LangGraph, CrewAI and AutoGen Compared on Architecture for Production Agents

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A comparison of three popular agent frameworks, LangGraph, CrewAI, and AutoGen, focuses on how each executes workflows, manages state, and recovers from failures rather than on feature lists. LangGraph models workflows as cyclical graphs with typed state checkpointed after every step, enabling pause, resume, and replay. CrewAI organizes agents by role and task within crews, with simpler mental models but less explicit state handling, and offers Flows for more control. AutoGen relies on conversational message exchange among agents, which suits discussion-style tasks but can be harder to predict. The article notes that AutoGen has been in maintenance mode since October 2025, with Microsoft Agent Framework as its successor. No single framework is presented as best; the choice depends on whether deterministic, resumable execution or faster prototyping is the priority.

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