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!
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!