As organizations rush to implement AI, which frameworks are being widely adopted? Recent survey data reveals a growing preference for a few industry leaders, especially OpenAI and Google, while others like LangChain and CrewAI find their niche.
Key Frameworks to Know:
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OpenAI Agents SDK (51%):
- Pros: Strong integration, high reliability, easy scalability.
- Cons: Less flexibility for varied deployments.
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Google Agent Development Kit (40%):
- Pros: Modular, extends well across services.
- Cons: Dependent on Google’s models; slower adoption.
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LangChain (24%):
- Pros: Flexible, extensive ecosystem.
- Cons: Complexity and reliability issues.
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LangGraph (16%):
- Pros: Robust state management for complex tasks.
- Cons: Requires deep engineering expertise.
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CrewAI (15%):
- Pros: Easy multi-agent collaboration.
- Cons: Limited enterprise reliability.
Understanding these frameworks is crucial for anyone looking to stay ahead in the AI landscape.
👉 What framework are you considering? Share your thoughts!
