolAgents’ minimalism (ideal for lightweight tasks) suffice, or did you need CrewAI’s multi-agent collaboration (role-based workflows)? - For OpenAI’s SDK users: Was tight ecosystem integration worth vendor lock-in risks? - How critical was state management (e.g., LangGraph’s DAGs vs. AutoGen’s async chat)? Thanks for sharing your experiences! 1 comments on Hacker News.
For those who've implemented AI agentic workflows in B2B/B2C environments: Which framework did you choose (SmolAgents, OpenAI Agents SDK, CrewAI, LangGraph, etc.) and why? What tradeoffs did you weigh (e.g., simplicity vs. control, single vs. multi-agent needs)? I’m especially curious about real-world insights like: - Did SmolAgents’ minimalism (ideal for lightweight tasks) suffice, or did you need CrewAI’s multi-agent collaboration (role-based workflows)? - For OpenAI’s SDK users: Was tight ecosystem integration worth vendor lock-in risks? - How critical was state management (e.g., LangGraph’s DAGs vs. AutoGen’s async chat)? Thanks for sharing your experiences!
For those who've implemented AI agentic workflows in B2B/B2C environments: Which framework did you choose (SmolAgents, OpenAI Agents SDK, CrewAI, LangGraph, etc.) and why? What tradeoffs did you weigh (e.g., simplicity vs. control, single vs. multi-agent needs)? I’m especially curious about real-world insights like: - Did SmolAgents’ minimalism (ideal for lightweight tasks) suffice, or did you need CrewAI’s multi-agent collaboration (role-based workflows)? - For OpenAI’s SDK users: Was tight ecosystem integration worth vendor lock-in risks? - How critical was state management (e.g., LangGraph’s DAGs vs. AutoGen’s async chat)? Thanks for sharing your experiences! 1 comments on Hacker News.
For those who've implemented AI agentic workflows in B2B/B2C environments: Which framework did you choose (SmolAgents, OpenAI Agents SDK, CrewAI, LangGraph, etc.) and why? What tradeoffs did you weigh (e.g., simplicity vs. control, single vs. multi-agent needs)? I’m especially curious about real-world insights like: - Did SmolAgents’ minimalism (ideal for lightweight tasks) suffice, or did you need CrewAI’s multi-agent collaboration (role-based workflows)? - For OpenAI’s SDK users: Was tight ecosystem integration worth vendor lock-in risks? - How critical was state management (e.g., LangGraph’s DAGs vs. AutoGen’s async chat)? Thanks for sharing your experiences!
Hacker News story: Ask HN: Which agentic framework/tool do you prefer and why?
![Hacker News story: Ask HN: Which agentic framework/tool do you prefer and why?]()
Reviewed by Tha Kur
on
March 27, 2025
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