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Why are there so many AI frameworks?
Why does it feel like every developer in the bay area announces ANOTHER MCP library to write client/servers for AI...the USB-C of AI they say, it feels to me like the nightmare of AI, because everything moves so fast and everyone is building more stuff (and barely maintaining it)
There are a lot of AI frameworks to begin with: LangChain. LlamaIndex. AutoGen. CrewAI. DSPy. OpenDevin. Semantic Kernel... They re all trying to answer one basic question:
'The best way to reliably interact with an LLM so that you can bolt things like memory, tools, and MCP to your AI agent'