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Re:The Agent2Agent Protocol (A2A) by phillipcarter on Wednesday April 09, 2025 @06:14PM (#43638626)
Langchain has long solved (we can argue on if it's done it well, opinions vary) the problem of needing to orchestrate LLM calls into a coherent workflow. Plus it had a first mover advantage.

MCP solves a data and API integration problem.

Both are concrete things that people need to do today. AI agents talking to one another is not a concrete problem that organizations building features that integrate AI have today.

Re:The Agent2Agent Protocol (A2A) by __loam on Wednesday April 09, 2025 @06:44PM (#43638819)
Langchain is one of the most hilarious libraries I've ever had the displeasure of looking through. Many of the abstractions look like they were written by a college student who took clean code way too literally. Many of the methods are so trivial and shallow that I'm shocked people use it in any serious capacity.
Re:The Agent2Agent Protocol (A2A) by tomaskafka on Thursday April 10, 2025 @07:17AM (#43642754)
This. I was amazed opening something like PagagraphLineReaderFactory, thinking it somehow deals smartly with paragraph boundaries and too long paragraphs etc., and finding a trivial single line regex wrapped in two screens of OOP boilerplate.
Re:The Agent2Agent Protocol (A2A) by XCSme on Monday April 14, 2025 @08:52AM (#43680752)
> the problem of needing to orchestrate LLM calls into a coherent workflow.

I didn't feel the need to use Langchain, chaining LLM calls is usually just a few lines of code (I think even fewer than when using Langchain).