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Yes. Both frameworks support OpenAI, Anthropic, Azure OpenAI, and local models via Ollama or LiteLLM. LLM configuration syntax differs but the same providers work.
The underlying tool logic (Python functions) transfers directly. You'll change the registration mechanism from AutoGen's register_for_execution/register_for_llm pattern to CrewAI's @tool decorator. The function code stays the same.
CrewAI's documentation is more structured and beginner-friendly. AutoGen went through a significant architectural transition from v0.2 to AG2/v0.4, which created documentation gaps. Both have active communities, but CrewAI's has grown faster in 2025-2026.
Yes. They're independent Python packages with no conflicts. Run both in the same project during migration, migrate agent-by-agent, and remove AutoGen imports once complete.
Compare features, test the interface, and see if it fits your workflow.