Cover Image for Solving AI Agent Memory in Langraph - Workshop
Cover Image for Solving AI Agent Memory in Langraph - Workshop
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Solving AI Agent Memory in Langraph - Workshop

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Bengaluru, Karnataka
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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.


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Location
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Bengaluru, Karnataka
Avatar for Beyond Prompts
Presented by
Beyond Prompts
105 Went