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

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About Event

​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.


​Built by Builders, Backed by the Best

​We’ve hosted engineers, founders, and researchers from some of the world’s most forward-thinking companies. Here’s a look at who’s been in the room.

Location
San Francisco
CA, USA
Event will be held online. Google Meet link will be shared on the day of the event
Avatar for Beyond Prompts
Presented by
Beyond Prompts
2 Going