Solving LLM / AI Memory Loss: A Guide to Checkpointers in LangGraph

LangGraph agents don’t remember by default. Let’s fix that, ? live.

➜ Why attend?
See it break, then fix it. We’ll start with a plain LangGraph agent, watch it lose state, and patch the hole with a checkpointer.
Understand the moving parts. What gets stored, when, and how to rewind or branch a run. No magic, just code.
Leave with sample snippets you can paste into your own repo tonight.

➜ What we’ll cover (live coding)
How LangGraph’s checkpointer API works under the hood
Patterns for persisting and replaying state (Git-style history)
Debugging a multi-step tool chain without rerunning from scratch

➜ Facilitator
Anil Dukkipatty — AI educator who’s trained 800 + devs on LangGraph, from weekend hackers to startup teams.

➜ Who should join?
Developers shipping (or about to ship) LangGraph workflows and tired of stateless agents.

➜ Tooling we’ll use
We’ll use Convo (https://www.npmjs.com/package/convo-sdk) as a drop-in checkpointer.
Keep or swap it as you like—the patterns apply regardless.

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