I explored multiple AI agent frameworks (LangChain, CrewAI, AWS Strands, and Google ADK) by testing them across diverse use cases such as multi-agent collaboration, integration with MCP tools, support for various language models, and workflow orchestration. Among these, Google ADK and AWS Strands are good/easy to implement agent apps. Both provide comparable features and integrate seamlessly with open-source tools like LiteLLM (for multi-model support) and MCP components (such as StdioServerParameters).
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
I explored multiple AI agent frameworks (LangChain, CrewAI, AWS Strands, and Google ADK) by testing them across diverse use cases such as multi-agent collaboration, integration with MCP tools, support for various language models, and workflow orchestration. Among these, Google ADK and AWS Strands are good/easy to implement agent apps. Both provide comparable features and integrate seamlessly with open-source tools like LiteLLM (for multi-model support) and MCP components (such as StdioServerParameters).