MESA-LLM

[Spartan-71]

Hello everyone! I am interested in working on the mesa-llm project.
I have created this new discussion so that all the comments/discussions are in one place.

[Spartan-71]

As mentioned in the Project wiki mesa-llm should have reusable components like planning, memory and reasoning modules.

Can we use Langchain, Crewai, or any other agentic framework to integrate LLM into Mesa, or should we just refer to how these frameworks are built and then build relevant components from scratch?

[WingchunSiu]

I was thinking the same thing. I think existing frameworks like LangChain and CrewAI are useful for structured workflows but may be too rigid for Mesa-LLM’s modular needs. They encapsulate the planning, memory, and reasoning a bit too much, which simplifies development but may limits deep customization for abm.

A more flexible alternative I could think of is LangGraph, which allows graph-based decision flows. For example adding an LLM-based supervisor to oversee agent reasoning can help maintain adaptability, but ultimately we need highly customizable components tailored to Mesa’s ecosystem. So rather than forcing an external framework it makes more sense to design modular and extensible agent structures I guess.

Curious to hear thoughts—do we see areas where existing frameworks would help, or is customization unavoidable for integration?