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A developer shares real-world experiences with AI orchestration frameworks (LangGraph, CrewAI, AutoGen), noting trade-offs between ease of prototyping and production reliability, and asks the community about handling failures, human-in-the-loop, and token costs.
CrewAI released a checkpointing feature for its open-source multi-agent framework, allowing AI workflows to be saved, resumed, forked, and inspected rather than restarting from scratch on failure.