Hey C2SI team,
I'm Arti Yashwant Barsagade from Nagpur, India. I completed B.Sc. Biotechnology in 2020 and switched into software development on my own — self-taught MERN stack and AI integration.
I've built an Animal Rescue platform, and an AI Interview Q&A tool — all MERN + AI.
I'm interested in the B0Bot project for GSoC 2026. I've gone through the B0Bot repository and I'm currently learning LangChain and LangGraph to prepare for the agentic framework implementation.
Quick question for the mentor — for the multi-turn dialogue requirement, is the preference to use LangGraph's built-in MemorySaver checkpointer, or would you prefer a different persistence approach to keep it consistent with B0Bot's existing stack?
GitHub: Artibar