

Solving AI Agent Memory in Langraph - Workshop
2-Hour Build: AI Agent Memory
We’re hacking on agent memory this week.
LangGraph is powerful, but agents forget everything between runs unless you wire up memory. In this session, we’ll give your agent a reliable “brain” that survives restarts, rolls back mistakes, and branches into parallel strategies. All built live, in the same room.
→ Who’s this for?
Anyone building with LangGraph (or planning to) who’s run into the “why does my agent forget?” problem and wants hands-on patterns to fix it.
In these 2 hours, you will:
Understand the core memory patterns behind stateful LangGraph agents.
Learn by building: we’ll wire up a checkpointer, branch three what-ifs, and merge results.
Leave with a clean starter repo you can drop into your own workflow.
→ What we’ll hack on (together)
Persist – plug in a checkpointer and make memory stick.
Rewind & diff – trace an agent’s reasoning, tweak, and replay.
Branch & merge – test multiple paths, keep the best one.
Hot-migrate – evolve schemas without downtime.
Compact – keep storage tidy and costs low.
→ What to bring
Your laptop. This is hands-on. We’ll demo with Convo SDK as the checkpointer, but the concepts are tool-agnostic.
→ Host
Anil Dukkipatty: Has worked with 800+ developers on agent memory and LangGraph workflows.
→ Venue Partner
B-Hive - powering conversations that build the future of AI.
→ 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.